Publications

Displaying 1 - 100 of 154
  • 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

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  • Allen, S. E. M. (1998). A discourse-pragmatic explanation for the subject-object asymmetry in early null arguments. In A. Sorace, C. Heycock, & R. Shillcock (Eds.), Proceedings of the GALA '97 Conference on Language Acquisition (pp. 10-15). Edinburgh, UK: Edinburgh University Press.

    Abstract

    The present paper assesses discourse-pragmatic factors as a potential explanation for the subject-object assymetry in early child language. It identifies a set of factors which characterize typical situations of informativeness (Greenfield & Smith, 1976), and uses these factors to identify informative arguments in data from four children aged 2;0 through 3;6 learning Inuktitut as a first language. In addition, it assesses the extent of the links between features of informativeness on one hand and lexical vs. null and subject vs. object arguments on the other. Results suggest that a pragmatics account of the subject-object asymmetry can be upheld to a greater extent than previous research indicates, and that several of the factors characterizing informativeness are good indicators of those arguments which tend to be omitted in early child language.
  • Allerhand, M., Butterfield, S., Cutler, A., & Patterson, R. (1992). Assessing syllable strength via an auditory model. In Proceedings of the Institute of Acoustics: Vol. 14 Part 6 (pp. 297-304). St. Albans, Herts: Institute of Acoustics.
  • Arnhold, A., Vainio, M., Suni, A., & Järvikivi, J. (2010). Intonation of Finnish verbs. Speech Prosody 2010, 100054, 1-4. Retrieved from http://speechprosody2010.illinois.edu/papers/100054.pdf.

    Abstract

    A production experiment investigated the tonal shape of Finnish finite verbs in transitive sentences without narrow focus. Traditional descriptions of Finnish stating that non-focused finite verbs do not receive accents were only partly supported. Verbs were found to have a consistently smaller pitch range than words in other word classes, but their pitch contours were neither flat nor explainable by pure interpolation.
  • Auer, E., Wittenburg, P., Sloetjes, H., Schreer, O., Masneri, S., Schneider, D., & Tschöpel, S. (2010). Automatic annotation of media field recordings. In C. Sporleder, & K. Zervanou (Eds.), Proceedings of the ECAI 2010 Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH 2010) (pp. 31-34). Lisbon: University de Lisbon. Retrieved from http://ilk.uvt.nl/LaTeCH2010/.

    Abstract

    In the paper we describe a new attempt to come to automatic detectors processing real scene audio-video streams that can be used by researchers world-wide to speed up their annotation and analysis work. Typically these recordings are taken in field and experimental situations mostly with bad quality and only little corpora preventing to use standard stochastic pattern recognition techniques. Audio/video processing components are taken out of the expert lab and are integrated in easy-to-use interactive frameworks so that the researcher can easily start them with modified parameters and can check the usefulness of the created annotations. Finally a variety of detectors may have been used yielding a lattice of annotations. A flexible search engine allows finding combinations of patterns opening completely new analysis and theorization possibilities for the researchers who until were required to do all annotations manually and who did not have any help in pre-segmenting lengthy media recordings.
  • Auer, E., Russel, A., Sloetjes, H., Wittenburg, P., Schreer, O., Masnieri, S., Schneider, D., & Tschöpel, S. (2010). ELAN as flexible annotation framework for sound and image processing detectors. In N. Calzolari, B. Maegaard, J. Mariani, J. Odjik, K. Choukri, S. Piperidis, M. Rosner, & D. Tapias (Eds.), Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10) (pp. 890-893). European Language Resources Association (ELRA).

    Abstract

    Annotation of digital recordings in humanities research still is, to a largeextend, a process that is performed manually. This paper describes the firstpattern recognition based software components developed in the AVATecH projectand their integration in the annotation tool ELAN. AVATecH (AdvancingVideo/Audio Technology in Humanities Research) is a project that involves twoMax Planck Institutes (Max Planck Institute for Psycholinguistics, Nijmegen,Max Planck Institute for Social Anthropology, Halle) and two FraunhoferInstitutes (Fraunhofer-Institut für Intelligente Analyse- undInformationssysteme IAIS, Sankt Augustin, Fraunhofer Heinrich-Hertz-Institute,Berlin) and that aims to develop and implement audio and video technology forsemi-automatic annotation of heterogeneous media collections as they occur inmultimedia based research. The highly diverse nature of the digital recordingsstored in the archives of both Max Planck Institutes, poses a huge challenge tomost of the existing pattern recognition solutions and is a motivation to makesuch technology available to researchers in the humanities.
  • Bardhan, N. P., Aslin, R., & Tanenhaus, M. (2010). Adults' self-directed learning of an artificial lexicon: The dynamics of neighborhood reorganization. In S. Ohlsson, & R. Catrambone (Eds.), Proceedings of the 32nd Annual Meeting of the Cognitive Science Society (pp. 364-368). Austin, TX: Cognitive Science Society.
  • 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
  • Bergmann, C., Paulus, M., & Fikkert, J. (2010). A closer look at pronoun comprehension: Comparing different methods. In J. Costa, A. Castro, M. Lobo, & F. Pratas (Eds.), Language Acquisition and Development: Proceedings of GALA 2009 (pp. 53-61). Newcastle upon Tyne: Cambridge Scholars Publishing.

    Abstract

    1. Introduction External input is necessary to acquire language. Consequently, the comprehension of various constituents of language, such as lexical items or syntactic and semantic structures should emerge at the same time as or even precede their production. However, in the case of pronouns this general assumption does not seem to hold. On the contrary, while children at the age of four use pronouns and reflexives appropriately during production (de Villiers, et al. 2006), a number of comprehension studies across different languages found chance performance in pronoun trials up to the age of seven, which co-occurs with a high level of accuracy in reflexive trials (for an overview see e.g. Conroy, et al. 2009; Elbourne 2005).
  • Bergmann, C., Gubian, M., & Boves, L. (2010). Modelling the effect of speaker familiarity and noise on infant word recognition. In Proceedings of the 11th Annual Conference of the International Speech Communication Association [Interspeech 2010] (pp. 2910-2913). ISCA.

    Abstract

    In the present paper we show that a general-purpose word learning model can simulate several important findings from recent experiments in language acquisition. Both the addition of background noise and varying the speaker have been found to influence infants’ performance during word recognition experiments. We were able to replicate this behaviour in our artificial word learning agent. We use the results to discuss both advantages and limitations of computational models of language acquisition.
  • Bottini, R., & Casasanto, D. (2010). Implicit spatial length modulates time estimates, but not vice versa. In S. Ohlsson, & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 1348-1353). Austin, TX: Cognitive Science Society.

    Abstract

    Why do people accommodate to each other’s linguistic behavior? Studies of natural interactions (Giles, Taylor & Bourhis, 1973) suggest that speakers accommodate to achieve interactional goals, influencing what their interlocutor thinks or feels about them. But is this the only reason speakers accommodate? In real-world conversations, interactional motivations are ubiquitous, making it difficult to assess the extent to which they drive accommodation. Do speakers still accommodate even when interactional goals cannot be achieved, for instance, when their interlocutor cannot interpret their accommodation behavior? To find out, we asked participants to enter an immersive virtual reality (VR) environment and to converse with a virtual interlocutor. Participants accommodated to the speech rate of their virtual interlocutor even though he could not interpret their linguistic behavior, and thus accommodation could not possibly help them to achieve interactional goals. Results show that accommodation does not require explicit interactional goals, and suggest other social motivations for accommodation.
  • Bowerman, M. (1996). Argument structure and learnability: Is a solution in sight? In J. Johnson, M. L. Juge, & J. L. Moxley (Eds.), Proceedings of the Twenty-second Annual Meeting of the Berkeley Linguistics Society, February 16-19, 1996. General Session and Parasession on The Role of Learnability in Grammatical Theory (pp. 454-468). Berkeley Linguistics Society.
  • Broeder, D., Kemps-Snijders, M., Van Uytvanck, D., Windhouwer, M., Withers, P., Wittenburg, P., & Zinn, C. (2010). A data category registry- and component-based metadata framework. In N. Calzolari, B. Maegaard, J. Mariani, J. Odjik, K. Choukri, S. Piperidis, M. Rosner, & D. Tapias (Eds.), Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10) (pp. 43-47). European Language Resources Association (ELRA).

    Abstract

    We describe our computer-supported framework to overcome the rule of metadata schism. It combines the use of controlled vocabularies, managed by a data category registry, with a component-based approach, where the categories can be combined to yield complex metadata structures. A metadata scheme devised in this way will thus be grounded in its use of categories. Schema designers will profit from existing prefabricated larger building blocks, motivating re-use at a larger scale. The common base of any two metadata schemes within this framework will solve, at least to a good extent, the semantic interoperability problem, and consequently, further promote systematic use of metadata for existing resources and tools to be shared.
  • Broersma, M. (2010). Dutch listener's perception of Korean fortis, lenis, and aspirated stops: First exposure. In K. Dziubalska-Kołaczyk, M. Wrembel, & M. Kul (Eds.), Proceedings of the 6th International Symposium on the Acquisition of Second Language Speech, New Sounds 2010, Poznań, Poland, 1-3 May 2010 (pp. 49-54).
  • Broersma, M. (2010). Korean lenis, fortis, and aspirated stops: Effect of place of articulation on acoustic realization. In Proceedings of the 11th Annual Conference of the International Speech Communication Association (Interspeech 2010), Makuhari, Japan. (pp. 941-944).

    Abstract

    Unlike most of the world's languages, Korean distinguishes three types of voiceless stops, namely lenis, fortis, and aspirated stops. All occur at three places of articulation. In previous work, acoustic measurements are mostly collapsed over the three places of articulation. This study therefore provides acoustic measurements of Korean lenis, fortis, and aspirated stops at all three places of articulation separately. Clear differences are found among the acoustic characteristics of the stops at the different places of articulation
  • Brookshire, G., Casasanto, D., & Ivry, R. (2010). Modulation of motor-meaning congruity effects for valenced words. In S. Ohlsson, & R. Catrambone (Eds.), Proceedings of the 32nd Annual Meeting of the Cognitive Science Society (CogSci 2010) (pp. 1940-1945). Austin, TX: Cognitive Science Society.

    Abstract

    We investigated the extent to which emotionally valenced words automatically cue spatio-motor representations. Participants made speeded button presses, moving their hand upward or downward while viewing words with positive or negative valence. Only the color of the words was relevant to the response; on target trials, there was no requirement to read the words or process their meaning. In Experiment 1, upward responses were faster for positive words, and downward for negative words. This effect was extinguished, however, when words were repeated. In Experiment 2, participants performed the same primary task with the addition of distractor trials. Distractors either oriented attention toward the words’ meaning or toward their color. Congruity effects were increased with orientation to meaning, but eliminated with orientation to color. When people read words with emotional valence, vertical spatio-motor representations are activated highly automatically, but this automaticity is modulated by repetition and by attentional orientation to the words’ form or meaning.
  • Brouwer, H., Fitz, H., & Hoeks, J. C. (2010). Modeling the noun phrase versus sentence coordination ambiguity in Dutch: Evidence from Surprisal Theory. In Proceedings of the 2010 Workshop on Cognitive Modeling and Computational Linguistics, ACL 2010 (pp. 72-80). Association for Computational Linguistics.

    Abstract

    This paper investigates whether surprisal theory can account for differential processing difficulty in the NP-/S-coordination ambiguity in Dutch. Surprisal is estimated using a Probabilistic Context-Free Grammar (PCFG), which is induced from an automatically annotated corpus. We find that our lexicalized surprisal model can account for the reading time data from a classic experiment on this ambiguity by Frazier (1987). We argue that syntactic and lexical probabilities, as specified in a PCFG, are sufficient to account for what is commonly referred to as an NP-coordination preference.
  • Casasanto, D., & Bottini, R. (2010). Can mirror-reading reverse the flow of time? In S. Ohlsson, & R. Catrambone (Eds.), Proceedings of the 32nd Annual Meeting of the Cognitive Science Society (CogSci 2010) (pp. 1342-1347). Austin, TX: Cognitive Science Society.

    Abstract

    Across cultures, people conceptualize time as if it flows along a horizontal timeline, but the direction of this implicit timeline is culture-specific: in cultures with left-to-right orthography (e.g., English-speaking cultures) time appears to flow rightward, but in cultures with right-to-left orthography (e.g., Arabic-speaking cultures) time flows leftward. Can orthography influence implicit time representations independent of other cultural and linguistic factors? Native Dutch speakers performed a space-time congruity task with the instructions and stimuli written in either standard Dutch or mirror-reversed Dutch. Participants in the Standard Dutch condition were fastest to judge past-oriented phrases by pressing the left button and future-oriented phrases by pressing the right button. Participants in the Mirror-Reversed Dutch condition showed the opposite pattern of reaction times, consistent with results found previously in native Arabic and Hebrew speakers. These results demonstrate a causal role for writing direction in shaping implicit mental representations of time.
  • Casasanto, D., & Bottini, R. (2010). Mirror-reading can reverse the flow of time [Abstract]. In Proceedings of the 16th Annual Conference on Architectures and Mechanisms for Language Processing [AMLaP 2010] (pp. 57). York: University of York.
  • Casasanto, D., & Jasmin, K. (2010). Good and bad in the hands of politicians: Spontaneous gestures during positive and negative speech [Abstract]. In Proceedings of the 16th Annual Conference on Architectures and Mechanisms for Language Processing [AMLaP 2010] (pp. 137). York: University of York.
  • Chen, A., & Destruel, E. (2010). Intonational encoding of focus in Toulousian French. Speech Prosody 2010, 100233, 1-4. Retrieved from http://speechprosody2010.illinois.edu/papers/100233.pdf.

    Abstract

    Previous studies on focus marking in French have shown that post-focus deaccentuation, phrasing and phonetic cues like peak height and duration are employed to encode narrow focus but tonal patterns appear to be irrelevant. These studies either examined Standard French or did not control for the regional varieties spoken by the speakers. The present study investigated the use of all these cues in expressing narrow focus in naturally spoken declarative sentences in Toulousian French. It was found that similar to Standard French, Toulousian French uses post-focus deaccentuation and phrasing to mark focus. Different from Standard French, Toulousian French does not use the phonetic cues but use tonal patterns to encode focus. Tonal patterns ending with H\% occur more frequently in the VPs when the subject is in focus but tonal patterns ending with L\% occur more frequently in the VPs when the object is in focus. Our study thus provides a first insight into the similarities and differences in focus marking between Toulousian French and Standard French.
  • 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
  • Crago, M. B., Allen, S. E. M., & Pesco, D. (1998). Issues of Complexity in Inuktitut and English Child Directed Speech. In Proceedings of the twenty-ninth Annual Stanford Child Language Research Forum (pp. 37-46).
  • Cutler, A., & Otake, T. (1998). Assimilation of place in Japanese and Dutch. In R. Mannell, & J. Robert-Ribes (Eds.), Proceedings of the Fifth International Conference on Spoken Language Processing: vol. 5 (pp. 1751-1754). Sydney: ICLSP.

    Abstract

    Assimilation of place of articulation across a nasal and a following stop consonant is obligatory in Japanese, but not in Dutch. In four experiments the processing of assimilated forms by speakers of Japanese and Dutch was compared, using a task in which listeners blended pseudo-word pairs such as ranga-serupa. An assimilated blend of this pair would be rampa, an unassimilated blend rangpa. Japanese listeners produced significantly more assimilated than unassimilated forms, both with pseudo-Japanese and pseudo-Dutch materials, while Dutch listeners produced significantly more unassimilated than assimilated forms in each materials set. This suggests that Japanese listeners, whose native-language phonology involves obligatory assimilation constraints, represent the assimilated nasals in nasal-stop sequences as unmarked for place of articulation, while Dutch listeners, who are accustomed to hearing unassimilated forms, represent the same nasal segments as marked for place of articulation.
  • Cutler, A., El Aissati, A., Hanulikova, A., & McQueen, J. M. (2010). Effects on speech parsing of vowelless words in the phonology. In Abstracts of Laboratory Phonology 12 (pp. 115-116).
  • Cutler, A. (1998). How listeners find the right words. In Proceedings of the Sixteenth International Congress on Acoustics: Vol. 2 (pp. 1377-1380). Melville, NY: Acoustical Society of America.

    Abstract

    Languages contain tens of thousands of words, but these are constructed from a tiny handful of phonetic elements. Consequently, words resemble one another, or can be embedded within one another, a coup stick snot with standing. me process of spoken-word recognition by human listeners involves activation of multiple word candidates consistent with the input, and direct competition between activated candidate words. Further, human listeners are sensitive, at an early, prelexical, stage of speeeh processing, to constraints on what could potentially be a word of the language.
  • Cutler, A., Kearns, R., Norris, D., & Scott, D. (1992). Listeners’ responses to extraneous signals coincident with English and French speech. In J. Pittam (Ed.), Proceedings of the 4th Australian International Conference on Speech Science and Technology (pp. 666-671). Canberra: Australian Speech Science and Technology Association.

    Abstract

    English and French listeners performed two tasks - click location and speeded click detection - with both English and French sentences, closely matched for syntactic and phonological structure. Clicks were located more accurately in open- than in closed-class words in both English and French; they were detected more rapidly in open- than in closed-class words in English, but not in French. The two listener groups produced the same pattern of responses, suggesting that higher-level linguistic processing was not involved in these tasks.
  • Cutler, A., Treiman, R., & Van Ooijen, B. (1998). Orthografik inkoncistensy ephekts in foneme detektion? In R. Mannell, & J. Robert-Ribes (Eds.), Proceedings of the Fifth International Conference on Spoken Language Processing: Vol. 6 (pp. 2783-2786). Sydney: ICSLP.

    Abstract

    The phoneme detection task is widely used in spoken word recognition research. Alphabetically literate participants, however, are more used to explicit representations of letters than of phonemes. The present study explored whether phoneme detection is sensitive to how target phonemes are, or may be, orthographically realised. Listeners detected the target sounds [b,m,t,f,s,k] in word-initial position in sequences of isolated English words. Response times were faster to the targets [b,m,t], which have consistent word-initial spelling, than to the targets [f,s,k], which are inconsistently spelled, but only when listeners’ attention was drawn to spelling by the presence in the experiment of many irregularly spelled fillers. Within the inconsistent targets [f,s,k], there was no significant difference between responses to targets in words with majority and minority spellings. We conclude that performance in the phoneme detection task is not necessarily sensitive to orthographic effects, but that salient orthographic manipulation can induce such sensitivity.
  • Cutler, A., Mitterer, H., Brouwer, S., & Tuinman, A. (2010). Phonological competition in casual speech. In Proceedings of DiSS-LPSS Joint Workshop 2010 (pp. 43-46).
  • Cutler, A. (1996). The comparative study of spoken-language processing. In H. T. Bunnell (Ed.), Proceedings of the Fourth International Conference on Spoken Language Processing: Vol. 1 (pp. 1). New York: Institute of Electrical and Electronics Engineers.

    Abstract

    Psycholinguists are saddled with a paradox. Their aim is to construct a model of human language processing, which will hold equally well for the processing of any language, but this aim cannot be achieved just by doing experiments in any language. They have to compare processing of many languages, and actively search for effects which are specific to a single language, even though a model which is itself specific to a single language is really the last thing they want.
  • Cutler, A., & Robinson, T. (1992). Response time as a metric for comparison of speech recognition by humans and machines. In J. Ohala, T. Neary, & B. Derwing (Eds.), Proceedings of the Second International Conference on Spoken Language Processing: Vol. 1 (pp. 189-192). Alberta: University of Alberta.

    Abstract

    The performance of automatic speech recognition systems is usually assessed in terms of error rate. Human speech recognition produces few errors, but relative difficulty of processing can be assessed via response time techniques. We report the construction of a measure analogous to response time in a machine recognition system. This measure may be compared directly with human response times. We conducted a trial comparison of this type at the phoneme level, including both tense and lax vowels and a variety of consonant classes. The results suggested similarities between human and machine processing in the case of consonants, but differences in the case of vowels.
  • Cutler, A., & Butterfield, S. (1986). The perceptual integrity of initial consonant clusters. In R. Lawrence (Ed.), Speech and Hearing: Proceedings of the Institute of Acoustics (pp. 31-36). Edinburgh: Institute of Acoustics.
  • Cutler, A., & Otake, T. (1996). The processing of word prosody in Japanese. In P. McCormack, & A. Russell (Eds.), Proceedings of the 6th Australian International Conference on Speech Science and Technology (pp. 599-604). Canberra: Australian Speech Science and Technology Association.
  • Cutler, A. (1998). The recognition of spoken words with variable representations. In D. Duez (Ed.), Proceedings of the ESCA Workshop on Sound Patterns of Spontaneous Speech (pp. 83-92). Aix-en-Provence: Université de Aix-en-Provence.
  • Cutler, A., & Shanley, J. (2010). Validation of a training method for L2 continuous-speech segmentation. In Proceedings of the 11th Annual Conference of the International Speech Communication Association (Interspeech 2010), Makuhari, Japan (pp. 1844-1847).

    Abstract

    Recognising continuous speech in a second language is often unexpectedly difficult, as the operation of segmenting speech is so attuned to native-language structure. We report the initial steps in development of a novel training method for second-language listening, focusing on speech segmentation and employing a task designed for studying this: word-spotting. Listeners detect real words in sequences consisting of a word plus a minimal context. The present validation study shows that learners from varying non-English backgrounds successfully perform a version of this task in English, and display appropriate sensitivity to structural factors that also affect segmentation by native English listeners.
  • 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.
  • Dolscheid, S., Shayan, S., Ozturk, O., Majid, A., & Casasanto, D. (2010). Language shapes mental representations of musical pitch: Implications for metaphorical language processing [Abstract]. In Proceedings of the 16th Annual Conference on Architectures and Mechanisms for Language Processing [AMLaP 2010] (pp. 137). York: University of York.

    Abstract

    Speakers often use spatial metaphors to talk about musical pitch (e.g., a low note, a high soprano). Previous experiments suggest that English speakers also think about pitches as high or low in space, even when theyʼre not using language or musical notation (Casasanto, 2010). Do metaphors in language merely reflect pre-existing associations between space and pitch, or might language also shape these non-linguistic metaphorical mappings? To investigate the role of language in pitch tepresentation, we conducted a pair of non-linguistic spacepitch interference experiments in speakers of two languages that use different spatial metaphors. Dutch speakers usually describe pitches as ʻhighʼ (hoog) and ʻlowʼ (laag). Farsi speakers, however, often describe high-frequency pitches as ʻthinʼ (naazok) and low-frequency pitches as ʻthickʼ (koloft). Do Dutch and Farsi speakers mentally represent pitch differently? To find out, we asked participants to reproduce musical pitches that they heard in the presence of irrelevant spatial information (i.e., lines that varied either in height or in thickness). For the Height Interference experiment, horizontal lines bisected a vertical reference line at one of nine different locations. For the Thickness Interference experiment, a vertical line appeared in the middle of the screen in one of nine thicknesses. In each experiment, the nine different lines were crossed with nine different pitches ranging from C4 to G#4 in semitone increments, to produce 81 distinct trials. If Dutch and Farsi speakers mentally represent pitch the way they talk about it, using different kinds of spatial representations, they should show contrasting patterns of cross-dimensional interference: Dutch speakersʼ pitch estimates should be more strongly affected by irrelevant height information, and Farsi speakersʼ by irrelevant thickness information. As predicted, Dutch speakersʼ pitch estimates were significantly modulated by spatial height but not by thickness. Conversely, Farsi speakersʼ pitch estimates were modulated by spatial thickness but not by height (2x2 ANOVA on normalized slopes of the effect of space on pitch: F(1,71)=17,15 p<.001). To determine whether language plays a causal role in shaping pitch representations, we conducted a training experiment. Native Dutch speakers learned to use Farsi-like metaphors, describing pitch relationships in terms of thickness (e.g., a cello sounds ʻthickerʼ than a flute). After training, Dutch speakers showed a significant effect of Thickness interference in the non-linguistic pitch reproduction task, similar to native Farsi speakers: on average, pitches accompanied by thicker lines were reproduced as lower in pitch (effect of thickness on pitch: r=-.22, p=.002). By conducting psychophysical tasks, we tested the ʻWhorfianʼ question without using words. Yet, results also inform theories of metaphorical language processing. According to psycholinguistic theories (e.g., Bowdle & Gentner, 2005), highly conventional metaphors are processed without any active mapping from the source to the target domain (e.g., from space to pitch). Our data, however, suggest that when people use verbal metaphors they activate a corresponding non-linguistic mapping from either height or thickness to pitch, strengthening this association at the expense of competing associations. As a result, people who use different metaphors in their native languages form correspondingly different representations of musical pitch. Casasanto, D. (2010). Space for Thinking. In Language, Cognition and Space: State of the art and new directions. V. Evans & P. Chilton (Eds.), 453-478, London: Equinox Publishing. Bowdle, B. & Gentner, D. (2005). The career of metaphor. Psychological Review, 112, 193-216.
  • 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.
  • Drexler, H., Verbunt, A., & Wittenburg, P. (1996). Max Planck Electronic Information Desk. In B. den Brinker, J. Beek, A. Hollander, & R. Nieuwboer (Eds.), Zesde workshop computers in de psychologie: Programma en uitgebreide samenvattingen (pp. 64-66). Amsterdam: Vrije Universiteit Amsterdam, IFKB.
  • Drozd, K. F. (1998). No as a determiner in child English: A summary of categorical evidence. In A. Sorace, C. Heycock, & R. Shillcock (Eds.), Proceedings of the Gala '97 Conference on Language Acquisition (pp. 34-39). Edinburgh, UK: Edinburgh University Press,.

    Abstract

    This paper summarizes the results of a descriptive syntactic category analysis of child English no which reveals that young children use and represent no as a determiner and negatives like no pen as NPs, contra standard analyses.
  • Eisner, F., Weber, A., & Melinger, A. (2010). Generalization of learning in pre-lexical adjustments to word-final devoicing [Abstract]. Journal of the Acoustical Society of America, 128, 2323.

    Abstract

    Pre-lexical representations of speech sounds have been to shown to change dynamically through a mechanism of lexically driven learning. [Norris et al. (2003).] Here we investigated whether this type of learning occurs in native British English (BE) listeners for a word-final stop contrast which is commonly de-voiced in Dutch-accented English. Specifically, this study asked whether the change in pre-lexical representation also encodes information about the position of the critical sound within a word. After exposure to a native Dutch speaker's productions of de-voiced stops in word-final position (but not in any other positions), BE listeners showed evidence of perceptual learning in a subsequent cross-modal priming task, where auditory primes with voiceless final stops (e.g., [si:t], “seat”) facilitated recognition of visual targets with voiced final stops (e.g., “seed”). This learning generalized to test pairs where the critical contrast was in word-initial position, e.g., auditory primes such as [taun] (“town”), facilitated recognition of visual targets like “down”. Control listeners, who had not heard any stops by the speaker during exposure, showed no learning effects. The results suggest that under these exposure conditions, word position is not encoded in the pre-lexical adjustment to the accented phoneme contras
  • Fitz, H. (2010). Statistical learning of complex questions. In S. Ohlsson, & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 2692-2698). Austin, TX: Cognitive Science Society.

    Abstract

    The problem of auxiliary fronting in complex polar questions occupies a prominent position within the nature versus nurture controversy in language acquisition. We employ a model of statistical learning which uses sequential and semantic information to produce utterances from a bag of words. This linear learner is capable of generating grammatical questions without exposure to these structures in its training environment. We also demonstrate that the model performs superior to n-gram learners on this task. Implications for nativist theories of language acquisition are discussed.
  • Furman, R., Ozyurek, A., & Küntay, A. C. (2010). Early language-specificity in Turkish children's caused motion event expressions in speech and gesture. In K. Franich, K. M. Iserman, & L. L. Keil (Eds.), Proceedings of the 34th Boston University Conference on Language Development. Volume 1 (pp. 126-137). Somerville, MA: Cascadilla Press.
  • 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.
  • Goudbeek, M., & Broersma, M. (2010). The Demo/Kemo corpus: A principled approach to the study of cross-cultural differences in the vocal expression and perception of emotion. In Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC 2010) (pp. 2211-2215). Paris: ELRA.

    Abstract

    This paper presents the Demo / Kemo corpus of Dutch and Korean emotional speech. The corpus has been specifically developed for the purpose of cross-linguistic comparison, and is more balanced than any similar corpus available so far: a) it contains expressions by both Dutch and Korean actors as well as judgments by both Dutch and Korean listeners; b) the same elicitation technique and recording procedure was used for recordings of both languages; c) the same nonsense sentence, which was constructed to be permissible in both languages, was used for recordings of both languages; and d) the emotions present in the corpus are balanced in terms of valence, arousal, and dominance. The corpus contains a comparatively large number of emotions (eight) uttered by a large number of speakers (eight Dutch and eight Korean). The counterbalanced nature of the corpus will enable a stricter investigation of language-specific versus universal aspects of emotional expression than was possible so far. Furthermore, given the carefully controlled phonetic content of the expressions, it allows for analysis of the role of specific phonetic features in emotional expression in Dutch and Korean.
  • 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.
  • Gubian, M., Bergmann, C., & Boves, L. (2010). Investigating word learning processes in an artificial agent. In Proceedings of the IXth IEEE International Conference on Development and Learning (ICDL). Ann Arbor, MI, 18-21 Aug. 2010 (pp. 178 -184). IEEE.

    Abstract

    Researchers in human language processing and acquisition are making an increasing use of computational models. Computer simulations provide a valuable platform to reproduce hypothesised learning mechanisms that are otherwise very difficult, if not impossible, to verify on human subjects. However, computational models come with problems and risks. It is difficult to (automatically) extract essential information about the developing internal representations from a set of simulation runs, and often researchers limit themselves to analysing learning curves based on empirical recognition accuracy through time. The associated risk is to erroneously deem a specific learning behaviour as generalisable to human learners, while it could also be a mere consequence (artifact) of the implementation of the artificial learner or of the input coding scheme. In this paper a set of simulation runs taken from the ACORNS project is investigated. First a look `inside the box' of the learner is provided by employing novel quantitative methods for analysing changing structures in large data sets. Then, the obtained findings are discussed in the perspective of their ecological validity in the field of child language acquisition.
  • Gullberg, M., & Indefrey, P. (Eds.). (2010). The earliest stages of language learning [Special Issue]. Language Learning, 60(Supplement s2).
  • Hanique, I., Schuppler, B., & Ernestus, M. (2010). Morphological and predictability effects on schwa reduction: The case of Dutch word-initial syllables. In Proceedings of the 11th Annual Conference of the International Speech Communication Association (Interspeech 2010), Makuhari, Japan (pp. 933-936).

    Abstract

    This corpus-based study shows that the presence and duration of schwa in Dutch word-initial syllables are affected by a word’s predictability and its morphological structure. Schwa is less reduced in words that are more predictable given the following word. In addition, schwa may be longer if the syllable forms a prefix, and in prefixes the duration of schwa is positively correlated with the frequency of the word relative to its stem. Our results suggest that the conditions which favor reduced realizations are more complex than one would expect on the basis of the current literature.
  • Hanulikova, A., & Weber, A. (2010). Production of English interdental fricatives by Dutch, German, and English speakers. In K. Dziubalska-Kołaczyk, M. Wrembel, & M. Kul (Eds.), Proceedings of the 6th International Symposium on the Acquisition of Second Language Speech, New Sounds 2010, Poznań, Poland, 1-3 May 2010 (pp. 173-178). Poznan: Adam Mickiewicz University.

    Abstract

    Non-native (L2) speakers of English often experience difficulties in producing English interdental fricatives (e.g. the voiceless [θ]), and this leads to frequent substitutions of these fricatives (e.g. with [t], [s], and [f]). Differences in the choice of [θ]-substitutions across L2 speakers with different native (L1) language backgrounds have been extensively explored. However, even within one foreign accent, more than one substitution choice occurs, but this has been less systematically studied. Furthermore, little is known about whether the substitutions of voiceless [θ] are phonetically clear instances of [t], [s], and [f], as they are often labelled. In this study, we attempted a phonetic approach to examine language-specific preferences for [θ]-substitutions by carrying out acoustic measurements of L1 and L2 realizations of these sounds. To this end, we collected a corpus of spoken English with L1 speakers (UK-English), and Dutch and German L2 speakers. We show a) that the distribution of differential substitutions using identical materials differs between Dutch and German L2 speakers, b) that [t,s,f]-substitutes differ acoustically from intended [t,s,f], and c) that L2 productions of [θ] are acoustically comparable to L1 productions.
  • Hintz, F., & Meyer, A. S. (Eds.). (2024). Individual differences in language skills [Special Issue]. Journal of Cognition, 7(1).
  • Jasmin, K., & Casasanto, D. (2010). Stereotyping: How the QWERTY keyboard shapes the mental lexicon [Abstract]. In Proceedings of the 16th Annual Conference on Architectures and Mechanisms for Language Processing [AMLaP 2010] (pp. 159). York: University of York.
  • Jesse, A., Reinisch, E., & Nygaard, L. C. (2010). Learning of adjectival word meaning through tone of voice [Abstract]. Journal of the Acoustical Society of America, 128, 2475.

    Abstract

    Speakers express word meaning through systematic but non-canonical acoustic variation of tone of voice (ToV), i.e., variation of speaking rate, pitch, vocal effort, or loudness. Words are, for example, pronounced at a higher pitch when referring to small than to big referents. In the present study, we examined whether listeners can use ToV to learn the meaning of novel adjectives (e.g., “blicket”). During training, participants heard sentences such as “Can you find the blicket one?” spoken with ToV representing hot-cold, strong-weak, and big-small. Participants’ eye movements to two simultaneously shown objects with properties representing the relevant two endpoints (e.g., an elephant and an ant for big-small) were monitored. Assignment of novel adjectives to endpoints was counterbalanced across participants. During test, participants heard the sentences spoken with a neutral ToV, while seeing old or novel picture pairs varying along the same dimensions (e.g., a truck and a car for big-small). Participants had to click on the adjective’s referent. As evident from eye movements, participants did not infer the intended meaning during first exposure, but learned the meaning with the help of ToV during training. At test listeners applied this knowledge to old and novel items even in the absence of informative ToV.
  • 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.
  • Junge, C., Hagoort, P., Kooijman, V., & Cutler, A. (2010). Brain potentials for word segmentation at seven months predict later language development. In K. Franich, K. M. Iserman, & L. L. Keil (Eds.), Proceedings of the 34th Annual Boston University Conference on Language Development. Volume 1 (pp. 209-220). Somerville, MA: Cascadilla Press.
  • Junge, C., Cutler, A., & Hagoort, P. (2010). Ability to segment words from speech as a precursor of later language development: Insights from electrophysiological responses in the infant brain. In M. Burgess, J. Davey, C. Don, & T. McMinn (Eds.), Proceedings of 20th International Congress on Acoustics, ICA 2010. Incorporating Proceedings of the 2010 annual conference of the Australian Acoustical Society (pp. 3727-3732). Australian Acoustical Society, NSW Division.
  • Kempen, G., & Harbusch, K. (1998). A 'tree adjoining' grammar without adjoining: The case of scrambling in German. In Fourth International Workshop on Tree Adjoining Grammars and Related Frameworks (TAG+4).
  • Kempen, G. (1996). Human language technology can modernize writing and grammar instruction. In COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2 (pp. 1005-1006). Stroudsburg, PA: Association for Computational Linguistics.
  • Kempen, G., & Hoenkamp, E. (1982). Incremental sentence generation: Implications for the structure of a syntactic processor. In J. Horecký (Ed.), COLING 82. Proceedings of the Ninth International Conference on Computational Linguistics, Prague, July 5-10, 1982 (pp. 151-156). Amsterdam: North-Holland.

    Abstract

    Human speakers often produce sentences incrementally. They can start speaking having in mind only a fragmentary idea of what they want to say, and while saying this they refine the contents underlying subsequent parts of the utterance. This capability imposes a number of constraints on the design of a syntactic processor. This paper explores these constraints and evaluates some recent computational sentence generators from the perspective of incremental production.
  • Kempen, G., & Janssen, S. (1996). Omspellen: Reuze(n)karwei of peule(n)schil? In H. Croll, & J. Creutzberg (Eds.), Proceedings of the 5e Dag van het Document (pp. 143-146). Projectbureau Croll en Creutzberg.
  • Kemps-Snijders, M., Koller, T., Sloetjes, H., & Verweij, H. (2010). LAT bridge: Bridging tools for annotation and exploration of rich linguistic data. In N. Calzolari, B. Maegaard, J. Mariani, J. Odjik, K. Choukri, S. Piperidis, M. Rosner, & D. Tapias (Eds.), Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10) (pp. 2648-2651). European Language Resources Association (ELRA).

    Abstract

    We present a software module, the LAT Bridge, which enables bidirectionalcommunication between the annotation and exploration tools developed at the MaxPlanck Institute for Psycholinguistics as part of our Language ArchivingTechnology (LAT) tool suite. These existing annotation and exploration toolsenable the annotation, enrichment, exploration and archive management oflinguistic resources. The user community has expressed the desire to usedifferent combinations of LAT tools in conjunction with each other. The LATBridge is designed to cater for a number of basic data interaction scenariosbetween the LAT annotation and exploration tools. These interaction scenarios(e.g. bootstrapping a wordlist, searching for annotation examples or lexicalentries) have been identified in collaboration with researchers at ourinstitute.We had to take into account that the LAT tools for annotation and explorationrepresent a heterogeneous application scenario with desktop-installed andweb-based tools. Additionally, the LAT Bridge has to work in situations wherethe Internet is not available or only in an unreliable manner (i.e. with a slowconnection or with frequent interruptions). As a result, the LAT Bridge’sarchitecture supports both online and offline communication between the LATannotation and exploration tools.
  • Khetarpal, N., Majid, A., Malt, B. C., Sloman, S., & Regier, T. (2010). Similarity judgments reflect both language and cross-language tendencies: Evidence from two semantic domains. In S. Ohlsson, & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 358-363). Austin, TX: Cognitive Science Society.

    Abstract

    Many theories hold that semantic variation in the world’s languages can be explained in terms of a universal conceptual space that is partitioned differently by different languages. Recent work has supported this view in the semantic domain of containers (Malt et al., 1999), and assumed it in the domain of spatial relations (Khetarpal et al., 2009), based in both cases on similarity judgments derived from pile-sorting of stimuli. Here, we reanalyze data from these two studies and find a more complex picture than these earlier studies suggested. In both cases we find that sorting is similar across speakers of different languages (in line with the earlier studies), but nonetheless reflects the sorter’s native language (in contrast with the earlier studies). We conclude that there are cross-culturally shared conceptual tendencies that can be revealed by pile-sorting, but that these tendencies may be modulated to some extent by language. We discuss the implications of these findings for accounts of semantic variation.
  • Kita, S., Ozyurek, A., Allen, S., & Ishizuka, T. (2010). Early links between iconic gestures and sound symbolic words: Evidence for multimodal protolanguage. In A. D. Smith, M. Schouwstra, B. de Boer, & K. Smith (Eds.), Proceedings of the 8th International conference on the Evolution of Language (EVOLANG 8) (pp. 429-430). Singapore: World Scientific.
  • Kita, S., van Gijn, I., & van der Hulst, H. (1998). Movement phases in signs and co-speech gestures, and their transcription by human coders. In Gesture and Sign-Language in Human-Computer Interaction (Lecture Notes in Artificial Intelligence - LNCS Subseries, Vol. 1371) (pp. 23-35). Berlin, Germany: Springer-Verlag.

    Abstract

    The previous literature has suggested that the hand movement in co-speech gestures and signs consists of a series of phases with qualitatively different dynamic characteristics. In this paper, we propose a syntagmatic rule system for movement phases that applies to both co-speech gestures and signs. Descriptive criteria for the rule system were developed for the analysis video-recorded continuous production of signs and gesture. It involves segmenting a stream of body movement into phases and identifying different phase types. Two human coders used the criteria to analyze signs and cospeech gestures that are produced in natural discourse. It was found that the criteria yielded good inter-coder reliability. These criteria can be used for the technology of automatic recognition of signs and co-speech gestures in order to segment continuous production and identify the potentially meaningbearing phase.
  • Klein, W., & Winkler, S. (Eds.). (2010). Ambiguität [Special Issue]. Zeitschrift für Literaturwissenschaft und Linguistik, 40(158).
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  • Klein, W. (Ed.). (1992). Textlinguistik [Special Issue]. Zeitschrift für Literaturwissenschaft und Linguistik, (86).
  • Klein, W., & Schlieben-Lange, B. (Eds.). (1996). Sprache und Subjektivität I [Special Issue]. Zeitschrift für Literaturwissenschaft und Linguistik, (101).
  • Klein, W., & Schlieben-Lange, B. (Eds.). (1996). Sprache und Subjektivität II [Special Issue]. Zeitschrift für Literaturwissenschaft und Linguistik, (102).
  • Klein, W. (Ed.). (1986). Sprachverfall [Special Issue]. Zeitschrift für Literaturwissenschaft und Linguistik, (62).
  • Klein, W. (Ed.). (1996). Zweitspracherwerb [Special Issue]. Zeitschrift für Literaturwissenschaft und Linguistik, (104).
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  • Kuijpers, C., Van Donselaar, W., & Cutler, A. (1996). Phonological variation: Epenthesis and deletion of schwa in Dutch. In H. T. Bunnell (Ed.), Proceedings of the Fourth International Conference on Spoken Language Processing: Vol. 1 (pp. 94-97). New York: Institute of Electrical and Electronics Engineers.

    Abstract

    Two types of phonological variation in Dutch, resulting from optional rules, are schwa epenthesis and schwa deletion. In a lexical decision experiment it was investigated whether the phonological variants were processed similarly to the standard forms. It was found that the two types of variation patterned differently. Words with schwa epenthesis were processed faster and more accurately than the standard forms, whereas words with schwa deletion led to less fast and less accurate responses. The results are discussed in relation to the role of consonant-vowel alternations in speech processing and the perceptual integrity of onset clusters.
  • Kung, C., Chwilla, D. J., Gussenhoven, C., Bögels, S., & Schriefers, H. (2010). What did you say just now, bitterness or wife? An ERP study on the interaction between tone, intonation and context in Cantonese Chinese. In Proceedings of Speech Prosody 2010 (pp. 1-4).

    Abstract

    Previous studies on Cantonese Chinese showed that rising
    question intonation contours on low-toned words lead to
    frequent misperceptions of the tones. Here we explored the
    processing consequences of this interaction between tone and
    intonation by comparing the processing and identification of
    monosyllabic critical words at the end of questions and
    statements, using a tone identification task, and ERPs as an
    online measure of speech comprehension. Experiment 1
    yielded higher error rates for the identification of low tones at
    the end of questions and a larger N400-P600 pattern, reflecting
    processing difficulty and reanalysis, compared to other
    conditions. In Experiment 2, we investigated the effect of
    immediate lexical context on the tone by intonation interaction.
    Increasing contextual constraints led to a reduction in errors
    and the disappearance of the P600 effect. These results
    indicate that there is an immediate interaction between tone,
    intonation, and context in online speech comprehension. The
    difference in performance and activation patterns between the
    two experiments highlights the significance of context in
    understanding a tone language, like Cantonese-Chinese.
  • Lai, J., & Poletiek, F. H. (2010). The impact of starting small on the learnability of recursion. In S. Ohlsson, & R. Catrambone (Eds.), Proceedings of the 32rd Annual Conference of the Cognitive Science Society (CogSci 2010) (pp. 1387-1392). Austin, TX, USA: Cognitive Science Society.
  • 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.
  • Lecumberri, M. L. G., Cooke, M., & Cutler, A. (Eds.). (2010). Non-native speech perception in adverse conditions [Special Issue]. Speech Communication, 52(11/12).
  • De León, L., & Levinson, S. C. (Eds.). (1992). Space in Mesoamerican languages [Special Issue]. Zeitschrift für Phonetik, Sprachwissenschaft und Kommunikationsforschung, 45(6).
  • Levelt, W. J. M., & Plomp, K. (1968). The appreciation of musical intervals. In J. M. M. Aler (Ed.), Proceedings of the fifth International Congress of Aesthetics, Amsterdam 1964 (pp. 901-904). The Hague: Mouton.
  • 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.

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  • 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.
  • Mazzone, M., & Campisi, E. (2010). Embodiment, metafore, comunicazione. In G. P. Storari, & E. Gola (Eds.), Forme e formalizzazioni. Atti del XVI congresso nazionale. Cagliari: CUEC.
  • Mazzone, M., & Campisi, E. (2010). Are there communicative intentions? In L. A. Pérez Miranda, & A. I. Madariaga (Eds.), Advances in cognitive science. IWCogSc-10. Proceedings of the ILCLI International Workshop on Cognitive Science Workshop on Cognitive Science (pp. 307-322). Bilbao, Spain: The University of the Basque Country.

    Abstract

    Grice in pragmatics and Levelt in psycholinguistics have proposed models of human communication where the starting point of communicative action is an individual intention. This assumption, though, has to face serious objections with regard to the alleged existence of explicit representations of the communicative goals to be pursued. Here evidence is surveyed which shows that in fact speaking may ordinarily be a quite automatic activity prompted by contextual cues and driven by behavioural schemata abstracted away from social regularities. On the one hand, this means that there could exist no intentions in the sense of explicit representations of communicative goals, following from deliberate reasoning and triggering the communicative action. On the other hand, however, there are reasons to allow for a weaker notion of intention than this, according to which communication is an intentional affair, after all. Communicative action is said to be intentional in this weaker sense to the extent that it is subject to a double mechanism of control, with respect both to present-directed and future-directed intentions.
  • McQueen, J. M., & Cutler, A. (1998). Spotting (different kinds of) words in (different kinds of) context. In R. Mannell, & J. Robert-Ribes (Eds.), Proceedings of the Fifth International Conference on Spoken Language Processing: Vol. 6 (pp. 2791-2794). Sydney: ICSLP.

    Abstract

    The results of a word-spotting experiment are presented in which Dutch listeners tried to spot different types of bisyllabic Dutch words embedded in different types of nonsense contexts. Embedded verbs were not reliably harder to spot than embedded nouns; this suggests that nouns and verbs are recognised via the same basic processes. Iambic words were no harder to spot than trochaic words, suggesting that trochaic words are not in principle easier to recognise than iambic words. Words were harder to spot in consonantal contexts (i.e., contexts which themselves could not be words) than in longer contexts which contained at least one vowel (i.e., contexts which, though not words, were possible words of Dutch). A control experiment showed that this difference was not due to acoustic differences between the words in each context. The results support the claim that spoken-word recognition is sensitive to the viability of sound sequences as possible words.
  • McQueen, J. M., & Cutler, A. (1992). Words within words: Lexical statistics and lexical access. In J. Ohala, T. Neary, & B. Derwing (Eds.), Proceedings of the Second International Conference on Spoken Language Processing: Vol. 1 (pp. 221-224). Alberta: University of Alberta.

    Abstract

    This paper presents lexical statistics on the pattern of occurrence of words embedded in other words. We report the results of an analysis of 25000 words, varying in length from two to six syllables, extracted from a phonetically-coded English dictionary (The Longman Dictionary of Contemporary English). Each syllable, and each string of syllables within each word was checked against the dictionary. Two analyses are presented: the first used a complete list of polysyllables, with look-up on the entire dictionary; the second used a sublist of content words, counting only embedded words which were themselves content words. The results have important implications for models of human speech recognition. The efficiency of these models depends, in different ways, on the number and location of words within words.
  • 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.
  • 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.
  • Munro, R., Bethard, S., Kuperman, V., Lai, V. T., Melnick, R., Potts, C., Schnoebelen, T., & Tily, H. (2010). Crowdsourcing and language studies: The new generation of linguistic data. In Workshop on Creating Speech and Language Data with Amazon’s Mechanical Turk. Proceedings of the Workshop (pp. 122-130). Stroudsburg, PA: Association for Computational Linguistics.
  • Norris, D., Van Ooijen, B., & Cutler, A. (1992). Speeded detection of vowels and steady-state consonants. In J. Ohala, T. Neary, & B. Derwing (Eds.), Proceedings of the Second International Conference on Spoken Language Processing; Vol. 2 (pp. 1055-1058). Alberta: University of Alberta.

    Abstract

    We report two experiments in which vowels and steady-state consonants served as targets in a speeded detection task. In the first experiment, two vowels were compared with one voiced and once unvoiced fricative. Response times (RTs) to the vowels were longer than to the fricatives. The error rate was higher for the consonants. Consonants in word-final position produced the shortest RTs, For the vowels, RT correlated negatively with target duration. In the second experiment, the same two vowel targets were compared with two nasals. This time there was no significant difference in RTs, but the error rate was still significantly higher for the consonants. Error rate and length correlated negatively for the vowels only. We conclude that RT differences between phonemes are independent of vocalic or consonantal status. Instead, we argue that the process of phoneme detection reflects more finely grained differences in acoustic/articulatory structure within the phonemic repertoire.
  • Otake, T., McQueen, J. M., & Cutler, A. (2010). Competition in the perception of spoken Japanese words. In Proceedings of the 11th Annual Conference of the International Speech Communication Association (Interspeech 2010), Makuhari, Japan (pp. 114-117).

    Abstract

    Japanese listeners detected Japanese words embedded at the end of nonsense sequences (e.g., kaba 'hippopotamus' in gyachikaba). When the final portion of the preceding context together with the initial portion of the word (e.g., here, the sequence chika) was compatible with many lexical competitors, recognition of the embedded word was more difficult than when such a sequence was compatible with few competitors. This clear effect of competition, established here for preceding context in Japanese, joins similar demonstrations, in other languages and for following contexts, to underline that the functional architecture of the human spoken-word recognition system is a universal one.
  • Ozyurek, A. (1998). An analysis of the basic meaning of Turkish demonstratives in face-to-face conversational interaction. In S. Santi, I. Guaitella, C. Cave, & G. Konopczynski (Eds.), Oralite et gestualite: Communication multimodale, interaction: actes du colloque ORAGE 98 (pp. 609-614). Paris: L'Harmattan.
  • Ozyurek, A. (2010). The role of iconic gestures in production and comprehension of language: Evidence from brain and behavior. In S. Kopp, & I. Wachsmuth (Eds.), Gesture in embodied communication and human-computer interaction: 8th International Gesture Workshop, GW 2009, Bielefeld, Germany, February 25-27 2009. Revised selected papers (pp. 1-10). Berlin: Springer.
  • 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.
  • Reinisch, E., Jesse, A., & Nygaard, L. C. (2010). Tone of voice helps learning the meaning of novel adjectives [Abstract]. In Proceedings of the 16th Annual Conference on Architectures and Mechanisms for Language Processing [AMLaP 2010] (pp. 114). York: University of York.

    Abstract

    To understand spoken words listeners have to cope with seemingly meaningless variability in the speech signal. Speakers vary, for example, their tone of voice (ToV) by changing speaking rate, pitch, vocal effort, and loudness. This variation is independent of "linguistic prosody" such as sentence intonation or speech rhythm. The variation due to ToV, however, is not random. Speakers use, for example, higher pitch when referring to small objects than when referring to large objects and importantly, adult listeners are able to use these non-lexical ToV cues to distinguish between the meanings of antonym pairs (e.g., big-small; Nygaard, Herold, & Namy, 2009). In the present study, we asked whether listeners infer the meaning of novel adjectives from ToV and subsequently interpret these adjectives according to the learned meaning even in the absence of ToV. Moreover, if listeners actually acquire these adjectival meanings, then they should generalize these word meanings to novel referents. ToV would thus be a semantic cue to lexical acquisition. This hypothesis was tested in an exposure-test paradigm with adult listeners. In the experiment listeners' eye movements to picture pairs were monitored. The picture pairs represented the endpoints of the adjectival dimensions big-small, hot-cold, and strong-weak (e.g., an elephant and an ant represented big-small). Four picture pairs per category were used. While viewing the pictures participants listened to lexically unconstraining sentences containing novel adjectives, for example, "Can you find the foppick one?" During exposure, the sentences were spoken in infant-directed speech with the intended adjectival meaning expressed by ToV. Word-meaning pairings were counterbalanced across participants. Each word was repeated eight times. Listeners had no explicit task. To guide listeners' attention to the relation between the words and pictures, three sets of filler trials were included that contained real English adjectives (e.g., full-empty). In the subsequent test phase participants heard the novel adjectives in neutral adult-directed ToV. Test sentences were recorded before the speaker was informed about intended word meanings. Participants had to choose which of two pictures on the screen the speaker referred to. Picture pairs that were presented during the exposure phase and four new picture pairs per category that varied along the critical dimensions were tested. During exposure listeners did not spontaneously direct their gaze to the intended referent at the first presentation. But as indicated by listener's fixation behavior, they quickly learned the relationship between ToV and word meaning over only two exposures. Importantly, during test participants consistently identified the intended referent object even in the absence of informative ToV. Learning was found for all three tested categories and did not depend on whether the picture pairs had been presented during exposure. Listeners thus use ToV not only to distinguish between antonym pairs but they are able to extract word meaning from ToV and assign this meaning to novel words. The newly learned word meanings can then be generalized to novel referents even in the absence of ToV cues. These findings suggest that ToV can be used as a semantic cue to lexical acquisition. References Nygaard, L. C., Herold, D. S., & Namy, L. L. (2009) The semantics of prosody: Acoustic and perceptual evidence of prosodic correlates to word meaning. Cognitive Science, 33. 127-146.

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