Publications

Displaying 1 - 100 of 1599
  • Bauer, B. L. M. (in press). Latin varieties and the study of language. Social stratification in language evolution. In Latin vulgaire - latin tardif XIV. Turnhout: Brepols.
  • Mishra, C., Skantze, G., Hagoort, P., & Verdonschot, R. G. (in press). Perception of emotions in human and robot faces: Is the eye region enough? In Proceedings of the 16th International Conference on Social Robotics +AI (ICSR 2024).
  • Akamine, S., Ghaleb, E., Rasenberg, M., Fernandez, R., Meyer, A. S., & Özyürek, A. (2024). Speakers align both their gestures and words not only to establish but also to maintain reference to create shared labels for novel objects in interaction. In L. K. Samuelson, S. L. Frank, A. Mackey, & E. Hazeltine (Eds.), Proceedings of the 46th Annual Meeting of the Cognitive Science Society (CogSci 2024) (pp. 2435-2442).

    Abstract

    When we communicate with others, we often repeat aspects of each other's communicative behavior such as sentence structures and words. Such behavioral alignment has been mostly studied for speech or text. Yet, language use is mostly multimodal, flexibly using speech and gestures to convey messages. Here, we explore the use of alignment in speech (words) and co-speech gestures (iconic gestures) in a referential communication task aimed at finding labels for novel objects in interaction. In particular, we investigate how people flexibly use lexical and gestural alignment to create shared labels for novel objects and whether alignment in speech and gesture are related over time. The present study shows that interlocutors establish shared labels multimodally, and alignment in words and iconic gestures are used throughout the interaction. We also show that the amount of lexical alignment positively associates with the amount of gestural alignment over time, suggesting a close relationship between alignment in the vocal and manual modalities.

    Additional information

    link to eScholarship
  • Ben-Ami, S., Shukla, Vishakha, V., Gupta, P., Shah, P., Ralekar, C., Ganesh, S., Gilad-Gutnick, S., Rubio-Fernández, P., & Sinha, P. (2024). Form perception as a bridge to real-world functional proficiency. In L. K. Samuelson, S. L. Frank, M. Toneva, A. Mackey, & E. Hazeltine (Eds.), Proceedings of the 46th Annual Meeting of the Cognitive Science Society (CogSci 2024) (pp. 6094-6102).

    Abstract

    Recognizing the limitations of standard vision assessments in capturing the real-world capabilities of individuals with low vision, we investigated the potential of the Seguin Form Board Test (SFBT), a widely-used intelligence assessment employing a visuo-haptic shape-fitting task, as an estimator of vision's practical utility. We present findings from 23 children from India, who underwent treatment for congenital bilateral dense cataracts, and 21 control participants. To assess the development of functional visual ability, we conducted the SFBT and the standard measure of visual acuity, before and longitudinally after treatment. We observed a dissociation in the development of shape-fitting and visual acuity. Improvements of patients' shape-fitting preceded enhancements in their visual acuity after surgery and emerged even with acuity worse than that of control participants. Our findings highlight the importance of incorporating multi-modal and cognitive aspects into evaluations of visual proficiency in low-vision conditions, to better reflect vision's impact on daily activities.

    Additional information

    link to eScholarship
  • Cheung, C.-Y., Kirby, S., & Raviv, L. (2024). The role of gender, social bias and personality traits in shaping linguistic accommodation: An experimental approach. In J. Nölle, L. Raviv, K. E. Graham, S. Hartmann, Y. Jadoul, M. Josserand, T. Matzinger, K. Mudd, M. Pleyer, A. Slonimska, & S. Wacewicz (Eds.), The Evolution of Language: Proceedings of the 15th International Conference (EVOLANG XV) (pp. 80-82). Nijmegen: The Evolution of Language Conferences. doi:10.17617/2.3587960.
  • Cos, F., Bujok, R., & Bosker, H. R. (2024). Test-retest reliability of audiovisual lexical stress perception after >1.5 years. In Y. Chen, A. Chen, & A. Arvaniti (Eds.), Proceedings of Speech Prosody 2024 (pp. 871-875). doi:10.21437/SpeechProsody.2024-176.

    Abstract

    In natural communication, we typically both see and hear our conversation partner. Speech comprehension thus requires the integration of auditory and visual information from the speech signal. This is for instance evidenced by the Manual McGurk effect, where the perception of lexical stress is biased towards the syllable that has a beat gesture aligned to it. However, there is considerable individual variation in how heavily gestural timing is weighed as a cue to stress. To assess within-individualconsistency, this study investigated the test-retest reliability of the Manual McGurk effect. We reran an earlier Manual McGurk experiment with the same participants, over 1.5 years later. At the group level, we successfully replicated the Manual McGurk effect with a similar effect size. However, a correlation of the by-participant effect sizes in the two identical experiments indicated that there was only a weak correlation between both tests, suggesting that the weighing of gestural information in the perception of lexical stress is stable at the group level, but less so in individuals. Findings are discussed in comparison to other measures of audiovisual integration in speech perception. Index Terms: Audiovisual integration, beat gestures, lexical stress, test-retest reliability
  • Dang, A., Raviv, L., & Galke, L. (2024). Testing the linguistic niche hypothesis in large with a multilingual Wug test. In J. Nölle, L. Raviv, K. E. Graham, S. Hartmann, Y. Jadoul, M. Josserand, T. Matzinger, K. Mudd, M. Pleyer, A. Slonimska, & S. Wacewicz (Eds.), The Evolution of Language: Proceedings of the 15th International Conference (EVOLANG XV) (pp. 91-93). Nijmegen: The Evolution of Language Conferences.
  • Dang, A., Raviv, L., & Galke, L. (2024). Morphology matters: Probing the cross-linguistic morphological generalization abilities of large language models through a Wug Test. In CMCL 2024 - 13th Edition of the Workshop on Cognitive Modeling and Computational Linguistics, Proceedings of the Workshop (pp. 177-188). Kerrville, TX, USA: Association for Computational Linguistics (ACL).
  • Dona, L., & Schouwstra, M. (2024). Balancing regularization and variation: The roles of priming and motivatedness. In J. Nölle, L. Raviv, K. E. Graham, S. Hartmann, Y. Jadoul, M. Josserand, T. Matzinger, K. Mudd, M. Pleyer, A. Slonimska, & S. Wacewicz (Eds.), The Evolution of Language: Proceedings of the 15th International Conference (EVOLANG XV) (pp. 130-133). Nijmegen: The Evolution of Language Conferences.
  • Galke, L., Ram, Y., & Raviv, L. (2024). Learning pressures and inductive biases in emergent communication: Parallels between humans and deep neural networks. In J. Nölle, L. Raviv, K. E. Graham, S. Hartmann, Y. Jadoul, M. Josserand, T. Matzinger, K. Mudd, M. Pleyer, A. Slonimska, & S. Wacewicz (Eds.), The Evolution of Language: Proceedings of the 15th International Conference (EVOLANG XV) (pp. 197-201). Nijmegen: The Evolution of Language Conferences.
  • Ghaleb, E., Rasenberg, M., Pouw, W., Toni, I., Holler, J., Özyürek, A., & Fernandez, R. (2024). Analysing cross-speaker convergence through the lens of automatically detected shared linguistic constructions. In L. K. Samuelson, S. L. Frank, A. Mackey, & E. Hazeltine (Eds.), Proceedings of the 46th Annual Meeting of the Cognitive Science Society (CogSci 2024) (pp. 1717-1723).

    Abstract

    Conversation requires a substantial amount of coordination between dialogue participants, from managing turn taking to negotiating mutual understanding. Part of this coordination effort surfaces as the reuse of linguistic behaviour across speakers, a process often referred to as alignment. While the presence of linguistic alignment is well documented in the literature, several questions remain open, including the extent to which patterns of reuse across speakers have an impact on the emergence of labelling conventions for novel referents. In this study, we put forward a methodology for automatically detecting shared lemmatised constructions---expressions with a common lexical core used by both speakers within a dialogue---and apply it to a referential communication corpus where participants aim to identify novel objects for which no established labels exist. Our analyses uncover the usage patterns of shared constructions in interaction and reveal that features such as their frequency and the amount of different constructions used for a referent are associated with the degree of object labelling convergence the participants exhibit after social interaction. More generally, the present study shows that automatically detected shared constructions offer a useful level of analysis to investigate the dynamics of reference negotiation in dialogue.

    Additional information

    link to eScholarship
  • Ghaleb, E., Burenko, I., Rasenberg, M., Pouw, W., Uhrig, P., Holler, J., Toni, I., Ozyurek, A., & Fernandez, R. (2024). Cospeech gesture detection through multi-phase sequence labeling. In Proceedings of IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024) (pp. 4007-4015).

    Abstract

    Gestures are integral components of face-to-face communication. They unfold over time, often following predictable movement phases of preparation, stroke, and re-
    traction. Yet, the prevalent approach to automatic gesture detection treats the problem as binary classification, classifying a segment as either containing a gesture or not, thus failing to capture its inherently sequential and contextual nature. To address this, we introduce a novel framework that reframes the task as a multi-phase sequence labeling problem rather than binary classification. Our model processes sequences of skeletal movements over time windows, uses Transformer encoders to learn contextual embeddings, and leverages Conditional Random Fields to perform sequence labeling. We evaluate our proposal on a large dataset of diverse co-speech gestures in task-oriented face-to-face dialogues. The results consistently demonstrate that our method significantly outperforms strong baseline models in detecting gesture strokes. Furthermore, applying Transformer encoders to learn contextual embeddings from movement sequences substantially improves gesture unit detection. These results highlight our framework’s capacity to capture the fine-grained dynamics of co-speech gesture phases, paving the way for more nuanced and accurate gesture detection and analysis.
  • Grosseck, O., Perlman, M., Ortega, G., & Raviv, L. (2024). The iconic affordances of gesture and vocalization in emerging languages in the lab. In J. Nölle, L. Raviv, K. E. Graham, S. Hartmann, Y. Jadoul, M. Josserand, T. Matzinger, K. Mudd, M. Pleyer, A. Slonimska, & S. Wacewicz (Eds.), The Evolution of Language: Proceedings of the 15th International Conference (EVOLANG XV) (pp. 223-225). Nijmegen: The Evolution of Language Conferences.
  • Hintz, F., & Meyer, A. S. (Eds.). (2024). Individual differences in language skills [Special Issue]. Journal of Cognition, 7(1).
  • Joshi, A., Mohanty, R., Kanakanti, M., Mangla, A., Choudhary, S., Barbate, M., & Modi, A. (2024). iSign: A benchmark for Indian Sign Language processing. In L.-W. Ku, A. Martins, & V. Srikumar (Eds.), Findings of the Association for Computational Linguistics ACL 2024 (pp. 10827-10844). Bangkok, Thailand: Association for Computational Linguistics.

    Abstract

    Indian Sign Language has limited resources for developing machine learning and data-driven approaches for automated language processing. Though text/audio-based language processing techniques have shown colossal research interest and tremendous improvements in the last few years, Sign Languages still need to catch up due to the need for more resources. To bridge this gap, in this work, we propose iSign: a benchmark for Indian Sign Language (ISL) Processing. We make three primary contributions to this work. First, we release one of the largest ISL-English datasets with more than video-sentence/phrase pairs. To the best of our knowledge, it is the largest sign language dataset available for ISL. Second, we propose multiple NLP-specific tasks (including SignVideo2Text, SignPose2Text, Text2Pose, Word Prediction, and Sign Semantics) and benchmark them with the baseline models for easier access to the research community. Third, we provide detailed insights into the proposed benchmarks with a few linguistic insights into the working of ISL. We streamline the evaluation of Sign Language processing, addressing the gaps in the NLP research community for Sign Languages. We release the dataset, tasks and models via the following website: https://exploration-lab.github.io/iSign/

    Additional information

    dataset, tasks, models
  • Josserand, M., Pellegrino, F., Grosseck, O., Dediu, D., & Raviv, L. (2024). Adapting to individual differences: An experimental study of variation in language evolution. In J. Nölle, L. Raviv, K. E. Graham, S. Hartmann, Y. Jadoul, M. Josserand, T. Matzinger, K. Mudd, M. Pleyer, A. Slonimska, & S. Wacewicz (Eds.), The Evolution of Language: Proceedings of the 15th International Conference (EVOLANG XV) (pp. 286-289). Nijmegen: The Evolution of Language Conferences.
  • Lammertink, I., De Heer Kloots, M., Bazioni, M., & Raviv, L. (2024). Learnability effects in children: Are more structured languages easier to learn? In J. Nölle, L. Raviv, K. E. Graham, S. Hartmann, Y. Jadoul, M. Josserand, T. Matzinger, K. Mudd, M. Pleyer, A. Slonimska, & S. Wacewicz (Eds.), The Evolution of Language: Proceedings of the 15th International Conference (EVOLANG XV) (pp. 320-323). Nijmegen: The Evolution of Language Conferences.
  • Lee, S.-H.-y., Ünal, E., & Papafragou, A. (2024). Forming event units in language and cognition: A cross-linguistic investigation. In L. K. Samuelson, S. L. Frank, A. Mackey, & E. Hazeltine (Eds.), Proceedings of the 46th Annual Meeting of the Cognitive Science Society (CogSci 2024) (pp. 1885-1892).

    Abstract

    Humans are surrounded by dynamic, continuous streams of stimuli, yet the human mind segments these stimuli and organizes them into discrete event units. Theories of language production assume that segmenting and construing an event provides a starting point for speaking about the event (Levelt, 1989; Konopka & Brown-Schmidt, 2018). However, the precise units of event representation and their mapping to language remain elusive. In this work, we examine event unit formation in linguistic and conceptual event representations. Given cross-linguistic differences in motion event encoding (satellite vs. verb-framed languages), we investigate the extent to which such differences in forming linguistic motion event units affect how speakers of different languages form cognitive event units in non-linguistic tasks. We test English (satellite-framed) and Turkish (verb-framed) speakers on verbal and non-verbal motion event tasks. Our results show that speakers do not rely on the same event unit representations when verbalizing motion vs. identifying motion event units in non-verbal tasks. Therefore, we suggest that conceptual and linguistic event representations are related but distinct levels of event structure.
  • Levinson, S. C. (2024). The dark matter of pragmatics: Known unknowns. Cambridge: Cambridge University Press. doi:10.1017/9781009489584.

    Abstract

    This Element tries to discern the known unknowns in the field
    of pragmatics, the ‘Dark Matter’ of the title. We can identify a key
    bottleneck in human communication, the sheer limitation on the speed
    of speech encoding: pragmatics occupies the niche nestled between
    slow speech encoding and fast comprehension. Pragmatic strategies
    are tricks for evading this tight encoding bottleneck by meaning more
    than you say. Five such tricks are reviewed, which are all domains where
    we have made considerable progress. We can then ask for each of these
    areas, where have we neglected to push the frontier forward? These are
    the known unknowns of pragmatics, key areas, and topics for future
    research. The Element thus offers a brief review of some central areas of
    pragmatics, and a survey of targets for future research.
  • Liesenfeld, A., & Dingemanse, M. (2024). Rethinking open source generative AI: open-washing and the EU AI Act. In The 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’24) (pp. 1774-1784). ACM.

    Abstract

    The past year has seen a steep rise in generative AI systems that claim to be open. But how open are they really? The question of what counts as open source in generative AI is poised to take on particular importance in light of the upcoming EU AI Act that regulates open source systems differently, creating an urgent need for practical openness assessment. Here we use an evidence-based framework that distinguishes 14 dimensions of openness, from training datasets to scientific and technical documentation and from licensing to access methods. Surveying over 45 generative AI systems (both text and text-to-image), we find that while the term open source is widely used, many models are `open weight' at best and many providers seek to evade scientific, legal and regulatory scrutiny by withholding information on training and fine-tuning data. We argue that openness in generative AI is necessarily composite (consisting of multiple elements) and gradient (coming in degrees), and point out the risk of relying on single features like access or licensing to declare models open or not. Evidence-based openness assessment can help foster a generative AI landscape in which models can be effectively regulated, model providers can be held accountable, scientists can scrutinise generative AI, and end users can make informed decisions.
  • Long, M., & Rubio-Fernandez, P. (2024). Beyond typicality: Lexical category affects the use and processing of color words. In L. K. Samuelson, S. L. Frank, M. Toneva, A. Mackey, & E. Hazeltine (Eds.), Proceedings of the 46th Annual Meeting of the Cognitive Science Society (CogSci 2024) (pp. 4925-4930).

    Abstract

    Speakers and listeners show an informativity bias in the use and interpretation of color modifiers. For example, speakers use color more often when referring to objects that vary in color than to objects with a prototypical color. Likewise, listeners look away from objects with prototypical colors upon hearing that color mentioned. Here we test whether speakers and listeners account for another factor related to informativity: the strength of the association between lexical categories and color. Our results demonstrate that speakers and listeners' choices are indeed influenced by this factor; as such, it should be integrated into current pragmatic theories of informativity and computational models of color reference.

    Additional information

    link to eScholarship
  • Lupyan, G., & Raviv, L. (2024). A cautionary note on sociodemographic predictors of linguistic complexity: Different measures and different analyses lead to different conclusions. In J. Nölle, L. Raviv, K. E. Graham, S. Hartmann, Y. Jadoul, M. Josserand, T. Matzinger, K. Mudd, M. Pleyer, A. Slonimska, & S. Wacewicz (Eds.), The Evolution of Language: Proceedings of the 15th International Conference (EVOLANG XV) (pp. 345-348). Nijmegen: The Evolution of Language Conferences.
  • Matteo, M., & Bosker, H. R. (2024). How to test gesture-speech integration in ten minutes. In Y. Chen, A. Chen, & A. Arvaniti (Eds.), Proceedings of Speech Prosody 2024 (pp. 737-741). doi:10.21437/SpeechProsody.2024-149.

    Abstract

    Human conversations are inherently multimodal, including auditory speech, visual articulatory cues, and hand gestures. Recent studies demonstrated that the timing of a simple up-and-down hand movement, known as a beat gesture, can affect speech perception. A beat gesture falling on the first syllable of a disyllabic word induces a bias to perceive a strong-weak stress pattern (i.e., “CONtent”), while a beat gesture falling on the second syllable combined with the same acoustics biases towards a weak-strong stress pattern (“conTENT”). This effect, termed the “manual McGurk effect”, has been studied in both in-lab and online studies, employing standard experimental sessions lasting approximately forty minutes. The present work tests whether the manual McGurk effect can be observed in an online short version (“mini-test”) of the original paradigm, lasting only ten minutes. Additionally, we employ two different response modalities, namely a two-alternative forced choice and a visual analog scale. A significant manual McGurk effect was observed with both response modalities. Overall, the present study demonstrates the feasibility of employing a ten-minute manual McGurk mini-test to obtain a measure of gesture-speech integration. As such, it may lend itself for inclusion in large-scale test batteries that aim to quantify individual variation in language processing.
  • Mishra, C., Nandanwar, A., & Mishra, S. (2024). HRI in Indian education: Challenges opportunities. In H. Admoni, D. Szafir, W. Johal, & A. Sandygulova (Eds.), Designing an introductory HRI course (workshop at HRI 2024). ArXiv. doi:10.48550/arXiv.2403.12223.

    Abstract

    With the recent advancements in the field of robotics and the increased focus on having general-purpose robots widely available to the general public, it has become increasingly necessary to pursue research into Human-robot interaction (HRI). While there have been a lot of works discussing frameworks for teaching HRI in educational institutions with a few institutions already offering courses to students, a consensus on the course content still eludes the field. In this work, we highlight a few challenges and opportunities while designing an HRI course from an Indian perspective. These topics warrant further deliberations as they have a direct impact on the design of HRI courses and wider implications for the entire field.
  • Moser, C., Tarakçı, B., Ünal, E., & Grigoroglou, M. (2024). Multimodal descriotion of Instrument events in English and Turkish. In L. K. Samuelson, S. L. Frank, A. Mackey, & E. Hazeltine (Eds.), Proceedings of the 46th Annual Meeting of the Cognitive Science Society (CogSci 2024) (pp. 341-348).

    Abstract

    Daily experiences are conceptualized as events involving multiple participants and their relations (i.e., thematic roles). When describing events, speakers often do not include all event participants involved. Here, we explore how underlying conceptual requirements and language-specific encoding options influence the content of event descriptions in speech and gesture in two typologically different languages (English,
    Turkish). Focusing on conceptually peripheral instruments whose status is highly debated, we manipulated the conceptual status of event participants by including events that ‘require’ or ‘allow’ otherwise syntactically optional instruments. Results showed that the require-allow distinction did not manifest uniformly in Turkish and English in speech, gesture, or when both modalities were considered. However, mention of highly optional event participants (e.g., allowed instruments) was
    affected by language-specific syntactic encoding options. We conclude that, under more naturalistic elicitation conditions, planning descriptions of instrument events is more heavily affected by language-specific encoding than conceptual prominence of the roles.
  • Motiekaitytė, K., Grosseck, O., Wolf, L., Bosker, H. R., Peeters, D., Perlman, M., Ortega, G., & Raviv, L. (2024). Iconicity and compositionality in emerging vocal communication systems: a Virtual Reality approach. In J. Nölle, L. Raviv, K. E. Graham, S. Hartmann, Y. Jadoul, M. Josserand, T. Matzinger, K. Mudd, M. Pleyer, A. Slonimska, & S. Wacewicz (Eds.), The Evolution of Language: Proceedings of the 15th International Conference (EVOLANG XV) (pp. 387-389). Nijmegen: The Evolution of Language Conferences.
  • Peirolo, M., Meyer, A. S., & Frances, C. (2024). Investigating the causes of prosodic marking in self-repairs: An automatic process? In Y. Chen, A. Chen, & A. Arvaniti (Eds.), Proceedings of Speech Prosody 2024 (pp. 1080-1084). doi:10.21437/SpeechProsody.2024-218.

    Abstract

    Natural speech involves repair. These repairs are often highlighted through prosodic marking (Levelt & Cutler, 1983). Prosodic marking usually entails an increase in pitch, loudness, and/or duration that draws attention to the corrected word. While it is established that natural self-repairs typically elicit prosodic marking, the exact cause of this is unclear. This study investigates whether producing a prosodic marking emerges from an automatic correction process or has a communicative purpose. In the current study, we elicit corrections to test whether all self-corrections elicit prosodic marking. Participants carried out a picture-naming task in which they described two images presented on-screen. To prompt self-correction, the second image was altered in some cases, requiring participants to abandon their initial utterance and correct their description to match the new image. This manipulation was compared to a control condition in which only the orientation of the object would change, eliciting no self-correction while still presenting a visual change. We found that the replacement of the item did not elicit a prosodic marking, regardless of the type of change. Theoretical implications and research directions are discussed, in particular theories of prosodic planning.
  • de Reus, K., Benítez-Burraco, A., Hersh, T. A., Groot, N., Lambert, M. L., Slocombe, K. E., Vernes, S. C., & Raviv, L. (2024). Self-domestication traits in vocal learning mammals. In J. Nölle, L. Raviv, K. E. Graham, S. Hartmann, Y. Jadoul, M. Josserand, T. Matzinger, K. Mudd, M. Pleyer, A. Slonimska, & S. Wacewicz (Eds.), The Evolution of Language: Proceedings of the 15th International Conference (EVOLANG XV) (pp. 105-108). Nijmegen: The Evolution of Language Conferences.
  • Rohrer, P. L., Bujok, R., Van Maastricht, L., & Bosker, H. R. (2024). The timing of beat gestures affects lexical stress perception in Spanish. In Y. Chen, A. Chen, & A. Arvaniti (Eds.), Proceedings Speech Prosody 2024 (pp. 702-706). doi:10.21437/SpeechProsody.2024-142.

    Abstract

    It has been shown that when speakers produce hand gestures, addressees are attentive towards these gestures, using them to facilitate speech processing. Even relatively simple “beat” gestures are taken into account to help process aspects of speech such as prosodic prominence. In fact, recent evidence suggests that the timing of a beat gesture can influence spoken word recognition. Termed the manual McGurk Effect, Dutch participants, when presented with lexical stress minimal pair continua in Dutch, were biased to hear lexical stress on the syllable that coincided with a beat gesture. However, little is known about how this manual McGurk effect would surface in languages other than Dutch, with different acoustic cues to prominence, and variable gestures. Therefore, this study tests the effect in Spanish where lexical stress is arguably even more important, being a contrastive cue in the regular verb conjugation system. Results from 24 participants corroborate the effect in Spanish, namely that when given the same auditory stimulus, participants were biased to perceive lexical stress on the syllable that visually co-occurred with a beat gesture. These findings extend the manual McGurk effect to a different language, emphasizing the impact of gestures' timing on prosody perception and spoken word recognition.
  • Rohrer, P. L., Hong, Y., & Bosker, H. R. (2024). Gestures time to vowel onset and change the acoustics of the word in Mandarin. In Y. Chen, A. Chen, & A. Arvaniti (Eds.), Proceedings of Speech Prosody 2024 (pp. 866-870). doi:10.21437/SpeechProsody.2024-175.

    Abstract

    Recent research on multimodal language production has revealed that prominence in speech and gesture go hand-in-hand. Specifically, peaks in gesture (i.e., the apex) seem to closely coordinate with peaks in fundamental frequency (F0). The nature of this relationship may also be bi-directional, as it has also been shown that the production of gesture directly affects speech acoustics. However, most studies on the topic have largely focused on stress-based languages, where fundamental frequency has a prominence-lending function. Less work has been carried out on lexical tone languages such as Mandarin, where F0 is lexically distinctive. In this study, four native Mandarin speakers were asked to produce single monosyllabic CV words, taken from minimal lexical tone triplets (e.g., /pi1/, /pi2/, /pi3/), either with or without a beat gesture. Our analyses of the timing of the gestures showed that the gesture apex most stably occurred near vowel onset, with consonantal duration being the strongest predictor of apex placement. Acoustic analyses revealed that words produced with gesture showed raised F0 contours, greater intensity, and shorter durations. These findings further our understanding of gesture-speech alignment in typologically diverse languages, and add to the discussion about multimodal prominence.
  • Ronderos, C. R., Zhang, Y., & Rubio-Fernandez, P. (2024). Weighted parameters in demonstrative use: The case of Spanish teens and adults. In L. K. Samuelson, S. L. Frank, M. Toneva, A. Mackey, & E. Hazeltine (Eds.), Proceedings of the 46th Annual Meeting of the Cognitive Science Society (CogSci 2024) (pp. 3279-3286).
  • Rubio-Fernandez, P., Long, M., Shukla, V., Bhatia, V., Mahapatra, A., Ralekar, C., Ben-Ami, S., & Sinha, P. (2024). Multimodal communication in newly sighted children: An investigation of the relation between visual experience and pragmatic development. In L. K. Samuelson, S. L. Frank, M. Toneva, A. Mackey, & E. Hazeltine (Eds.), Proceedings of the 46th Annual Meeting of the Cognitive Science Society (CogSci 2024) (pp. 2560-2567).

    Abstract

    We investigated the relationship between visual experience and pragmatic development by testing the socio-communicative skills of a unique population: the Prakash children of India, who received treatment for congenital cataracts after years of visual deprivation. Using two different referential communication tasks, our study investigated Prakash' children ability to produce sufficiently informative referential expressions (e.g., ‘the green pear' or ‘the small plate') and pay attention to their interlocutor's face during the task (Experiment 1), as well as their ability to recognize a speaker's referential intent through non-verbal cues such as head turning and pointing (Experiment 2). Our results show that Prakash children have strong pragmatic skills, but do not look at their interlocutor's face as often as neurotypical children do. However, longitudinal analyses revealed an increase in face fixations, suggesting that over time, Prakash children come to utilize their improved visual skills for efficient referential communication.

    Additional information

    link to eScholarship
  • Sander, J., Çetinçelik, M., Zhang, Y., Rowland, C. F., & Harmon, Z. (2024). Why does joint attention predict vocabulary acquisition? The answer depends on what coding scheme you use. In L. K. Samuelson, S. L. Frank, M. Toneva, A. Mackey, & E. Hazeltine (Eds.), Proceedings of the 46th Annual Meeting of the Cognitive Science Society (CogSci 2024) (pp. 1607-1613).

    Abstract

    Despite decades of study, we still know less than we would like about the association between joint attention (JA) and language acquisition. This is partly because of disagreements on how to operationalise JA. In this study, we examine the impact of applying two different, influential JA operationalisation schemes to the same dataset of child-caregiver interactions, to determine which yields a better fit to children's later vocabulary size. Two coding schemes— one defining JA in terms of gaze overlap and one in terms of social aspects of shared attention—were applied to video-recordings of dyadic naturalistic toy-play interactions (N=45). We found that JA was predictive of later production vocabulary when operationalised as shared focus (study 1), but also that its operationalisation as shared social awareness increased its predictive power (study 2). Our results emphasise the critical role of methodological choices in understanding how and why JA is associated with vocabulary size.
  • Silverstein, P., Bergmann, C., & Syed, M. (Eds.). (2024). Open science and metascience in developmental psychology [Special Issue]. Infant and Child Development, 33(1).
  • Tarakçı, B., Barış, C., & Ünal, Ü. (2024). Boundednes is represented in visual and auditory event cognition. In L. K. Samuelson, S. L. Frank, A. Mackey, & E. Hazeltine (Eds.), Proceedings of the 46th Annual Meeting of the Cognitive Science Society (CogSci 2024) (pp. 2612-2618).

    Abstract

    Viewers are sensitive to the distinction between visual events with an internal structure leading to a well-defined endpoint (bounded events) and events lacking this structure and a well-defined endpoint (unbounded events). Here, we asked whether boundedness could be represented in the auditory modality in a way similar to the visual modality. To investigate this question, we trained participants with visual and auditory events on bounded or unbounded event categories in a category identification task. Later, we tested whether they could abstract the internal temporal structure of events and extend the (un)boundedness category to new examples in the same modality. These findings suggest that the principles and constraints that apply to the basic units of human experience in the visual modality have their counterparts in the auditory modality.
  • Tınaz, B., & Ünal, E. (2024). Event segmentation in language and cognition. In L. K. Samuelson, S. L. Frank, A. Mackey, & E. Hazeltine (Eds.), Proceedings of the 46th Annual Meeting of the Cognitive Science Society (CogSci 2024) (pp. 184-191).

    Abstract

    We examine the relation between event segmentation in language and cognition in the domain of motion events, focusing on Turkish, a verb-framed language that segments motion paths in separate linguistic units (verb clauses). We compare motion events that have a path change to those that did not have a path change. In the linguistic task, participants were more likely to use multiple verb phrases when describing events that had a path change compared to those that did not have a path change. In the non-linguistic Dwell Time task, participants viewed self-paced slideshows of still images sampled from the motion event videos in the linguistic task. Dwell times for slides corresponding to path changes were not significantly longer than those for temporally similar slides in the events without a path change. These findings suggest that event units in language may not have strong and stable influences on event segmentation in cognition.
  • Uluşahin, O., Bosker, H. R., McQueen, J. M., & Meyer, A. S. (2024). Knowledge of a talker’s f0 affects subsequent perception of voiceless fricatives. In Y. Chen, A. Chen, & A. Arvaniti (Eds.), Proceedings of Speech Prosody 2024 (pp. 432-436).

    Abstract

    The human brain deals with the infinite variability of speech through multiple mechanisms. Some of them rely solely on information in the speech input (i.e., signal-driven) whereas some rely on linguistic or real-world knowledge (i.e., knowledge-driven). Many signal-driven perceptual processes rely on the enhancement of acoustic differences between incoming speech sounds, producing contrastive adjustments. For instance, when an ambiguous voiceless fricative is preceded by a high fundamental frequency (f0) sentence, the fricative is perceived as having lower a spectral center of gravity (CoG). However, it is not clear whether knowledge of a talker’s typical f0 can lead to similar contrastive effects. This study investigated a possible talker f0 effect on fricative CoG perception. In the exposure phase, two groups of participants (N=16 each) heard the same talker at high or low f0 for 20 minutes. Later, in the test phase, participants rated fixed-f0 /?ɔk/ tokens as being /sɔk/ (i.e., high CoG) or /ʃɔk/ (i.e., low CoG), where /?/ represents a fricative from a 5-step /s/-/ʃ/ continuum. Surprisingly, the data revealed the opposite of our contrastive hypothesis, whereby hearing high f0 instead biased perception towards high CoG. Thus, we demonstrated that talker f0 information affects fricative CoG perception.
  • van der Burght, C. L., & Meyer, A. S. (2024). Interindividual variation in weighting prosodic and semantic cues during sentence comprehension – a partial replication of Van der Burght et al. (2021). In Y. Chen, A. Chen, & A. Arvaniti (Eds.), Proceedings of Speech Prosody 2024 (pp. 792-796). doi:10.21437/SpeechProsody.2024-160.

    Abstract

    Contrastive pitch accents can mark sentence elements occupying parallel roles. In “Mary kissed John, not Peter”, a pitch accent on Mary or John cues the implied syntactic role of Peter. Van der Burght, Friederici, Goucha, and Hartwigsen (2021) showed that listeners can build expectations concerning syntactic and semantic properties of upcoming words, derived from pitch accent information they heard previously. To further explore these expectations, we attempted a partial replication of the original German study in Dutch. In the experimental sentences “Yesterday, the police officer arrested the thief, not the inspector/murderer”, a pitch accent on subject or object cued the subject/object role of the ellipsis clause. Contrasting elements were additionally cued by the thematic role typicality of the nouns. Participants listened to sentences in which the ellipsis clause was omitted and selected the most plausible sentence-final noun (presented visually) via button press. Replicating the original study results, listeners based their sentence-final preference on the pitch accent information available in the sentence. However, as in the original study, individual differences between listeners were found, with some following prosodic information and others relying on a structural bias. The results complement the literature on ellipsis resolution and on interindividual variability in cue weighting.
  • Yang, J., Zhang, Y., & Yu, C. (2024). Learning semantic knowledge based on infant real-time. In L. K. Samuelson, S. L. Frank, M. Toneva, A. Mackey, & E. Hazeltine (Eds.), Proceedings of the 46th Annual Meeting of the Cognitive Science Society (CogSci 2024) (pp. 741-747).

    Abstract

    Early word learning involves mapping individual words to their meanings and building organized semantic representations among words. Previous corpus-based studies (e.g., using text from websites, newspapers, child-directed speech corpora) demonstrated that linguistic information such as word co-occurrence alone is sufficient to build semantically organized word knowledge. The present study explored two new research directions to advance understanding of how infants acquire semantically organized word knowledge. First, infants in the real world hear words surrounded by contextual information. Going beyond inferring semantic knowledge merely from language input, we examined the role of extra-linguistic contextual information in learning semantic knowledge. Second, previous research relies on large amounts of linguistic data to demonstrate in-principle learning, which is unrealistic compared with the input children receive. Here, we showed that incorporating extra-linguistic information provides an efficient mechanism through which semantic knowledge can be acquired with a small amount of data infants perceive in everyday learning contexts, such as toy play.

    Additional information

    link to eScholarship
  • Zhou, Y., van der Burght, C. L., & Meyer, A. S. (2024). Investigating the role of semantics and perceptual salience in the memory benefit of prosodic prominence. In Y. Chen, A. Chen, & A. Arvaniti (Eds.), Proceedings of Speech Prosody 2024 (pp. 1250-1254). doi:10.21437/SpeechProsody.2024-252.

    Abstract

    Prosodic prominence can enhance memory for the prominent words. This mnemonic benefit has been linked to listeners’ allocation of attention and deeper processing, which leads to more robust semantic representations. We investigated whether, in addition to the well-established effect at the semantic level, there was a memory benefit for prominent words at the phonological level. To do so, participants (48 native speakers of Dutch), first performed an accent judgement task, where they had to discriminate accented from unaccented words, and accented from unaccented pseudowords. All stimuli were presented in lists. They then performed an old/new recognition task for the stimuli. Accuracy in the accent judgement task was equally high for words and pseudowords. In the recognition task, performance was, as expected, better for words than pseudowords. More importantly, there was an interaction of accent with word type, with a significant advantage for accented compared to unaccented words, but not for pseudowords. The results confirm the memory benefit for accented compared to unaccented words seen in earlier studies, and they are consistent with the view that prominence primarily affects the semantic encoding of words. There was no evidence for an additional memory benefit arising at the phonological level.
  • Zora, H., Bowin, H., Heldner, M., Riad, T., & Hagoort, P. (2024). The role of pitch accent in discourse comprehension and the markedness of Accent 2 in Central Swedish. In Y. Chen, A. Chen, & A. Arvaniti (Eds.), Proceedings of Speech Prosody 2024 (pp. 921-925). doi:10.21437/SpeechProsody.2024-186.

    Abstract

    In Swedish, words are associated with either of two pitch contours known as Accent 1 and Accent 2. Using a psychometric test, we investigated how listeners judge pitch accent violations while interpreting discourse. Forty native speakers of Central Swedish were presented with auditory dialogues, where test words were appropriately or inappropriately accented in a given context, and asked to judge the correctness of sentences containing the test words. Data indicated a statistically significant effect of wrong accent pattern on the correctness judgment. Both Accent 1 and Accent 2 violations interfered with the coherent interpretation of discourse and were judged as incorrect by the listeners. Moreover, there was a statistically significant difference in the perceived correctness between the accent patterns. Accent 2 violations led to a lower correctness score compared to Accent 1 violations, indicating that the listeners were more sensitive to pitch accent violations in Accent 2 words than in Accent 1 words. This result is in line with the notion that Accent 2 is marked and lexically represented in Central Swedish. Taken together, these findings indicate that listeners use both Accent 1 and Accent 2 to arrive at the correct interpretation of the linguistic input, while assigning varying degrees of relevance to them depending on their markedness.
  • Agirrezabal, M., Paggio, P., Navarretta, C., & Jongejan, B. (2023). Multimodal detection and classification of head movements in face-to-face conversations: Exploring models, features and their interaction. In W. Pouw, J. Trujillo, H. R. Bosker, L. Drijvers, M. Hoetjes, J. Holler, S. Kadava, L. Van Maastricht, E. Mamus, & A. Ozyurek (Eds.), Gesture and Speech in Interaction (GeSpIn) Conference. doi:10.17617/2.3527200.

    Abstract

    In this work we perform multimodal detection and classification
    of head movements from face to face video conversation data.
    We have experimented with different models and feature sets
    and provided some insight on the effect of independent features,
    but also how their interaction can enhance a head movement
    classifier. Used features include nose, neck and mid hip position
    coordinates and their derivatives together with acoustic features,
    namely, intensity and pitch of the speaker on focus. Results
    show that when input features are sufficiently processed by in-
    teracting with each other, a linear classifier can reach a similar
    performance to a more complex non-linear neural model with
    several hidden layers. Our best models achieve state-of-the-art
    performance in the detection task, measured by macro-averaged
    F1 score.
  • Cabrelli, J., Chaouch-Orozco, A., González Alonso, J., Pereira Soares, S. M., Puig-Mayenco, E., & Rothman, J. (Eds.). (2023). The Cambridge handbook of third language acquisition. Cambridge: Cambridge University Press. doi:10.1017/9781108957823.
  • Caplan, S., Peng, M. Z., Zhang, Y., & Yu, C. (2023). Using an Egocentric Human Simulation Paradigm to quantify referential and semantic ambiguity in early word learning. In M. Goldwater, F. K. Anggoro, B. K. Hayes, & D. C. Ong (Eds.), Proceedings of the 45th Annual Meeting of the Cognitive Science Society (CogSci 2023) (pp. 1043-1049).

    Abstract

    In order to understand early word learning we need to better understand and quantify properties of the input that young children receive. We extended the human simulation paradigm (HSP) using egocentric videos taken from infant head-mounted cameras. The videos were further annotated with gaze information indicating in-the-moment visual attention from the infant. Our new HSP prompted participants for two types of responses, thus differentiating referential from semantic ambiguity in the learning input. Consistent with findings on visual attention in word learning, we find a strongly bimodal distribution over HSP accuracy. Even in this open-ended task, most videos only lead to a small handful of common responses. What's more, referential ambiguity was the key bottleneck to performance: participants can nearly always recover the exact word that was said if they identify the correct referent. Finally, analysis shows that adult learners relied on particular, multimodal behavioral cues to infer those target referents.
  • Chevrefils, L., Morgenstern, A., Beaupoil-Hourdel, P., Bedoin, D., Caët, S., Danet, C., Danino, C., De Pontonx, S., & Parisse, C. (2023). Coordinating eating and languaging: The choreography of speech, sign, gesture and action in family dinners. In W. Pouw, J. Trujillo, H. R. Bosker, L. Drijvers, M. Hoetjes, J. Holler, S. Kadava, L. Van Maastricht, E. Mamus, & A. Ozyurek (Eds.), Gesture and Speech in Interaction (GeSpIn) Conference. doi:10.17617/2.3527183.

    Abstract

    In this study, we analyze one French signing and one French speaking family’s interaction during dinner. The families composed of two parents and two children aged 3 to 11 were filmed with three cameras to capture all family members’ behaviors. The three videos per dinner were synchronized and coded on ELAN. We annotated all participants’ acting, and languaging.
    Our quantitative analyses show how family members collaboratively manage multiple streams of activity through the embodied performances of dining and interacting. We uncover different profiles according to participants’ modality of expression and status (focusing on the mother and the younger child). The hearing participants’ co-activity management illustrates their monitoring of dining and conversing and how they progressively master the affordances of the visual and vocal channels to maintain the simultaneity of the two activities. The deaf mother skillfully manages to alternate smoothly between dining and interacting. The deaf younger child manifests how she is in the process of developing her skills to manage multi-activity. Our qualitative analyses focus on the ecology of visual-gestural and audio-vocal languaging in the context of co-activity according to language and participant. We open new perspectives on the management of gaze and body parts in multimodal languaging.
  • Dong, T., & Toneva, M. (2023). Modeling brain responses to video stimuli using multimodal video transformers. In Proceedings of the Conference on Cognitive Computational Neuroscience (CCN 2023) (pp. 194-197).

    Abstract

    Prior work has shown that internal representations of artificial neural networks can significantly predict brain responses elicited by unimodal stimuli (i.e. reading a book chapter or viewing static images). However, the computational modeling of brain representations of naturalistic video stimuli, such as movies or TV shows, still remains underexplored. In this work, we present a promising approach for modeling vision-language brain representations of video stimuli by a transformer-based model that represents videos jointly through audio, text, and vision. We show that the joint representations of vision and text information are better aligned with brain representations of subjects watching a popular TV show. We further show that the incorporation of visual information improves brain alignment across several regions that support language processing.
  • Ferré, G. (2023). Pragmatic gestures and prosody. In W. Pouw, J. Trujillo, H. R. Bosker, L. Drijvers, M. Hoetjes, J. Holler, S. Kadava, L. Van Maastricht, E. Mamus, & A. Ozyurek (Eds.), Gesture and Speech in Interaction (GeSpIn) Conference. doi:10.17617/2.3527215.

    Abstract

    The study presented here focuses on two pragmatic gestures:
    the hand flip (Ferré, 2011), a gesture of the Palm Up Open
    Hand/PUOH family (Müller, 2004) and the closed hand which
    can be considered as the opposite kind of movement to the open-
    ing of the hands present in the PUOH gesture. Whereas one of
    the functions of the hand flip has been described as presenting
    a new point in speech (Cienki, 2021), the closed hand gesture
    has not yet been described in the literature to the best of our
    knowledge. It can however be conceived of as having the oppo-
    site function of announcing the end of a point in discourse. The
    object of the present study is therefore to determine, with the
    study of prosodic features, if the two gestures are found in the
    same type of speech units and what their respective scope is.
    Drawing from a corpus of three TED Talks in French the
    prosodic characteristics of the speech that accompanies the two
    gestures will be examined. The hypothesis developed in the
    present paper is that their scope should be reflected in the
    prosody of accompanying speech, especially pitch key, tone,
    and relative pitch range. The prediction is that hand flips and
    closing hand gestures are expected to be located at the periph-
    ery of Intonation Phrases (IPs), Inter-Pausal Units (IPUs) or
    more conversational Turn Constructional Units (TCUs), and are
    likely to be co-occurrent with pauses in speech. But because of
    the natural slope of intonation in speech, the speech that accom-
    pany early gestures in Intonation Phrases should reveal different
    features from the speech at the end of intonational units. Tones
    should be different as well, considering the prosodic structure
    of spoken French.
  • Gamba, M., Raimondi, T., De Gregorio, C., Valente, D., Carugati, F., Cristiano, W., Ferrario, V., Torti, V., Favaro, L., Friard, O., Giacoma, C., & Ravignani, A. (2023). Rhythmic categories across primate vocal displays. In A. Astolfi, F. Asdrubali, & L. Shtrepi (Eds.), Proceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023 (pp. 3971-3974). Torino: European Acoustics Association.

    Abstract

    The last few years have revealed that several species may share the building blocks of Musicality with humans. The recognition of these building blocks (e.g., rhythm, frequency variation) was a necessary impetus for a new round of studies investigating rhythmic variation in animal vocal displays. Singing primates are a small group of primate species that produce modulated songs ranging from tens to thousands of vocal units. Previous studies showed that the indri, the only singing lemur, is currently the only known species that perform duet and choruses showing multiple rhythmic categories, as seen in human music. Rhythmic categories occur when temporal intervals between note onsets are not uniformly distributed, and rhythms with a small integer ratio between these intervals are typical of human music. Besides indris, white-handed gibbons and three crested gibbon species showed a prominent rhythmic category corresponding to a single small integer ratio, isochrony. This study reviews previous evidence on the co-occurrence of rhythmic categories in primates and focuses on the prospects for a comparative, multimodal study of rhythmicity in this clade.
  • Green, K., Osei-Cobbina, C., Perlman, M., & Kita, S. (2023). Infants can create different types of iconic gestures, with and without parental scaffolding. In W. Pouw, J. Trujillo, H. R. Bosker, L. Drijvers, M. Hoetjes, J. Holler, S. Kadava, L. Van Maastricht, E. Mamus, & A. Ozyurek (Eds.), Gesture and Speech in Interaction (GeSpIn) Conference. doi:10.17617/2.3527188.

    Abstract

    Despite the early emergence of pointing, children are generally not documented to produce iconic gestures until later in development. Although research has described this developmental trajectory and the types of iconic gestures that emerge first, there has been limited focus on iconic gestures within interactional contexts. This study identified the first 10 iconic gestures produced by five monolingual English-speaking children in a naturalistic longitudinal video corpus and analysed the interactional contexts. We found children produced their first iconic gesture between 12 and 20 months and that gestural types varied. Although 34% of gestures could have been imitated or derived from adult or child actions in the preceding context, the majority were produced independently of any observed model. In these cases, adults often led the interaction in a direction where iconic gesture was an appropriate response. Overall, we find infants can represent a referent symbolically and possess a greater capacity for innovation than previously assumed. In order to develop our understanding of how children learn to produce iconic gestures, it is important to consider the immediate interactional context. Conducting naturalistic corpus analyses could be a more ecologically valid approach to understanding how children learn to produce iconic gestures in real life contexts.
  • Hagoort, P. (2023). Zij zijn ons brein en andere beschouwingen. Nijmegen: Max Planck Instituut voor Psycholinguistiek.
  • Hamilton, A., & Holler, J. (Eds.). (2023). Face2face: Advancing the science of social interaction [Special Issue]. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences. Retrieved from https://royalsocietypublishing.org/toc/rstb/2023/378/1875.

    Abstract

    Face to face interaction is fundamental to human sociality but is very complex to study in a scientific fashion. This theme issue brings together cutting-edge approaches to the study of face-to-face interaction and showcases how we can make progress in this area. Researchers are now studying interaction in adult conversation, parent-child relationships, neurodiverse groups, interactions with virtual agents and various animal species. The theme issue reveals how new paradigms are leading to more ecologically grounded and comprehensive insights into what social interaction is. Scientific advances in this area can lead to improvements in education and therapy, better understanding of neurodiversity and more engaging artificial agents
  • Hellwig, B., Allen, S. E. M., Davidson, L., Defina, R., Kelly, B. F., & Kidd, E. (Eds.). (2023). The acquisition sketch project [Special Issue]. Language Documentation and Conservation Special Publication, 28.

    Abstract

    This special publication aims to build a renewed enthusiasm for collecting acquisition data across many languages, including those facing endangerment and loss. It presents a guide for documenting and describing child language and child-directed language in diverse languages and cultures, as well as a collection of acquisition sketches based on this guide. The guide is intended for anyone interested in working across child language and language documentation, including, for example, field linguists and language documenters, community language workers, child language researchers or graduate students.
  • Jadoul, Y., Düngen, D., & Ravignani, A. (2023). Live-tracking acoustic parameters in animal behavioural experiments: Interactive bioacoustics with parselmouth. In A. Astolfi, F. Asdrubali, & L. Shtrepi (Eds.), Proceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023 (pp. 4675-4678). Torino: European Acoustics Association.

    Abstract

    Most bioacoustics software is used to analyse the already collected acoustics data in batch, i.e., after the data-collecting phase of a scientific study. However, experiments based on animal training require immediate and precise reactions from the experimenter, and thus do not easily dovetail with a typical bioacoustics workflow. Bridging this methodological gap, we have developed a custom application to live-monitor the vocal development of harbour seals in a behavioural experiment. In each trial, the application records and automatically detects an animal's call, and immediately measures duration and acoustic measures such as intensity, fundamental frequency, or formant frequencies. It then displays a spectrogram of the recording and the acoustic measurements, allowing the experimenter to instantly evaluate whether or not to reinforce the animal's vocalisation. From a technical perspective, the rapid and easy development of this custom software was made possible by combining multiple open-source software projects. Here, we integrated the acoustic analyses from Parselmouth, a Python library for Praat, together with PyAudio and Matplotlib's recording and plotting functionality, into a custom graphical user interface created with PyQt. This flexible recombination of different open-source Python libraries allows the whole program to be written in a mere couple of hundred lines of code
  • Jordanoska, I., Kocher, A., & Bendezú-Araujo, R. (Eds.). (2023). Marking the truth: A cross-linguistic approach to verum [Special Issue]. Zeitschrift für Sprachwissenschaft, 42(3). Retrieved from https://www.degruyter.com/journal/key/zfsw/42/3/html.
  • Kanakanti, M., Singh, S., & Shrivastava, M. (2023). MultiFacet: A multi-tasking framework for speech-to-sign language generation. In E. André, M. Chetouani, D. Vaufreydaz, G. Lucas, T. Schultz, L.-P. Morency, & A. Vinciarelli (Eds.), ICMI '23 Companion: Companion Publication of the 25th International Conference on Multimodal Interaction (pp. 205-213). New York: ACM. doi:10.1145/3610661.3616550.

    Abstract

    Sign language is a rich form of communication, uniquely conveying meaning through a combination of gestures, facial expressions, and body movements. Existing research in sign language generation has predominantly focused on text-to-sign pose generation, while speech-to-sign pose generation remains relatively underexplored. Speech-to-sign language generation models can facilitate effective communication between the deaf and hearing communities. In this paper, we propose an architecture that utilises prosodic information from speech audio and semantic context from text to generate sign pose sequences. In our approach, we adopt a multi-tasking strategy that involves an additional task of predicting Facial Action Units (FAUs). FAUs capture the intricate facial muscle movements that play a crucial role in conveying specific facial expressions during sign language generation. We train our models on an existing Indian Sign language dataset that contains sign language videos with audio and text translations. To evaluate our models, we report Dynamic Time Warping (DTW) and Probability of Correct Keypoints (PCK) scores. We find that combining prosody and text as input, along with incorporating facial action unit prediction as an additional task, outperforms previous models in both DTW and PCK scores. We also discuss the challenges and limitations of speech-to-sign pose generation models to encourage future research in this domain. We release our models, results and code to foster reproducibility and encourage future research1.
  • Laparle, S. (2023). Moving past the lexical affiliate with a frame-based analysis of gesture meaning. In W. Pouw, J. Trujillo, H. R. Bosker, L. Drijvers, M. Hoetjes, J. Holler, S. Kadava, L. Van Maastricht, E. Mamus, & A. Ozyurek (Eds.), Gesture and Speech in Interaction (GeSpIn) Conference. doi:10.17617/2.3527218.

    Abstract

    Interpreting the meaning of co-speech gesture often involves
    identifying a gesture’s ‘lexical affiliate’, the word or phrase to
    which it most closely relates (Schegloff 1984). Though there is
    work within gesture studies that resists this simplex mapping of
    meaning from speech to gesture (e.g. de Ruiter 2000; Kendon
    2014; Parrill 2008), including an evolving body of literature on
    recurrent gesture and gesture families (e.g. Fricke et al. 2014; Müller 2017), it is still the lexical affiliate model that is most ap-
    parent in formal linguistic models of multimodal meaning(e.g.
    Alahverdzhieva et al. 2017; Lascarides and Stone 2009; Puste-
    jovsky and Krishnaswamy 2021; Schlenker 2020). In this work,
    I argue that the lexical affiliate should be carefully reconsidered
    in the further development of such models.
    In place of the lexical affiliate, I suggest a further shift
    toward a frame-based, action schematic approach to gestural
    meaning in line with that proposed in, for example, Parrill and
    Sweetser (2004) and Müller (2017). To demonstrate the utility
    of this approach I present three types of compositional gesture
    sequences which I call spatial contrast, spatial embedding, and
    cooperative abstract deixis. All three rely on gestural context,
    rather than gesture-speech alignment, to convey interactive (i.e.
    pragmatic) meaning. The centrality of gestural context to ges-
    ture meaning in these examples demonstrates the necessity of
    developing a model of gestural meaning independent of its in-
    tegration with speech.
  • Levshina, N. (2023). Communicative efficiency: Language structure and use. Cambridge: Cambridge University Press.

    Abstract

    All living beings try to save effort, and humans are no exception. This groundbreaking book shows how we save time and energy during communication by unconsciously making efficient choices in grammar, lexicon and phonology. It presents a new theory of 'communicative efficiency', the idea that language is designed to be as efficient as possible, as a system of communication. The new framework accounts for the diverse manifestations of communicative efficiency across a typologically broad range of languages, using various corpus-based and statistical approaches to explain speakers' bias towards efficiency. The author's unique interdisciplinary expertise allows her to provide rich evidence from a broad range of language sciences. She integrates diverse insights from over a hundred years of research into this comprehensible new theory, which she presents step-by-step in clear and accessible language. It is essential reading for language scientists, cognitive scientists and anyone interested in language use and communication.
  • Levshina, N. (2023). Testing communicative and learning biases in a causal model of language evolution:A study of cues to Subject and Object. In M. Degano, T. Roberts, G. Sbardolini, & M. Schouwstra (Eds.), The Proceedings of the 23rd Amsterdam Colloquium (pp. 383-387). Amsterdam: University of Amsterdam.
  • Liesenfeld, A., Lopez, A., & Dingemanse, M. (2023). Opening up ChatGPT: Tracking Openness, Transparency, and Accountability in Instruction-Tuned Text Generators. In CUI '23: Proceedings of the 5th International Conference on Conversational User Interfaces. doi:10.1145/3571884.3604316.

    Abstract

    Large language models that exhibit instruction-following behaviour represent one of the biggest recent upheavals in conversational interfaces, a trend in large part fuelled by the release of OpenAI's ChatGPT, a proprietary large language model for text generation fine-tuned through reinforcement learning from human feedback (LLM+RLHF). We review the risks of relying on proprietary software and survey the first crop of open-source projects of comparable architecture and functionality. The main contribution of this paper is to show that openness is differentiated, and to offer scientific documentation of degrees of openness in this fast-moving field. We evaluate projects in terms of openness of code, training data, model weights, RLHF data, licensing, scientific documentation, and access methods. We find that while there is a fast-growing list of projects billing themselves as 'open source', many inherit undocumented data of dubious legality, few share the all-important instruction-tuning (a key site where human labour is involved), and careful scientific documentation is exceedingly rare. Degrees of openness are relevant to fairness and accountability at all points, from data collection and curation to model architecture, and from training and fine-tuning to release and deployment.
  • Liesenfeld, A., Lopez, A., & Dingemanse, M. (2023). The timing bottleneck: Why timing and overlap are mission-critical for conversational user interfaces, speech recognition and dialogue systems. In Proceedings of the 24rd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDial 2023). doi:10.18653/v1/2023.sigdial-1.45.

    Abstract

    Speech recognition systems are a key intermediary in voice-driven human-computer interaction. Although speech recognition works well for pristine monologic audio, real-life use cases in open-ended interactive settings still present many challenges. We argue that timing is mission-critical for dialogue systems, and evaluate 5 major commercial ASR systems for their conversational and multilingual support. We find that word error rates for natural conversational data in 6 languages remain abysmal, and that overlap remains a key challenge (study 1). This impacts especially the recognition of conversational words (study 2), and in turn has dire consequences for downstream intent recognition (study 3). Our findings help to evaluate the current state of conversational ASR, contribute towards multidimensional error analysis and evaluation, and identify phenomena that need most attention on the way to build robust interactive speech technologies.
  • Nabrotzky, J., Ambrazaitis, G., Zellers, M., & House, D. (2023). Temporal alignment of manual gestures’ phase transitions with lexical and post-lexical accentual F0 peaks in spontaneous Swedish interaction. In W. Pouw, J. Trujillo, H. R. Bosker, L. Drijvers, M. Hoetjes, J. Holler, S. Kadava, L. Van Maastricht, E. Mamus, & A. Ozyurek (Eds.), Gesture and Speech in Interaction (GeSpIn) Conference. doi:10.17617/2.3527194.

    Abstract

    Many studies investigating the temporal alignment of co-speech
    gestures to acoustic units in the speech signal find a close
    coupling of the gestural landmarks and pitch accents or the
    stressed syllable of pitch-accented words. In English, a pitch
    accent is anchored in the lexically stressed syllable. Hence, it is
    unclear whether it is the lexical phonological dimension of
    stress, or the phrase-level prominence that determines the
    details of speech-gesture synchronization. This paper explores
    the relation between gestural phase transitions and accentual F0
    peaks in Stockholm Swedish, which exhibits a lexical pitch
    accent distinction. When produced with phrase-level
    prominence, there are three different configurations of
    lexicality of F0 peaks and the status of the syllable it is aligned
    with. Through analyzing the alignment of the different F0 peaks
    with gestural onsets in spontaneous dyadic conversations, we
    aim to contribute to our understanding of the role of lexical
    prosodic phonology in the co-production of speech and gesture.
    The results, though limited by a small dataset, still suggest
    differences between the three types of peaks concerning which
    types of gesture phase onsets they tend to align with, and how
    well these landmarks align with each other, although these
    differences did not reach significance.
  • Offrede, T., Mishra, C., Skantze, G., Fuchs, S., & Mooshammer, C. (2023). Do Humans Converge Phonetically When Talking to a Robot? In R. Skarnitzl, & J. Volin (Eds.), Proceedings of the 20th International Congress of Phonetic Sciences (pp. 3507-3511). Prague: GUARANT International.

    Abstract

    Phonetic convergence—i.e., adapting one’s speech
    towards that of an interlocutor—has been shown
    to occur in human-human conversations as well as
    human-machine interactions. Here, we investigate
    the hypothesis that human-to-robot convergence is
    influenced by the human’s perception of the robot
    and by the conversation’s topic. We conducted a
    within-subjects experiment in which 33 participants
    interacted with two robots differing in their eye gaze
    behavior—one looked constantly at the participant;
    the other produced gaze aversions, similarly to a
    human’s behavior. Additionally, the robot asked
    questions with increasing intimacy levels.
    We observed that the speakers tended to converge
    on F0 to the robots. However, this convergence
    to the robots was not modulated by how the
    speakers perceived them or by the topic’s intimacy.
    Interestingly, speakers produced lower F0 means
    when talking about more intimate topics. We
    discuss these findings in terms of current theories of
    conversational convergence.
  • Sander, J., Lieberman, A., & Rowland, C. F. (2023). Exploring joint attention in American Sign Language: The influence of sign familiarity. In M. Goldwater, F. K. Anggoro, B. K. Hayes, & D. C. Ong (Eds.), Proceedings of the 45th Annual Meeting of the Cognitive Science Society (CogSci 2023) (pp. 632-638).

    Abstract

    Children’s ability to share attention with another social partner (i.e., joint attention) has been found to support language development. Despite the large amount of research examining the effects of joint attention on language in hearing population, little is known about how deaf children learning sign languages achieve joint attention with their caregivers during natural social interaction and how caregivers provide and scaffold learning opportunities for their children. The present study investigates the properties and timing of joint attention surrounding familiar and novel naming events and their relationship to children’s vocabulary. Naturalistic play sessions of caretaker-child-dyads using American Sign Language were analyzed in regards to naming events of either familiar or novel object labeling events and the surrounding joint attention events. We observed that most naming events took place in the context of a successful joint attention event and that sign familiarity was related to the timing of naming events within the joint attention events. Our results suggest that caregivers are highly sensitive to their child’s visual attention in interactions and modulate joint attention differently in the context of naming events of familiar vs. novel object labels.
  • Sekine, K., & Kajikawa, T. (2023). Does the spatial distribution of a speaker's gaze and gesture impact on a listener's comprehension of discourse? In W. Pouw, J. Trujillo, H. R. Bosker, L. Drijvers, M. Hoetjes, J. Holler, S. Kadava, L. Van Maastricht, E. Mamus, & A. Ozyurek (Eds.), Gesture and Speech in Interaction (GeSpIn) Conference. doi:10.17617/2.3527208.

    Abstract

    This study investigated the impact of a speaker's gaze direction
    on a listener's comprehension of discourse. Previous research
    suggests that hand gestures play a role in referent allocation,
    enabling listeners to better understand the discourse. The
    current study aims to determine whether the speaker's gaze
    direction has a similar effect on reference resolution as co-
    speech gestures. Thirty native Japanese speakers participated in
    the study and were assigned to one of three conditions:
    congruent, incongruent, or speech-only. Participants watched
    36 videos of an actor narrating a story consisting of three
    sentences with two protagonists. The speaker consistently
    used hand gestures to allocate one protagonist to the lower right
    and the other to the lower left space, while directing her gaze to
    either space of the target person (congruent), the other person
    (incongruent), or no particular space (speech-only). Participants
    were required to verbally answer a question about the target
    protagonist involved in an accidental event as quickly as
    possible. Results indicate that participants in the congruent
    condition exhibited faster reaction times than those in the
    incongruent condition, although the difference was not
    significant. These findings suggest that the speaker's gaze
    direction is not enough to facilitate a listener's comprehension
    of discourse.
  • Seuren, P. A. M. (2023). A refutation of positivism in philosophy of mind: Thinking, reality, and language. London: Routledge.

    Abstract

    This book argues that positivism, though now the dominant paradigm for both the natural and the human sciences, is intrinsically unfit for the latter. In particular, it is unfit for linguistics and cognitive science, where it is ultimately self-destructive, since it fails to account for causality, while the mind, the primary object of research of the human sciences, cannot be understood unless considered to be an autonomous causal force. 

    Author Pieter Albertus Maria Seuren, who died shortly after this manuscript was finished and after a remarkable career, reviews the history of this issue since the seventeenth century. He focuses on Descartes, Leibniz, British Empiricism and Kant, arguing that neither cognition nor language can be adequately accounted for unless the mind is given its full due. This implies that a distinction must be made—following Alexius Meinong, but against Russell and Quine—between actual and virtual reality. The latter is a product of the causally active mind and a necessary ingredient for the setting up of mental models, without which neither cognition nor language can function. Mental models are coherent sets of propositions, and can be wholly or partially true or false. Positivism rules out mental models, blocking any serious semantics and thereby reducing both language and cognition to caricatures of themselves. Seuren presents a causal theory of meaning, linking up language with cognition and solving the old question of what meaning actually amounts to.
  • Severijnen, G. G. A., Bosker, H. R., & McQueen, J. M. (2023). Syllable rate drives rate normalization, but is not the only factor. In R. Skarnitzl, & J. Volín (Eds.), Proceedings of the 20th International Congress of the Phonetic Sciences (ICPhS 2023) (pp. 56-60). Prague: Guarant International.

    Abstract

    Speech is perceived relative to the speech rate in the context. It is unclear, however, what information listeners use to compute speech rate. The present study examines whether listeners use the number of
    syllables per unit time (i.e., syllable rate) as a measure of speech rate, as indexed by subsequent vowel perception. We ran two rate-normalization experiments in which participants heard duration-matched word lists that contained either monosyllabic
    vs. bisyllabic words (Experiment 1), or monosyllabic vs. trisyllabic pseudowords (Experiment 2). The participants’ task was to categorize an /ɑ-aː/ continuum that followed the word lists. The monosyllabic condition was perceived as slower (i.e., fewer /aː/ responses) than the bisyllabic and
    trisyllabic condition. However, no difference was observed between bisyllabic and trisyllabic contexts. Therefore, while syllable rate is used in perceiving speech rate, other factors, such as fast speech processes, mean F0, and intensity, must also influence rate normalization.
  • Siahaan, P., & Wijaya Rajeg, G. P. (2023). Multimodal language use in Indonesian: Recurrent gestures associated with negation. In W. Pouw, J. Trujillo, H. R. Bosker, L. Drijvers, M. Hoetjes, J. Holler, S. Kadava, L. Van Maastricht, E. Mamus, & A. Ozyurek (Eds.), Gesture and Speech in Interaction (GeSpIn) Conference. doi:10.17617/2.3527196.

    Abstract

    This paper presents research findings on manual gestures
    associated with negation in Indonesian, utilizing data sourced
    from talk shows available on YouTube. The study reveals that
    Indonesian speakers employ six recurrent negation gestures,
    which have been observed in various languages worldwide.
    This suggests that gestures exhibiting a stable form-meaning
    relationship and recurring frequently in relation to negation are
    prevalent around the globe, although their distribution may
    differ across cultures and languages. Furthermore, the paper
    demonstrates that negation gestures are not strictly tied to
    verbal negation. Overall, the aim of this paper is to contribute
    to a deeper understanding of the conventional usage and cross-
    linguistic distribution of recurrent gestures.
  • Stern, G. (2023). On embodied use of recognitional demonstratives. In W. Pouw, J. Trujillo, H. R. Bosker, L. Drijvers, M. Hoetjes, J. Holler, S. Kadava, L. Van Maastricht, E. Mamus, & A. Ozyurek (Eds.), Gesture and Speech in Interaction (GeSpIn) Conference. doi:10.17617/2.3527204.

    Abstract

    This study focuses on embodied uses of recognitional
    demonstratives. While multimodal conversation analytic
    studies have shown how gesture and speech interact in the
    elaboration of exophoric references, little attention has been
    given to the multimodal configuration of other types of
    referential actions. Based on a video-recorded corpus of
    professional meetings held in French, this qualitative study
    shows that a subtype of deictic references, namely recognitional
    references, are frequently associated with iconic gestures, thus
    challenging the traditional distinction between exophoric and
    endophoric uses of deixis.
  • Uhrig, P., Payne, E., Pavlova, I., Burenko, I., Dykes, N., Baltazani, M., Burrows, E., Hale, S., Torr, P., & Wilson, A. (2023). Studying time conceptualisation via speech, prosody, and hand gesture: Interweaving manual and computational methods of analysis. In W. Pouw, J. Trujillo, H. R. Bosker, L. Drijvers, M. Hoetjes, J. Holler, S. Kadava, L. Van Maastricht, E. Mamus, & A. Ozyurek (Eds.), Gesture and Speech in Interaction (GeSpIn) Conference. doi:10.17617/2.3527220.

    Abstract

    This paper presents a new interdisciplinary methodology for the
    analysis of future conceptualisations in big messy media data.
    More specifically, it focuses on the depictions of post-Covid
    futures by RT during the pandemic, i.e. on data which are of
    interest not just from the perspective of academic research but
    also of policy engagement. The methodology has been
    developed to support the scaling up of fine-grained data-driven
    analysis of discourse utterances larger than individual lexical
    units which are centred around ‘will’ + the infinitive. It relies
    on the true integration of manual analytical and computational
    methods and tools in researching three modalities – textual,
    prosodic1, and gestural. The paper describes the process of
    building a computational infrastructure for the collection and
    processing of video data, which aims to empower the manual
    analysis. It also shows how manual analysis can motivate the
    development of computational tools. The paper presents
    individual computational tools to demonstrate how the
    combination of human and machine approaches to analysis can
    reveal new manifestations of cohesion between gesture and
    prosody. To illustrate the latter, the paper shows how the
    boundaries of prosodic units can work to help determine the
    boundaries of gestural units for future conceptualisations.
  • Uluşahin, O., Bosker, H. R., McQueen, J. M., & Meyer, A. S. (2023). No evidence for convergence to sub-phonemic F2 shifts in shadowing. In R. Skarnitzl, & J. Volín (Eds.), Proceedings of the 20th International Congress of the Phonetic Sciences (ICPhS 2023) (pp. 96-100). Prague: Guarant International.

    Abstract

    Over the course of a conversation, interlocutors sound more and more like each other in a process called convergence. However, the automaticity and grain size of convergence are not well established. This study therefore examined whether female native Dutch speakers converge to large yet sub-phonemic shifts in the F2 of the vowel /e/. Participants first performed a short reading task to establish baseline F2s for the vowel /e/, then shadowed 120 target words (alongside 360 fillers) which contained one instance of a manipulated vowel /e/ where the F2 had been shifted down to that of the vowel /ø/. Consistent exposure to large (sub-phonemic) downward shifts in F2 did not result in convergence. The results raise issues for theories which view convergence as a product of automatic integration between perception and production.
  • Vogel, C., Koutsombogera, M., Murat, A. C., Khosrobeigi, Z., & Ma, X. (2023). Gestural linguistic context vectors encode gesture meaning. In W. Pouw, J. Trujillo, H. R. Bosker, L. Drijvers, M. Hoetjes, J. Holler, S. Kadava, L. Van Maastricht, E. Mamus, & A. Ozyurek (Eds.), Gesture and Speech in Interaction (GeSpIn) Conference. doi:10.17617/2.3527176.

    Abstract

    Linguistic context vectors are adapted for measuring the linguistic contexts that accompany gestures and comparable co-linguistic behaviours. Focusing on gestural semiotic types, it is demonstrated that gestural linguistic context vectors carry information associated with gesture. It is suggested that these may be used to approximate gesture meaning in a similar manner to the approximation of word meaning by context vectors.
  • Witteman, J., Karaseva, E., Schiller, N. O., & McQueen, J. M. (2023). What does successful L2 vowel acquisition depend on? A conceptual replication. In R. Skarnitzl, & J. Volín (Eds.), Proceedings of the 20th International Congress of the Phonetic Sciences (ICPhS 2023) (pp. 928-931). Prague: Guarant International.

    Abstract

    It has been suggested that individual variation in vowel compactness of the native language (L1) and the distance between L1 vowels and vowels in the second language (L2) predict successful L2 vowel acquisition. Moreover, general articulatory skills have been proposed to account for variation in vowel compactness. In the present work, we conceptually replicate a previous study to test these hypotheses with a large sample size, a new language pair and a
    new vowel pair. We find evidence that individual variation in L1 vowel compactness has opposing effects for two different vowels. We do not find evidence that individual variation in L1 compactness
    is explained by general articulatory skills. We conclude that the results found previously might be specific to sub-groups of L2 learners and/or specific sub-sets of vowel pairs.
  • Zora, H., Tremblay, A. C., Gussenhoven, C., & Liu, F. (Eds.). (2023). Crosstalk between intonation and lexical tones: Linguistic, cognitive and neuroscience perspectives. Lausanne: Frontiers Media SA. doi:10.3389/978-2-8325-3301-7.
  • Akamine, S., Kohatsu, T., Niikuni, K., Schafer, A. J., & Sato, M. (2022). Emotions in language processing: Affective priming in embodied cognition. In Proceedings of the 39th Annual Meeting of Japanese Cognitive Science Society (pp. 326-332). Tokyo: Japanese Cognitive Science Society.
  • Avcılar, G., & Ünal, E. (2022). Linguistic encoding of inferential evidence for events. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the 44th Annual Conference of the Cognitive Science Society (CogSci 2022) (pp. 2825-2830).

    Abstract

    How people learn about events often varies with some events perceived in their entirety and others are inferred based on the available evidence. Here, we investigate how children and adults linguistically encode the sources of their event knowledge. We focus on Turkish – a language that obligatorily encodes source of information for past events using two evidentiality markers. Children (4- to 5-year-olds and 6- to 7- year-olds) and adults watched and described events that they directly saw or inferred based on visual cues with manipulated degrees of indirectness. Overall, participants modified the evidential marking in their descriptions depending on (a) whether they saw or inferred the event and (b) the indirectness of the visual cues giving rise to an inference. There were no differences across age groups. These findings suggest that Turkish-speaking adults’ and children’s use of evidential markers are sensitive to the indirectness of the inferential evidence for events.
  • Bauer, B. L. M. (2022). Finite verb + infinite + object in later Latin: Early brace constructions? In G. V. M. Haverling (Ed.), Studies on Late and Vulgar Latin in the Early 21st Century: Acts of the 12th International Colloquium "Latin vulgaire – Latin tardif (pp. 166-181). Uppsala: Acta Universitatis Upsaliensis.
  • Bruggeman, L., Yu, J., & Cutler, A. (2022). Listener adjustment of stress cue use to fit language vocabulary structure. In S. Frota, M. Cruz, & M. Vigário (Eds.), Proceedings of Speech Prosody 2022 (pp. 264-267). doi:10.21437/SpeechProsody.2022-54.

    Abstract

    In lexical stress languages, phonemically identical syllables can differ suprasegmentally (in duration, amplitude, F0). Such stress
    cues allow listeners to speed spoken-word recognition by rejecting mismatching competitors (e.g., unstressed set- in settee
    rules out stressed set- in setting, setter, settle). Such processing effects have indeed been observed in Spanish, Dutch and German, but English listeners are known to largely ignore stress cues. Dutch and German listeners even outdo English listeners in distinguishing stressed versus unstressed English syllables. This has been attributed to the relative frequency across the stress languages of unstressed syllables with full vowels; in English most unstressed syllables contain schwa, instead, and stress cues on full vowels are thus least often informative in this language. If only informativeness matters, would English listeners who encounter situations where such cues would pay off for them (e.g., learning one of those other stress languages) then shift to using stress cues? Likewise, would stress cue users with English as L2, if mainly using English, shift away from
    using the cues in English? Here we report tests of these two questions, with each receiving a yes answer. We propose that
    English listeners’ disregard of stress cues is purely pragmatic.
  • Bujok, R., Meyer, A. S., & Bosker, H. R. (2022). Visible lexical stress cues on the face do not influence audiovisual speech perception. In S. Frota, M. Cruz, & M. Vigário (Eds.), Proceedings of Speech Prosody 2022 (pp. 259-263). doi:10.21437/SpeechProsody.2022-53.

    Abstract

    Producing lexical stress leads to visible changes on the face, such as longer duration and greater size of the opening of the mouth. Research suggests that these visual cues alone can inform participants about which syllable carries stress (i.e., lip-reading silent videos). This study aims to determine the influence of visual articulatory cues on lexical stress perception in more naturalistic audiovisual settings. Participants were presented with seven disyllabic, Dutch minimal stress pairs (e.g., VOORnaam [first name] & voorNAAM [respectable]) in audio-only (phonetic lexical stress continua without video), video-only (lip-reading silent videos), and audiovisual trials (e.g., phonetic lexical stress continua with video of talker saying VOORnaam or voorNAAM). Categorization data from video-only trials revealed that participants could distinguish the minimal pairs above chance from seeing the silent videos alone. However, responses in the audiovisual condition did not differ from the audio-only condition. We thus conclude that visual lexical stress information on the face, while clearly perceivable, does not play a major role in audiovisual speech perception. This study demonstrates that clear unimodal effects do not always generalize to more naturalistic multimodal communication, advocating that speech prosody is best considered in multimodal settings.
  • Cambier, N., Miletitch, R., Burraco, A. B., & Raviv, L. (2022). Prosociality in swarm robotics: A model to study self-domestication and language evolution. In A. Ravignani, R. Asano, D. Valente, F. Ferretti, S. Hartmann, M. Hayashi, Y. Jadoul, M. Martins, Y. Oseki, E. D. Rodrigues, O. Vasileva, & S. Wacewicz (Eds.), The evolution of language: Proceedings of the Joint Conference on Language Evolution (JCoLE) (pp. 98-100). Nijmegen: Joint Conference on Language Evolution (JCoLE).
  • Cheung, C.-Y., Yakpo, K., & Coupé, C. (2022). A computational simulation of the genesis and spread of lexical items in situations of abrupt language contact. In A. Ravignani, R. Asano, D. Valente, F. Ferretti, S. Hartmann, M. Hayashi, Y. Jadoul, M. Martins, Y. Oseki, E. D. Rodrigues, O. Vasileva, & S. Wacewicz (Eds.), The evolution of language: Proceedings of the Joint Conference on Language Evolution (JCoLE) (pp. 115-122). Nijmegen: Joint Conference on Language Evolution (JCoLE).

    Abstract

    The current study presents an agent-based model which simulates the innovation and
    competition among lexical items in cases of language contact. It is inspired by relatively
    recent historical cases in which the linguistic ecology and sociohistorical context are highly complex. Pidgin and creole genesis offers an opportunity to obtain linguistic facts, social dynamics, and historical demography in a highly segregated society. This provides a solid ground for researching the interaction of populations with different pre-existing language systems, and how different factors contribute to the genesis of the lexicon of a newly generated mixed language. We take into consideration the population dynamics and structures, as well as a distribution of word frequencies related to language use, in order to study how social factors may affect the developmental trajectory of languages. Focusing on the case of Sranan in Suriname, our study shows that it is possible to account for the
    composition of its core lexicon in relation to different social groups, contact patterns, and
    large population movements.
  • Dingemanse, M., Liesenfeld, A., & Woensdregt, M. (2022). Convergent cultural evolution of continuers (mhmm). In A. Ravignani, R. Asano, D. Valente, F. Ferretti, S. Hartmann, M. Hayashi, Y. Jadoul, M. Martins, Y. Oseki, E. D. Rodrigues, O. Vasileva, & S. Wacewicz (Eds.), The Evolution of Language: Proceedings of the Joint Conference on Language Evolution (JCoLE) (pp. 160-167). Nijmegen: Joint Conference on Language Evolution (JCoLE). doi:10.31234/osf.io/65c79.

    Abstract

    Continuers —words like mm, mmhm, uhum and the like— are among the most frequent types of responses in conversation. They play a key role in joint action coordination by showing positive evidence of understanding and scaffolding narrative delivery. Here we investigate the hypothesis that their functional importance along with their conversational ecology places selective pressures on their form and may lead to cross-linguistic similarities through convergent cultural evolution. We compare continuer tokens in linguistically diverse conversational corpora and find languages make available highly similar forms. We then approach the causal mechanism of convergent cultural evolution using exemplar modelling, simulating the process by which a combination of effort minimization and functional specialization may push continuers to a particular region of phonological possibility space. By combining comparative linguistics and computational modelling we shed new light on the question of how language structure is shaped by and for social interaction.
  • Dingemanse, M., & Liesenfeld, A. (2022). From text to talk: Harnessing conversational corpora for humane and diversity-aware language technology. In S. Muresan, P. Nakov, & A. Villavicencio (Eds.), Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022) (pp. 5614 -5633). Dublin, Ireland: Association for Computational Linguistics.

    Abstract

    Informal social interaction is the primordial home of human language. Linguistically diverse conversational corpora are an important and largely untapped resource for computational linguistics and language technology. Through the efforts of a worldwide language documentation movement, such corpora are increasingly becoming available. We show how interactional data from 63 languages (26 families) harbours insights about turn-taking, timing, sequential structure and social action, with implications for language technology, natural language understanding, and the design of conversational interfaces. Harnessing linguistically diverse conversational corpora will provide the empirical foundations for flexible, localizable, humane language technologies of the future.
  • Dona, L., & Schouwstra, M. (2022). The Role of Structural Priming, Semantics and Population Structure in Word Order Conventionalization: A Computational Model. In A. Ravignani, R. Asano, D. Valente, F. Ferretti, S. Hartmann, M. Hayashi, Y. Jadoul, M. Martins, Y. Oseki, E. D. Rodrigues, O. Vasileva, & S. Wacewicz (Eds.), The evolution of language: Proceedings of the Joint Conference on Language Evolution (JCoLE) (pp. 171-173). Nijmegen: Joint Conference on Language Evolution (JCoLE).
  • Fletcher, J., Kidd, E., Stoakes, H., & Nordlinger, R. (2022). Prosodic phrasing, pitch range, and word order variation in Murrinhpatha. In R. Billington (Ed.), Proceedings of the 18th Australasian International Conference on Speech Science and Technology (pp. 201-205). Canberra: Australasian Speech Science and Technology Association.

    Abstract

    Like many Indigenous Australian languages, Murrinhpatha has flexible word order with no apparent configurational syntax. We analyzed an experimental corpus of Murrinhpatha utterances for associations between different thematic role orders, intonational phrasing patterns and pitch downtrends. We found that initial constituents (Agents or Patients) tend to carry the highest pitch targets (HiF0), followed by patterns of downstep and declination. Sentence-final verbs always have lower Hif0 values than either initial or medial Agents or Patients. Thematic role order does not influence intonational
    patterns, with the results suggesting that Murrinhpatha has positional prosody, although final nominals can disrupt global
    pitch downtrends regardless of thematic role.
  • Galke, L., & Scherp, A. (2022). Bag-of-words vs. graph vs. sequence in text classification: Questioning the necessity of text-graphs and the surprising strength of a wide MLP. In S. Muresan, P. Nakov, & A. Villavicencio (Eds.), Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (pp. 4038-4051). Dublin: Association for Computational Linguistics. doi:10.18653/v1/2022.acl-long.279.
  • Galke, L., Cuber, I., Meyer, C., Nölscher, H. F., Sonderecker, A., & Scherp, A. (2022). General cross-architecture distillation of pretrained language models into matrix embedding. In Proceedings of the IEEE Joint Conference on Neural Networks (IJCNN 2022), part of the IEEE World Congress on Computational Intelligence (WCCI 2022). doi:10.1109/IJCNN55064.2022.9892144.

    Abstract

    Large pretrained language models (PreLMs) are rev-olutionizing natural language processing across all benchmarks. However, their sheer size is prohibitive for small laboratories or for deployment on mobile devices. Approaches like pruning and distillation reduce the model size but typically retain the same model architecture. In contrast, we explore distilling PreLMs into a different, more efficient architecture, Continual Multiplication of Words (CMOW), which embeds each word as a matrix and uses matrix multiplication to encode sequences. We extend the CMOW architecture and its CMOW/CBOW-Hybrid variant with a bidirectional component for more expressive power, per-token representations for a general (task-agnostic) distillation during pretraining, and a two-sequence encoding scheme that facilitates downstream tasks on sentence pairs, such as sentence similarity and natural language inference. Our matrix-based bidirectional CMOW/CBOW-Hybrid model is competitive to DistilBERT on question similarity and recognizing textual entailment, but uses only half of the number of parameters and is three times faster in terms of inference speed. We match or exceed the scores of ELMo for all tasks of the GLUE benchmark except for the sentiment analysis task SST-2 and the linguistic acceptability task CoLA. However, compared to previous cross-architecture distillation approaches, we demonstrate a doubling of the scores on detecting linguistic acceptability. This shows that matrix-based embeddings can be used to distill large PreLM into competitive models and motivates further research in this direction.
  • Gamba, M., De Gregorio, C., Valente, D., Raimondi, T., Torti, V., Miaretsoa, L., Carugati, F., Friard, O., Giacoma, C., & Ravignani, A. (2022). Primate rhythmic categories analyzed on an individual basis. In A. Ravignani, R. Asano, D. Valente, F. Ferretti, S. Hartmann, M. Hayashi, Y. Jadoul, M. Martins, Y. Oseki, E. D. Rodrigues, O. Vasileva, & S. Wacewicz (Eds.), The evolution of language: Proceedings of the Joint Conference on Language Evolution (JCoLE) (pp. 229-236). Nijmegen: Joint Conference on Language Evolution (JCoLE).

    Abstract

    Rhythm is a fundamental feature characterizing communicative displays, and recent studies showed that primate songs encompass categorical rhythms falling on small integer ratios observed in humans. We individually assessed the presence and sexual dimorphism of rhythmic categories, analyzing songs emitted by 39 wild indris. Considering the intervals between the units given during each song, we extracted 13556 interval ratios and found three peaks (at around 0.33, 0.47, and 0.70). Two peaks indicated rhythmic categories corresponding to small integer ratios (1:1, 2:1). All individuals showed a peak at 0.70, and
    most showed those at 0.47 and 0.33. In addition, we found sex differences in the peak at 0.47 only, with males showing lower values than females. This work investigates the presence of individual rhythmic categories in a non-human species; further research may highlight the significance of rhythmicity and untie selective pressures that guided its evolution across species, including humans.
  • Hintz, F., Voeten, C. C., McQueen, J. M., & Meyer, A. S. (2022). Quantifying the relationships between linguistic experience, general cognitive skills and linguistic processing skills. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the 44th Annual Conference of the Cognitive Science Society (CogSci 2022) (pp. 2491-2496). Toronto, Canada: Cognitive Science Society.

    Abstract

    Humans differ greatly in their ability to use language. Contemporary psycholinguistic theories assume that individual differences in language skills arise from variability in linguistic experience and in general cognitive skills. While much previous research has tested the involvement of select verbal and non-verbal variables in select domains of linguistic processing, comprehensive characterizations of the relationships among the skills underlying language use are rare. We contribute to such a research program by re-analyzing a publicly available set of data from 112 young adults tested on 35 behavioral tests. The tests assessed nine key constructs reflecting linguistic processing skills, linguistic experience and general cognitive skills. Correlation and hierarchical clustering analyses of the test scores showed that most of the tests assumed to measure the same construct correlated moderately to strongly and largely clustered together. Furthermore, the results suggest important roles of processing speed in comprehension, and of linguistic experience in production.
  • Hoeksema, N., Hagoort, P., & Vernes, S. C. (2022). Piecing together the building blocks of the vocal learning bat brain. In A. Ravignani, R. Asano, D. Valente, F. Ferretti, S. Hartmann, M. Hayashi, Y. Jadoul, M. Martins, Y. Oseki, E. D. Rodrigues, O. Vasileva, & S. Wacewicz (Eds.), The evolution of language: Proceedings of the Joint Conference on Language Evolution (JCoLE) (pp. 294-296). Nijmegen: Joint Conference on Language Evolution (JCoLE).
  • Kan, U., Gökgöz, K., Sumer, B., Tamyürek, E., & Özyürek, A. (2022). Emergence of negation in a Turkish homesign system: Insights from the family context. In A. Ravignani, R. Asano, D. Valente, F. Ferretti, S. Hartmann, M. Hayashi, Y. Jadoul, M. Martins, Y. Oseki, E. D. Rodrigues, O. Vasileva, & S. Wacewicz (Eds.), The evolution of language: Proceedings of the Joint Conference on Language Evolution (JCoLE) (pp. 387-389). Nijmegen: Joint Conference on Language Evolution (JCoLE).
  • Kohatsu, T., Akamine, S., Sato, M., & Niikuni, K. (2022). Individual differences in empathy affect perspective adoption in language comprehension. In Proceedings of the 39th Annual Meeting of Japanese Cognitive Science Society (pp. 652-656). Tokyo: Japanese Cognitive Science Society.
  • Levinson, S. C. (2022). A grammar of Yélî Dnye: The Papuan language of Rossel Island. Berlin: De Gruyter Mouton. doi:10.1515/9783110733853.

    Abstract

    This is a comprehensive description of a language spoken some 450 km offshore from the mainland of Papua New Guinea. The language is remarkable for its phonological, morphological and syntactic complexity. As the sole surviving member of its language family, and with little historical contact with surrounding languages, the language provides evidence of the kind of languages spoken in this part of the world before the Austronesian expansion.

    The grammar provides detailed information on the phoneme inventory, morphology, syntax and select semantic fields. Remarkable features include a 90 phoneme inventory including unique sounds, a morphology with thousands of non-compositional portmanteau elements, complex rules for negation, and extensive ergative syntax. Unusual patterns are also found in the organization of semantic fields, for example in partonymies of the body, taxonomies of the natural world, verbal semantics and kinship terms. The combination of linguistic ‘rara’ suggest that linguistic evolution under low contact can yield baroque and unusual patterns. The volume should be of special interest to linguists, typologists, sociolinguists, anthropologists and researchers in Oceania and Melanesia.
  • Liesenfeld, A., & Dingemanse, M. (2022). Bottom-up discovery of structure and variation in response tokens (‘backchannels’) across diverse languages. In Proceedings of Interspeech 2022 (pp. 1126-1130).

    Abstract

    Response tokens (also known as backchannels, continuers, or feedback) are a frequent feature of human interaction, where they serve to display understanding and streamline turn-taking. We propose a bottom-up method to study responsive behaviour across 16 languages (8 language families). We use sequential context and recurrence of turns formats to identify candidate response tokens in a language-agnostic way across diverse conversational corpora. We then use UMAP clustering directly on speech signals to represent structure and variation. We find that (i) written orthographic annotations underrepresent the attested variation, (ii) distinctions between formats can be gradient rather than discrete, (iii) most languages appear to make available a broad distinction between a minimal nasal format `mm' and a fuller `yeah’-like format. Charting this aspect of human interaction contributes to our understanding of interactional infrastructure across languages and can inform the design of speech technologies.
  • Liesenfeld, A., & Dingemanse, M. (2022). Building and curating conversational corpora for diversity-aware language science and technology. In F. Béchet, P. Blache, K. Choukri, C. Cieri, T. DeClerck, S. Goggi, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, & J. Odijk (Eds.), Proceedings of the 13th Language Resources and Evaluation Conference (LREC 2022) (pp. 1178-1192). Marseille, France: European Language Resources Association.

    Abstract

    We present an analysis pipeline and best practice guidelines for building and curating corpora of everyday conversation in diverse languages. Surveying language documentation corpora and other resources that cover 67 languages and varieties from 28 phyla, we describe the compilation and curation process, specify minimal properties of a unified format for interactional data, and develop methods for quality control that take into account turn-taking and timing. Two case studies show the broad utility of conversational data for (i) charting human interactional infrastructure and (ii) tracing challenges and opportunities for current ASR solutions. Linguistically diverse conversational corpora can provide new insights for the language sciences and stronger empirical foundations for language technology.
  • Merkx, D., Frank, S. L., & Ernestus, M. (2022). Seeing the advantage: Visually grounding word embeddings to better capture human semantic knowledge. In E. Chersoni, N. Hollenstein, C. Jacobs, Y. Oseki, L. Prévot, & E. Santus (Eds.), Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2022) (pp. 1-11). Stroudsburg, PA, USA: Association for Computational Linguistics (ACL).

    Abstract

    Distributional semantic models capture word-level meaning that is useful in many natural language processing tasks and have even been shown to capture cognitive aspects of word meaning. The majority of these models are purely text based, even though the human sensory experience is much richer. In this paper we create visually grounded word embeddings by combining English text and images and compare them to popular text-based methods, to see if visual information allows our model to better capture cognitive aspects of word meaning. Our analysis shows that visually grounded embedding similarities are more predictive of the human reaction times in a large priming experiment than the purely text-based embeddings. The visually grounded embeddings also correlate well with human word similarity ratings.Importantly, in both experiments we show that he grounded embeddings account for a unique portion of explained variance, even when we include text-based embeddings trained on huge corpora. This shows that visual grounding allows our model to capture information that cannot be extracted using text as the only source of information.
  • Mishra, C., & Skantze, G. (2022). Knowing where to look: A planning-based architecture to automate the gaze behavior of social robots. In Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) (pp. 1201-1208). doi:10.1109/RO-MAN53752.2022.9900740.

    Abstract

    Gaze cues play an important role in human communication and are used to coordinate turn-taking and joint attention, as well as to regulate intimacy. In order to have fluent conversations with people, social robots need to exhibit humanlike gaze behavior. Previous Gaze Control Systems (GCS) in HRI have automated robot gaze using data-driven or heuristic approaches. However, these systems tend to be mainly reactive in nature. Planning the robot gaze ahead of time could help in achieving more realistic gaze behavior and better eye-head coordination. In this paper, we propose and implement a novel planning-based GCS. We evaluate our system in a comparative within-subjects user study (N=26) between a reactive system and our proposed system. The results show that the users preferred the proposed system and that it was significantly more interpretable and better at regulating intimacy.
  • Raviv, L., Jacobson, S. L., Plotnik, J. M., Bowman, J., Lynch, V., & Benítez-Burraco, A. (2022). Elephants as a new animal model for studying the evolution of language as a result of self-domestication. In A. Ravignani, R. Asano, D. Valente, F. Ferretti, S. Hartmann, M. Hayashi, Y. Jadoul, M. Martins, Y. Oseki, E. D. Rodrigues, O. Vasileva, & S. Wacewicz (Eds.), The evolution of language: Proceedings of the Joint Conference on Language Evolution (JCoLE) (pp. 606-608). Nijmegen: Joint Conference on Language Evolution (JCoLE).
  • de Reus, K., Carlson, D., Lowry, A., Gross, S., Garcia, M., Rubio-García, A., Salazar-Casals, A., & Ravignani, A. (2022). Body size predicts vocal tract size in a mammalian vocal learner. In A. Ravignani, R. Asano, D. Valente, F. Ferretti, S. Hartmann, M. Hayashi, Y. Jadoul, M. Martins, Y. Oseki, E. D. Rodrigues, O. Vasileva, & S. Wacewicz (Eds.), The evolution of language: Proceedings of the Joint Conference on Language Evolution (JCoLE) (pp. 154-156). Nijmegen: Joint Conference on Language Evolution (JCoLE).
  • Scholman, M., Tianai, D., Yung, F., & Demberg, V. (2022). DiscoGeM: A crowdsourced corpus of genre-mixed implicit discourse relations. In N. Calzolari, F. Béchet, P. Blache, K. Choukri, C. Cieri, T. DeClerck, S. Goggi, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, J. Odijk, & S. Piperidis (Eds.), Proceedings of the 13th Language Resources and Evaluation Conference (LREC 2022) (pp. 3281-3290). Marseille, France: European Language Resources Association.

    Abstract

    We present DiscoGeM, a crowdsourced corpus of 6,505 implicit discourse relations from three genres: political speech,
    literature, and encyclopedic texts. Each instance was annotated by 10 crowd workers. Various label aggregation methods
    were explored to evaluate how to obtain a label that best captures the meaning inferred by the crowd annotators. The results
    show that a significant proportion of discourse relations in DiscoGeM are ambiguous and can express multiple relation senses.
    Probability distribution labels better capture these interpretations than single labels. Further, the results emphasize that text
    genre crucially affects the distribution of discourse relations, suggesting that genre should be included as a factor in automatic
    relation classification. We make available the newly created DiscoGeM corpus, as well as the dataset with all annotator-level
    labels. Both the corpus and the dataset can facilitate a multitude of applications and research purposes, for example to
    function as training data to improve the performance of automatic discourse relation parsers, as well as facilitate research into
    non-connective signals of discourse relations.
  • Senft, G. (2022). Understanding Pragmatics (Japanese edition) (2nd ed.). Tokyo: Kaitaku-Sha.

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