Publications

Displaying 1 - 100 of 167
  • Akita, K., & Dingemanse, M. (2019). Ideophones (Mimetics, Expressives). In Oxford Research Encyclopedia for Linguistics. Oxford: Oxford University Press. doi:10.1093/acrefore/9780199384655.013.477.

    Abstract

    Ideophones, also termed “mimetics” or “expressives,” are marked words that depict sensory imagery. They are found in many of the world’s languages, and sizable lexical classes of ideophones are particularly well-documented in languages of Asia, Africa, and the Americas. Ideophones are not limited to onomatopoeia like meow and smack, but cover a wide range of sensory domains, such as manner of motion (e.g., plisti plasta ‘splish-splash’ in Basque), texture (e.g., tsaklii ‘rough’ in Ewe), and psychological states (e.g., wakuwaku ‘excited’ in Japanese). Across languages, ideophones stand out as marked words due to special phonotactics, expressive morphology including certain types of reduplication, and relative syntactic independence, in addition to production features like prosodic foregrounding and common co-occurrence with iconic gestures.

    Three intertwined issues have been repeatedly debated in the century-long literature on ideophones. (a) Definition: Isolated descriptive traditions and cross-linguistic variation have sometimes obscured a typologically unified view of ideophones, but recent advances show the promise of a prototype definition of ideophones as conventionalised depictions in speech, with room for language-specific nuances. (b) Integration: The variable integration of ideophones across linguistic levels reveals an interaction between expressiveness and grammatical integration, and has important implications for how to conceive of dependencies between linguistic systems. (c) Iconicity: Ideophones form a natural laboratory for the study of iconic form-meaning associations in natural languages, and converging evidence from corpus and experimental studies suggests important developmental, evolutionary, and communicative advantages of ideophones.
  • Alday, P. M. (2016). Towards a rigorous motivation for Ziph's law. In S. G. Roberts, C. Cuskley, L. McCrohon, L. Barceló-Coblijn, O. Feher, & T. Verhoef (Eds.), The Evolution of Language: Proceedings of the 11th International Conference (EVOLANG11). Retrieved from http://evolang.org/neworleans/papers/178.html.

    Abstract

    Language evolution can be viewed from two viewpoints: the development of a communicative system and the biological adaptations necessary for producing and perceiving said system. The communicative-system vantage point has enjoyed a wealth of mathematical models based on simple distributional properties of language, often formulated as empirical laws. However, be- yond vague psychological notions of “least effort”, no principled explanation has been proposed for the existence and success of such laws. Meanwhile, psychological and neurobiological mod- els have focused largely on the computational constraints presented by incremental, real-time processing. In the following, we show that information-theoretic entropy underpins successful models of both types and provides a more principled motivation for Zipf’s Law
  • Alhama, R. G., & Zuidema, W. (2016). Generalization in Artificial Language Learning: Modelling the Propensity to Generalize. In Proceedings of the 7th Workshop on Cognitive Aspects of Computational Language Learning (pp. 64-72). Association for Computational Linguistics. doi:10.18653/v1/W16-1909.

    Abstract

    Experiments in Artificial Language Learn-
    ing have revealed much about the cogni-
    tive mechanisms underlying sequence and
    language learning in human adults, in in-
    fants and in non-human animals. This pa-
    per focuses on their ability to generalize
    to novel grammatical instances (i.e., in-
    stances consistent with a familiarization
    pattern). Notably, the propensity to gen-
    eralize appears to be negatively correlated
    with the amount of exposure to the artifi-
    cial language, a fact that has been claimed
    to be contrary to the predictions of statis-
    tical models (Pe
    ̃
    na et al. (2002); Endress
    and Bonatti (2007)). In this paper, we pro-
    pose to model generalization as a three-
    step process, and we demonstrate that the
    use of statistical models for the first two
    steps, contrary to widespread intuitions in
    the ALL-field, can explain the observed
    decrease of the propensity to generalize
    with exposure time.
  • Alhama, R. G., & Zuidema, W. (2016). Pre-Wiring and Pre-Training: What does a neural network need to learn truly general identity rules? In T. R. Besold, A. Bordes, & A. D'Avila Garcez (Eds.), CoCo 2016 Cognitive Computation: Proceedings of the Workshop on Cognitive Computation: Integrating neural and symbolic approaches 2016. CEUR Workshop Proceedings.

    Abstract

    In an influential paper, Marcus et al. [1999] claimed that connectionist models
    cannot account for human success at learning tasks that involved generalization
    of abstract knowledge such as grammatical rules. This claim triggered a heated
    debate, centered mostly around variants of the Simple Recurrent Network model
    [Elman, 1990]. In our work, we revisit this unresolved debate and analyze the
    underlying issues from a different perspective. We argue that, in order to simulate
    human-like learning of grammatical rules, a neural network model should not be
    used as a
    tabula rasa
    , but rather, the initial wiring of the neural connections and
    the experience acquired prior to the actual task should be incorporated into the
    model. We present two methods that aim to provide such initial state: a manipu-
    lation of the initial connections of the network in a cognitively plausible manner
    (concretely, by implementing a “delay-line” memory), and a pre-training algorithm
    that incrementally challenges the network with novel stimuli. We implement such
    techniques in an Echo State Network [Jaeger, 2001], and we show that only when
    combining both techniques the ESN is able to learn truly general identity rules.
  • Alhama, R. G., Siegelman, N., Frost, R., & Armstrong, B. C. (2019). The role of information in visual word recognition: A perceptually-constrained connectionist account. In A. Goel, C. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Meeting of the Cognitive Science Society (CogSci 2019) (pp. 83-89). Austin, TX: Cognitive Science Society.

    Abstract

    Proficient readers typically fixate near the center of a word, with a slight bias towards word onset. We explore a novel account of this phenomenon based on combining information-theory with visual perceptual constraints in a connectionist model of visual word recognition. This account posits that the amount of information-content available for word identification varies across fixation locations and across languages, thereby explaining the overall fixation location bias in different languages, making the novel prediction that certain words are more readily identified when fixating at an atypical fixation location, and predicting specific cross-linguistic differences. We tested these predictions across several simulations in English and Hebrew, and in a pilot behavioral experiment. Results confirmed that the bias to fixate closer to word onset aligns with maximizing information in the visual signal, that some words are more readily identified at atypical fixation locations, and that these effects vary to some degree across languages.
  • Azar, Z., Backus, A., & Ozyurek, A. (2016). Pragmatic relativity: Gender and context affect the use of personal pronouns in discourse differentially across languages. In A. Papafragou, D. Grodner, D. Mirman, & J. Trueswell (Eds.), Proceedings of the 38th Annual Meeting of the Cognitive Science Society (CogSci 2016) (pp. 1295-1300). Austin, TX: Cognitive Science Society.

    Abstract

    Speakers use differential referring expressions in pragmatically appropriate ways to produce coherent narratives. Languages, however, differ in a) whether REs as arguments can be dropped and b) whether personal pronouns encode gender. We examine two languages that differ from each other in these two aspects and ask whether the co-reference context and the gender encoding options affect the use of REs differentially. We elicited narratives from Dutch and Turkish speakers about two types of three-person events, one including people of the same and the other of mixed-gender. Speakers re-introduced referents into the discourse with fuller forms (NPs) and maintained them with reduced forms (overt or null pronoun). Turkish speakers used pronouns mainly to mark emphasis and only Dutch speakers used pronouns differentially across the two types of videos. We argue that linguistic possibilities available in languages tune speakers into taking different principles into account to produce pragmatically coherent narratives
  • Badimala, P., Mishra, C., Venkataramana, R. K. M., Bukhari, S. S., & Dengel, A. (2019). A Study of Various Text Augmentation Techniques for Relation Classification in Free Text. In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods (pp. 360-367). Setúbal, Portugal: SciTePress Digital Library. doi:10.5220/0007311003600367.

    Abstract

    Data augmentation techniques have been widely used in visual recognition tasks as it is easy to generate new
    data by simple and straight forward image transformations. However, when it comes to text data augmen-
    tations, it is difficult to find appropriate transformation techniques which also preserve the contextual and
    grammatical structure of language texts. In this paper, we explore various text data augmentation techniques
    in text space and word embedding space. We study the effect of various augmented datasets on the efficiency
    of different deep learning models for relation classification in text.
  • Bauer, B. L. M. (2016). The development of the comparative in Latin texts. In J. N. Adams, & N. Vincent (Eds.), Early and late Latin. Continuity or change? (pp. 313-339). Cambridge: Cambridge University Press.
  • Bentum, M., Ten Bosch, L., Van den Bosch, A., & Ernestus, M. (2019). Listening with great expectations: An investigation of word form anticipations in naturalistic speech. In Proceedings of Interspeech 2019 (pp. 2265-2269). doi:10.21437/Interspeech.2019-2741.

    Abstract

    The event-related potential (ERP) component named phonological mismatch negativity (PMN) arises when listeners hear an unexpected word form in a spoken sentence [1]. The PMN is thought to reflect the mismatch between expected and perceived auditory speech input. In this paper, we use the PMN to test a central premise in the predictive coding framework [2], namely that the mismatch between prior expectations and sensory input is an important mechanism of perception. We test this with natural speech materials containing approximately 50,000 word tokens. The corresponding EEG-signal was recorded while participants (n = 48) listened to these materials. Following [3], we quantify the mismatch with two word probability distributions (WPD): a WPD based on preceding context, and a WPD that is additionally updated based on the incoming audio of the current word. We use the between-WPD cross entropy for each word in the utterances and show that a higher cross entropy correlates with a more negative PMN. Our results show that listeners anticipate auditory input while processing each word in naturalistic speech. Moreover, complementing previous research, we show that predictive language processing occurs across the whole probability spectrum.
  • Bentum, M., Ten Bosch, L., Van den Bosch, A., & Ernestus, M. (2019). Quantifying expectation modulation in human speech processing. In Proceedings of Interspeech 2019 (pp. 2270-2274). doi:10.21437/Interspeech.2019-2685.

    Abstract

    The mismatch between top-down predicted and bottom-up perceptual input is an important mechanism of perception according to the predictive coding framework (Friston, [1]). In this paper we develop and validate a new information-theoretic measure that quantifies the mismatch between expected and observed auditory input during speech processing. We argue that such a mismatch measure is useful for the study of speech processing. To compute the mismatch measure, we use naturalistic speech materials containing approximately 50,000 word tokens. For each word token we first estimate the prior word probability distribution with the aid of statistical language modelling, and next use automatic speech recognition to update this word probability distribution based on the unfolding speech signal. We validate the mismatch measure with multiple analyses, and show that the auditory-based update improves the probability of the correct word and lowers the uncertainty of the word probability distribution. Based on these results, we argue that it is possible to explicitly estimate the mismatch between predicted and perceived speech input with the cross entropy between word expectations computed before and after an auditory update.
  • Bergmann, C., Cristia, A., & Dupoux, E. (2016). Discriminability of sound contrasts in the face of speaker variation quantified. In Proceedings of the 38th Annual Conference of the Cognitive Science Society. (pp. 1331-1336). Austin, TX: Cognitive Science Society.

    Abstract

    How does a naive language learner deal with speaker variation irrelevant to distinguishing word meanings? Experimental data is contradictory, and incompatible models have been proposed. Here, we examine basic assumptions regarding the acoustic signal the learner deals with: Is speaker variability a hurdle in discriminating sounds or can it easily be ignored? To this end, we summarize existing infant data. We then present machine-based discriminability scores of sound pairs obtained without any language knowledge. Our results show that speaker variability decreases sound contrast discriminability, and that some contrasts are affected more than others. However, chance performance is rare; most contrasts remain discriminable in the face of speaker variation. We take our results to mean that speaker variation is not a uniform hurdle to discriminating sound contrasts, and careful examination is necessary when planning and interpreting studies testing whether and to what extent infants (and adults) are sensitive to speaker differences.

    Additional information

    Scripts and data
  • Bosker, H. R., Reinisch, E., & Sjerps, M. J. (2016). Listening under cognitive load makes speech sound fast. In H. van den Heuvel, B. Cranen, & S. Mattys (Eds.), Proceedings of the Speech Processing in Realistic Environments [SPIRE] Workshop (pp. 23-24). Groningen.
  • Bosker, H. R. (2016). Our own speech rate influences speech perception. In J. Barnes, A. Brugos, S. Stattuck-Hufnagel, & N. Veilleux (Eds.), Proceedings of Speech Prosody 2016 (pp. 227-231).

    Abstract

    During conversation, spoken utterances occur in rich acoustic contexts, including speech produced by our interlocutor(s) and speech we produced ourselves. Prosodic characteristics of the acoustic context have been known to influence speech perception in a contrastive fashion: for instance, a vowel presented in a fast context is perceived to have a longer duration than the same vowel in a slow context. Given the ubiquity of the sound of our own voice, it may be that our own speech rate - a common source of acoustic context - also influences our perception of the speech of others. Two experiments were designed to test this hypothesis. Experiment 1 replicated earlier contextual rate effects by showing that hearing pre-recorded fast or slow context sentences alters the perception of ambiguous Dutch target words. Experiment 2 then extended this finding by showing that talking at a fast or slow rate prior to the presentation of the target words also altered the perception of those words. These results suggest that between-talker variation in speech rate production may induce between-talker variation in speech perception, thus potentially explaining why interlocutors tend to converge on speech rate in dialogue settings.

    Additional information

    pdf via conference website227
  • Brehm, L., Jackson, C. N., & Miller, K. L. (2019). Incremental interpretation in the first and second language. In M. Brown, & B. Dailey (Eds.), BUCLD 43: Proceedings of the 43rd annual Boston University Conference on Language Development (pp. 109-122). Sommerville, MA: Cascadilla Press.
  • Bruggeman, L., & Cutler, A. (2019). The dynamics of lexical activation and competition in bilinguals’ first versus second language. In S. Calhoun, P. Escudero, M. Tabain, & P. Warren (Eds.), Proceedings of the 19th International Congress of Phonetic Sciences (ICPhS 20195) (pp. 1342-1346). Canberra, Australia: Australasian Speech Science and Technology Association Inc.

    Abstract

    Speech input causes listeners to activate multiple
    candidate words which then compete with one
    another. These include onset competitors, that share a
    beginning (bumper, butter), but also, counterintuitively,
    rhyme competitors, sharing an ending
    (bumper, jumper). In L1, competition is typically
    stronger for onset than for rhyme. In L2, onset
    competition has been attested but rhyme competition
    has heretofore remained largely unexamined. We
    assessed L1 (Dutch) and L2 (English) word
    recognition by the same late-bilingual individuals. In
    each language, eye gaze was recorded as listeners
    heard sentences and viewed sets of drawings: three
    unrelated, one depicting an onset or rhyme competitor
    of a word in the input. Activation patterns revealed
    substantial onset competition but no significant
    rhyme competition in either L1 or L2. Rhyme
    competition may thus be a “luxury” feature of
    maximally efficient listening, to be abandoned when
    resources are scarcer, as in listening by late
    bilinguals, in either language.
  • Bruggeman, L., & Cutler, A. (2016). Lexical manipulation as a discovery tool for psycholinguistic research. In C. Carignan, & M. D. Tyler (Eds.), Proceedings of the 16th Australasian International Conference on Speech Science and Technology (SST2016) (pp. 313-316).
  • Burenhult, N., & Kruspe, N. (2016). The language of eating and drinking: A window on Orang Asli meaning-making. In K. Endicott (Ed.), Malaysia’s original people: Past, present and future of the Orang Asli (pp. 175-199). Singapore: National University of Singapore Press.
  • Burenkova, O. V., & Fisher, S. E. (2019). Genetic insights into the neurobiology of speech and language. In E. Grigorenko, Y. Shtyrov, & P. McCardle (Eds.), All About Language: Science, Theory, and Practice. Baltimore, MD: Paul Brookes Publishing, Inc.
  • Clark, E. V., & Casillas, M. (2016). First language acquisition. In K. Allen (Ed.), The Routledge Handbook of Linguistics (pp. 311-328). New York: Routledge.
  • Croijmans, I., & Majid, A. (2016). Language does not explain the wine-specific memory advantage of wine experts. In A. Papafragou, D. Grodner, D. Mirman, & J. Trueswell (Eds.), Proceedings of the 38th Annual Meeting of the Cognitive Science Society (CogSci 2016) (pp. 141-146). Austin, TX: Cognitive Science Society.

    Abstract

    Although people are poor at naming odors, naming a smell helps to remember that odor. Previous studies show wine experts have better memory for smells, and they also name smells differently than novices. Is wine experts’ odor memory is verbally mediated? And is the odor memory advantage that experts have over novices restricted to odors in their domain of expertise, or does it generalize? Twenty-four wine experts and 24 novices smelled wines, wine-related odors and common odors, and remembered these. Half the participants also named the smells. Wine experts had better memory for wines, but not for the other odors, indicating their memory advantage is restricted to wine. Wine experts named odors better than novices, but there was no relationship between experts’ ability to name odors and their memory for odors. This suggests experts’ odor memory advantage is not linguistically mediated, but may be the result of differential perceptual learning
  • Cutler, A., Burchfield, A., & Antoniou, M. (2019). A criterial interlocutor tally for successful talker adaptation? In S. Calhoun, P. Escudero, M. Tabain, & P. Warren (Eds.), Proceedings of the 19th International Congress of Phonetic Sciences (ICPhS 20195) (pp. 1485-1489). Canberra, Australia: Australasian Speech Science and Technology Association Inc.

    Abstract

    Part of the remarkable efficiency of listening is
    accommodation to unfamiliar talkers’ specific
    pronunciations by retuning of phonemic intercategory
    boundaries. Such retuning occurs in second
    (L2) as well as first language (L1); however, recent
    research with emigrés revealed successful adaptation
    in the environmental L2 but, unprecedentedly, not in
    L1 despite continuing L1 use. A possible explanation
    involving relative exposure to novel talkers is here
    tested in heritage language users with Mandarin as
    family L1 and English as environmental language. In
    English, exposure to an ambiguous sound in
    disambiguating word contexts prompted the expected
    adjustment of phonemic boundaries in subsequent
    categorisation. However, no adjustment occurred in
    Mandarin, again despite regular use. Participants
    reported highly asymmetric interlocutor counts in the
    two languages. We conclude that successful retuning
    ability requires regular exposure to novel talkers in
    the language in question, a criterion not met for the
    emigrés’ or for these heritage users’ L1.
  • Ip, M., & Cutler, A. (2016). Cross-language data on five types of prosodic focus. In J. Barnes, A. Brugos, S. Shattuck-Hufnagel, & N. Veilleux (Eds.), Proceedings of Speech Prosody 2016 (pp. 330-334).

    Abstract

    To examine the relative roles of language-specific and language-universal mechanisms in the production of prosodic focus, we compared production of five different types of focus by native speakers of English and Mandarin. Two comparable dialogues were constructed for each language, with the same words appearing in focused and unfocused position; 24 speakers recorded each dialogue in each language. Duration, F0 (mean, maximum, range), and rms-intensity (mean, maximum) of all critical word tokens were measured. Across the different types of focus, cross-language differences were observed in the degree to which English versus Mandarin speakers use the different prosodic parameters to mark focus, suggesting that while prosody may be universally available for expressing focus, the means of its employment may be considerably language-specific
  • Dediu, D., & Moisik, S. (2016). Defining and counting phonological classes in cross-linguistic segment databases. In N. Calzolari, K. Choukri, T. Declerck, S. Goggi, M. Grobelnik, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk, & S. Piperidis (Eds.), Proceedings of LREC 2016: 10th International Conference on Language Resources and Evaluation (pp. 1955-1962). Paris: European Language Resources Association (ELRA).

    Abstract

    Recently, there has been an explosion in the availability of large, good-quality cross-linguistic databases such as WALS (Dryer & Haspelmath, 2013), Glottolog (Hammarstrom et al., 2015) and Phoible (Moran & McCloy, 2014). Databases such as Phoible contain the actual segments used by various languages as they are given in the primary language descriptions. However, this segment-level representation cannot be used directly for analyses that require generalizations over classes of segments that share theoretically interesting features. Here we present a method and the associated R (R Core Team, 2014) code that allows the exible denition of such meaningful classes and that can identify the sets of segments falling into such a class for any language inventory. The method and its results are important for those interested in exploring cross-linguistic patterns of phonetic and phonological diversity and their relationship to extra-linguistic factors and processes such as climate, economics, history or human genetics.
  • Dediu, D., & Moisik, S. R. (2016). Anatomical biasing of click learning and production: An MRI and 3d palate imaging study. In S. G. Roberts, C. Cuskley, L. McCrohon, L. Barceló-Coblijn, O. Feher, & T. Verhoef (Eds.), The Evolution of Language: Proceedings of the 11th International Conference (EVOLANG11). Retrieved from http://evolang.org/neworleans/papers/57.html.

    Abstract

    The current paper presents results for data on click learning obtained from a larger imaging study (using MRI and 3D intraoral scanning) designed to quantify and characterize intra- and inter-population variation of vocal tract structures and the relation of this to speech production. The aim of the click study was to ascertain whether and to what extent vocal tract morphology influences (1) the ability to learn to produce clicks and (2) the productions of those that successfully learn to produce these sounds. The results indicate that the presence of an alveolar ridge certainly does not prevent an individual from learning to produce click sounds (1). However, the subtle details of how clicks are produced may indeed be driven by palate shape (2).
  • Devanna, P., Dediu, D., & Vernes, S. C. (2019). The Genetics of Language: From complex genes to complex communication. In S.-A. Rueschemeyer, & M. G. Gaskell (Eds.), The Oxford Handbook of Psycholinguistics (2nd ed., pp. 865-898). Oxford: Oxford University Press.

    Abstract

    This chapter discusses the genetic foundations of the human capacity for language. It reviews the molecular structure of the genome and the complex molecular mechanisms that allow genetic information to influence multiple levels of biology. It goes on to describe the active regulation of genes and their formation of complex genetic pathways that in turn control the cellular environment and function. At each of these levels, examples of genes and genetic variants that may influence the human capacity for language are given. Finally, it discusses the value of using animal models to understand the genetic underpinnings of speech and language. From this chapter will emerge the complexity of the genome in action and the multidisciplinary efforts that are currently made to bridge the gap between genetics and language.
  • Dideriksen, C., Fusaroli, R., Tylén, K., Dingemanse, M., & Christiansen, M. H. (2019). Contextualizing Conversational Strategies: Backchannel, Repair and Linguistic Alignment in Spontaneous and Task-Oriented Conversations. In A. K. Goel, C. M. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Conference of the Cognitive Science Society (CogSci 2019) (pp. 261-267). Montreal, QB: Cognitive Science Society.

    Abstract

    Do interlocutors adjust their conversational strategies to the specific contextual demands of a given situation? Prior studies have yielded conflicting results, making it unclear how strategies vary with demands. We combine insights from qualitative and quantitative approaches in a within-participant experimental design involving two different contexts: spontaneously occurring conversations (SOC) and task-oriented conversations (TOC). We systematically assess backchanneling, other-repair and linguistic alignment. We find that SOC exhibit a higher number of backchannels, a reduced and more generic repair format and higher rates of lexical and syntactic alignment. TOC are characterized by a high number of specific repairs and a lower rate of lexical and syntactic alignment. However, when alignment occurs, more linguistic forms are aligned. The findings show that conversational strategies adapt to specific contextual demands.
  • Dieuleveut, A., Van Dooren, A., Cournane, A., & Hacquard, V. (2019). Acquiring the force of modals: Sig you guess what sig means? In M. Brown, & B. Dailey (Eds.), BUCLD 43: Proceedings of the 43rd annual Boston University Conference on Language Development (pp. 189-202). Sommerville, MA: Cascadilla Press.
  • Dingemanse, M. (2019). 'Ideophone' as a comparative concept. In K. Akita, & P. Pardeshi (Eds.), Ideophones, Mimetics, and Expressives (pp. 13-33). Amsterdam: John Benjamins. doi:10.1075/ill.16.02din.

    Abstract

    This chapter makes the case for ‘ideophone’ as a comparative concept: a notion that captures a recurrent typological pattern and provides a template for understanding language-specific phenomena that prove similar. It revises an earlier definition to account for the observation that ideophones typically form an open lexical class, and uses insights from canonical typology to explore the larger typological space. According to the resulting definition, a canonical ideophone is a member of an open lexical class of marked words that depict sensory imagery. The five elements of this definition can be seen as dimensions that together generate a possibility space to characterise cross-linguistic diversity in depictive means of expression. This approach allows for the systematic comparative treatment of ideophones and ideophone-like phenomena. Some phenomena in the larger typological space are discussed to demonstrate the utility of the approach: phonaesthemes in European languages, specialised semantic classes in West-Chadic, diachronic diversions in Aslian, and depicting constructions in signed languages.
  • Doumas, L. A., & Martin, A. E. (2016). Abstraction in time: Finding hierarchical linguistic structure in a model of relational processing. In A. Papafragou, D. Grodner, D. Mirman, & J. Trueswell (Eds.), Proceedings of the 38th Annual Meeting of the Cognitive Science Society (CogSci 2016) (pp. 2279-2284). Austin, TX: Cognitive Science Society.

    Abstract

    Abstract mental representation is fundamental for human cognition. Forming such representations in time, especially from dynamic and noisy perceptual input, is a challenge for any processing modality, but perhaps none so acutely as for language processing. We show that LISA (Hummel & Holyaok, 1997) and DORA (Doumas, Hummel, & Sandhofer, 2008), models built to process and to learn structured (i.e., symbolic) rep resentations of conceptual properties and relations from unstructured inputs, show oscillatory activation during processing that is highly similar to the cortical activity elicited by the linguistic stimuli from Ding et al.(2016). We argue, as Ding et al.(2016), that this activation reflects formation of hierarchical linguistic representation, and furthermore, that the kind of computational mechanisms in LISA/DORA (e.g., temporal binding by systematic asynchrony of firing) may underlie formation of abstract linguistic representations in the human brain. It may be this repurposing that allowed for the generation or mergence of hierarchical linguistic structure, and therefore, human language, from extant cognitive and neural systems. We conclude that models of thinking and reasoning and models of language processing must be integrated —not only for increased plausiblity, but in order to advance both fields towards a larger integrative model of human cognition
  • Drozdova, P., Van Hout, R., & Scharenborg, O. (2016). Processing and adaptation to ambiguous sounds during the course of perceptual learning. In Proceedings of Interspeech 2016: The 17th Annual Conference of the International Speech Communication Association (pp. 2811-2815). doi:10.21437/Interspeech.2016-814.

    Abstract

    Listeners use their lexical knowledge to interpret ambiguous sounds, and retune their phonetic categories to include this ambiguous sound. Although there is ample evidence for lexically-guided retuning, the adaptation process is not fully understood. Using a lexical decision task with an embedded auditory semantic priming task, the present study investigates whether words containing an ambiguous sound are processed in the same way as “natural” words and whether adaptation to the ambiguous sound tends to equalize the processing of “ambiguous” and natural words. Analyses of the yes/no responses and reaction times to natural and “ambiguous” words showed that words containing an ambiguous sound were accepted as words less often and were processed slower than the same words without ambiguity. The difference in acceptance disappeared after exposure to approximately 15 ambiguous items. Interestingly, lower acceptance rates and slower processing did not have an effect on the processing of semantic information of the following word. However, lower acceptance rates of ambiguous primes predict slower reaction times of these primes, suggesting an important role of stimulus-specific characteristics in triggering lexically-guided perceptual learning.
  • Eijk, L., Ernestus, M., & Schriefers, H. (2019). Alignment of pitch and articulation rate. In S. Calhoun, P. Escudero, M. Tabain, & P. Warren (Eds.), Proceedings of the 19th International Congress of Phonetic Sciences (ICPhS 20195) (pp. 2690-2694). Canberra, Australia: Australasian Speech Science and Technology Association Inc.

    Abstract

    Previous studies have shown that speakers align their speech to each other at multiple linguistic levels. This study investigates whether alignment is mostly the result of priming from the immediately preceding
    speech materials, focussing on pitch and articulation rate (AR). Native Dutch speakers completed sentences, first by themselves (pre-test), then in alternation with Confederate 1 (Round 1), with Confederate 2 (Round 2), with Confederate 1 again
    (Round 3), and lastly by themselves again (post-test). Results indicate that participants aligned to the confederates and that this alignment lasted during the post-test. The confederates’ directly preceding sentences were not good predictors for the participants’ pitch and AR. Overall, the results indicate that alignment is more of a global effect than a local priming effect.
  • Erard, M. (2019). Language aptitude: Insights from hyperpolyglots. In Z. Wen, P. Skehan, A. Biedroń, S. Li, & R. L. Sparks (Eds.), Language aptitude: Advancing theory, testing, research and practice (pp. 153-167). Abingdon, UK: Taylor & Francis.

    Abstract

    Over the decades, high-intensity language learners scattered over the globe referred to as “hyperpolyglots” have undertaken a natural experiment into the limits of learning and acquiring proficiencies in multiple languages. This chapter details several ways in which hyperpolyglots are relevant to research on aptitude. First, historical hyperpolyglots Cardinal Giuseppe Mezzofanti, Emil Krebs, Elihu Burritt, and Lomb Kató are described in terms of how they viewed their own exceptional outcomes. Next, I draw on results from an online survey with 390 individuals to explore how contemporary hyperpolyglots consider the explanatory value of aptitude. Third, the challenges involved in studying the genetic basis of hyperpolyglottism (and by extension of language aptitude) are discussed. This mosaic of data is meant to inform the direction of future aptitude research that takes hyperpolyglots, one type of exceptional language learner and user, into account.
  • Ernestus, M. (2016). L'utilisation des corpus oraux pour la recherche en (psycho)linguistique. In M. Kilani-Schoch, C. Surcouf, & A. Xanthos (Eds.), Nouvelles technologies et standards méthodologiques en linguistique (pp. 65-93). Lausanne: Université de Lausanne.
  • Eryilmaz, K., Little, H., & De Boer, B. (2016). Using HMMs To Attribute Structure To Artificial Languages. In S. G. Roberts, C. Cuskley, L. McCrohon, L. Barceló-Coblijn, O. Feher, & T. Verhoef (Eds.), The Evolution of Language: Proceedings of the 11th International Conference (EVOLANG11). Retrieved from http://evolang.org/neworleans/papers/125.html.

    Abstract

    We investigated the use of Hidden Markov Models (HMMs) as a way of representing repertoires of continuous signals in order to infer their building blocks. We tested the idea on a dataset from an artificial language experiment. The study demonstrates using HMMs for this purpose is viable, but also that there is a lot of room for refinement such as explicit duration modeling, incorporation of autoregressive elements and relaxing the Markovian assumption, in order to accommodate specific details.
  • Felker, E. R., Ernestus, M., & Broersma, M. (2019). Evaluating dictation task measures for the study of speech perception. In S. Calhoun, P. Escudero, M. Tabain, & P. Warren (Eds.), Proceedings of the 19th International Congress of Phonetic Sciences (ICPhS 2019) (pp. 383-387). Canberra, Australia: Australasian Speech Science and Technology Association Inc.

    Abstract

    This paper shows that the dictation task, a well-
    known testing instrument in language education, has
    untapped potential as a research tool for studying
    speech perception. We describe how transcriptions
    can be scored on measures of lexical, orthographic,
    phonological, and semantic similarity to target
    phrases to provide comprehensive information about
    accuracy at different processing levels. The former
    three measures are automatically extractable,
    increasing objectivity, and the middle two are
    gradient, providing finer-grained information than
    traditionally used. We evaluate the measures in an
    English dictation task featuring phonetically reduced
    continuous speech. Whereas the lexical and
    orthographic measures emphasize listeners’ word
    identification difficulties, the phonological measure
    demonstrates that listeners can often still recover
    phonological features, and the semantic measure
    captures their ability to get the gist of the utterances.
    Correlational analyses and a discussion of practical
    and theoretical considerations show that combining
    multiple measures improves the dictation task’s
    utility as a research tool.
  • Felker, E. R., Ernestus, M., & Broersma, M. (2019). Lexically guided perceptual learning of a vowel shift in an interactive L2 listening context. In Proceedings of Interspeech 2019 (pp. 3123-3127). doi:10.21437/Interspeech.2019-1414.

    Abstract

    Lexically guided perceptual learning has traditionally been studied with ambiguous consonant sounds to which native listeners are exposed in a purely receptive listening context. To extend previous research, we investigate whether lexically guided learning applies to a vowel shift encountered by non-native listeners in an interactive dialogue. Dutch participants played a two-player game in English in either a control condition, which contained no evidence for a vowel shift, or a lexically constraining condition, in which onscreen lexical information required them to re-interpret their interlocutor’s /ɪ/ pronunciations as representing /ε/. A phonetic categorization pre-test and post-test were used to assess whether the game shifted listeners’ phonemic boundaries such that more of the /ε/-/ɪ/ continuum came to be perceived as /ε/. Both listener groups showed an overall post-test shift toward /ɪ/, suggesting that vowel perception may be sensitive to directional biases related to properties of the speaker’s vowel space. Importantly, listeners in the lexically constraining condition made relatively more post-test /ε/ responses than the control group, thereby exhibiting an effect of lexically guided adaptation. The results thus demonstrate that non-native listeners can adjust their phonemic boundaries on the basis of lexical information to accommodate a vowel shift learned in interactive conversation.
  • Filippi, P., Congdon, J. V., Hoang, J., Bowling, D. L., Reber, S., Pašukonis, A., Hoeschele, M., Ocklenburg, S., de Boer, B., Sturdy, C. B., Newen, A., & Güntürkün, O. (2016). Humans Recognize Vocal Expressions Of Emotional States Universally Across Species. In The Evolution of Language: Proceedings of the 11th International Conference (EVOLANG11). Retrieved from http://evolang.org/neworleans/papers/91.html.

    Abstract

    The perception of danger in the environment can induce physiological responses (such as a heightened state of arousal) in animals, which may cause measurable changes in the prosodic modulation of the voice (Briefer, 2012). The ability to interpret the prosodic features of animal calls as an indicator of emotional arousal may have provided the first hominins with an adaptive advantage, enabling, for instance, the recognition of a threat in the surroundings. This ability might have paved the ability to process meaningful prosodic modulations in the emerging linguistic utterances.
  • Filippi, P., Ocklenburg, S., Bowling, D. L., Heege, L., Newen, A., Güntürkün, O., & de Boer, B. (2016). Multimodal Processing Of Emotional Meanings: A Hypothesis On The Adaptive Value Of Prosody. In The Evolution of Language: Proceedings of the 11th International Conference (EVOLANG11). Retrieved from http://evolang.org/neworleans/papers/90.html.

    Abstract

    Humans combine multiple sources of information to comprehend meanings. These sources can be characterized as linguistic (i.e., lexical units and/or sentences) or paralinguistic (e.g. body posture, facial expression, voice intonation, pragmatic context). Emotion communication is a special case in which linguistic and paralinguistic dimensions can simultaneously denote the same, or multiple incongruous referential meanings. Think, for instance, about when someone says “I’m sad!”, but does so with happy intonation and a happy facial expression. Here, the communicative channels express very specific (although conflicting) emotional states as denotations. In such cases of intermodal incongruence, are we involuntarily biased to respond to information in one channel over the other? We hypothesize that humans are involuntary biased to respond to prosody over verbal content and facial expression, since the ability to communicate socially relevant information such as basic emotional states through prosodic modulation of the voice might have provided early hominins with an adaptive advantage that preceded the emergence of segmental speech (Darwin 1871; Mithen, 2005). To address this hypothesis, we examined the interaction between multiple communicative channels in recruiting attentional resources, within a Stroop interference task (i.e. a task in which different channels give conflicting information; Stroop, 1935). In experiment 1, we used synonyms of “happy” and “sad” spoken with happy and sad prosody. Participants were asked to identify the emotion expressed by the verbal content while ignoring prosody (Word task) or vice versa (Prosody task). Participants responded faster and more accurately in the Prosody task. Within the Word task, incongruent stimuli were responded to more slowly and less accurately than congruent stimuli. In experiment 2, we adopted synonyms of “happy” and “sad” spoken in happy and sad prosody, while a happy or sad face was displayed. Participants were asked to identify the emotion expressed by the verbal content while ignoring prosody and face (Word task), to identify the emotion expressed by prosody while ignoring verbal content and face (Prosody task), or to identify the emotion expressed by the face while ignoring prosody and verbal content (Face task). Participants responded faster in the Face task and less accurately when the two non-focused channels were expressing an emotion that was incongruent with the focused one, as compared with the condition where all the channels were congruent. In addition, in the Word task, accuracy was lower when prosody was incongruent to verbal content and face, as compared with the condition where all the channels were congruent. Our data suggest that prosody interferes with emotion word processing, eliciting automatic responses even when conflicting with both verbal content and facial expressions at the same time. In contrast, although processed significantly faster than prosody and verbal content, faces alone are not sufficient to interfere in emotion processing within a three-dimensional Stroop task. Our findings align with the hypothesis that the ability to communicate emotions through prosodic modulation of the voice – which seems to be dominant over verbal content - is evolutionary older than the emergence of segmental articulation (Mithen, 2005; Fitch, 2010). This hypothesis fits with quantitative data suggesting that prosody has a vital role in the perception of well-formed words (Johnson & Jusczyk, 2001), in the ability to map sounds to referential meanings (Filippi et al., 2014), and in syntactic disambiguation (Soderstrom et al., 2003). This research could complement studies on iconic communication within visual and auditory domains, providing new insights for models of language evolution. Further work aimed at how emotional cues from different modalities are simultaneously integrated will improve our understanding of how humans interpret multimodal emotional meanings in real life interactions.
  • Fisher, S. E. (2016). A molecular genetic perspective on speech and language. In G. Hickok, & S. Small (Eds.), Neurobiology of Language (pp. 13-24). Amsterdam: Elsevier. doi:10.1016/B978-0-12-407794-2.00002-X.

    Abstract

    The rise of genomic technologies has yielded exciting new routes for studying the biological foundations of language. Researchers have begun to identify genes implicated in neurodevelopmental disorders that disrupt speech and language skills. This chapter illustrates how such work can provide powerful entry points into the critical neural pathways using FOXP2 as an example. Rare mutations of this gene cause problems with learning to sequence mouth movements during speech, accompanied by wide-ranging impairments in language production and comprehension. FOXP2 encodes a regulatory protein, a hub in a network of other genes, several of which have also been associated with language-related impairments. Versions of FOXP2 are found in similar form in many vertebrate species; indeed, studies of animals and birds suggest conserved roles in the development and plasticity of certain sets of neural circuits. Thus, the contributions of this gene to human speech and language involve modifications of evolutionarily ancient functions.
  • Fisher, S. E. (2019). Key issues and future directions: Genes and language. In P. Hagoort (Ed.), Human language: From genes and brain to behavior (pp. 609-620). Cambridge, MA: MIT Press.
  • Floyd, S. (2016). Insubordination in Interaction: The Cha’palaa counter-assertive. In N. Evans, & H. Wananabe (Eds.), Dynamics of Insubordination (pp. 341-366). Amsterdam: John Benjamins.

    Abstract

    In the Cha’palaa language of Ecuador the main-clause use of the otherwise non-finite morpheme -ba can be accounted for by a specific interactive practice: the ‘counter-assertion’ of statement or implicature of a previous conversational turn. Attention to the ways in which different constructions are deployed in such recurrent conversational contexts reveals a plausible account for how this type of dependent clause has come to be one of the options for finite clauses. After giving some background on Cha’palaa and placing ba clauses within a larger ecology of insubordination constructions in the language, this chapter uses examples from a video corpus of informal conversation to illustrate how interactive data provides answers that may otherwise be elusive for understanding how the different grammatical options for Cha’palaa finite verb constructions have been structured by insubordination
  • Floyd, S., & Norcliffe, E. (2016). Switch reference systems in the Barbacoan languages and their neighbors. In R. Van Gijn, & J. Hammond (Eds.), Switch Reference 2.0 (pp. 207-230). Amsterdam: Benjamins.

    Abstract

    This chapter surveys the available data on Barbacoan languages and their neighbors to explore a case study of switch reference within a single language family and in a situation of areal contact. To the extent possible given the available data, we weigh accounts appealing to common inheritance and areal convergence to ask what combination of factors led to the current state of these languages. We discuss the areal distribution of switch reference systems in the northwest Andean region, the different types of systems and degrees of complexity observed, and scenarios of contact and convergence, particularly in the case of Barbacoan and Ecuadorian Quechua. We then covers each of the Barbacoan languages’ systems (with the exception of Totoró, represented by its close relative Guambiano), identifying limited formal cognates, primarily between closely-related Tsafiki and Cha’palaa, as well as broader functional similarities, particularly in terms of interactions with topic/focus markers. n accounts for the current state of affairs with a complex scenario of areal prevalence of switch reference combined with deep structural family inheritance and formal re-structuring of the systems over time
  • Francks, C. (2019). The genetic bases of brain lateralization. In P. Hagoort (Ed.), Human language: From genes and brain to behavior (pp. 595-608). Cambridge, MA: MIT Press.
  • Frank, S. L., Monaghan, P., & Tsoukala, C. (2019). Neural network models of language acquisition and processing. In P. Hagoort (Ed.), Human language: From genes and brain to behavior (pp. 277-293). Cambridge, MA: MIT Press.
  • Frost, R. L. A., Isbilen, E. S., Christiansen, M. H., & Monaghan, P. (2019). Testing the limits of non-adjacent dependency learning: Statistical segmentation and generalisation across domains. In A. K. Goel, C. M. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Meeting of the Cognitive Science Society (CogSci 2019) (pp. 1787-1793). Montreal, QB: Cognitive Science Society.

    Abstract

    Achieving linguistic proficiency requires identifying words from speech, and discovering the constraints that govern the way those words are used. In a recent study of non-adjacent dependency learning, Frost and Monaghan (2016) demonstrated that learners may perform these tasks together, using similar statistical processes - contrary to prior suggestions. However, in their study, non-adjacent dependencies were marked by phonological cues (plosive-continuant-plosive structure), which may have influenced learning. Here, we test the necessity of these cues by comparing learning across three conditions; fixed phonology, which contains these cues, varied phonology, which omits them, and shapes, which uses visual shape sequences to assess the generality of statistical processing for these tasks. Participants segmented the sequences and generalized the structure in both auditory conditions, but learning was best when phonological cues were present. Learning was around chance on both tasks for the visual shapes group, indicating statistical processing may critically differ across domains.
  • Frost, R. L. A., Monaghan, P., & Christiansen, M. H. (2016). Using Statistics to Learn Words and Grammatical Categories: How High Frequency Words Assist Language Acquisition. In A. Papafragou, D. Mirman, & J. Trueswell (Eds.), Proceedings of the 38th Annual Meeting of the Cognitive Science Society (CogSci 2016) (pp. 81-86). Austin, Tx: Cognitive Science Society. Retrieved from https://mindmodeling.org/cogsci2016/papers/0027/index.html.

    Abstract

    Recent studies suggest that high-frequency words may benefit speech segmentation (Bortfeld, Morgan, Golinkoff, & Rathbun, 2005) and grammatical categorisation (Monaghan, Christiansen, & Chater, 2007). To date, these tasks have been examined separately, but not together. We familiarised adults with continuous speech comprising repetitions of target words, and compared learning to a language in which targets appeared alongside high-frequency marker words. Marker words reliably preceded targets, and distinguished them into two otherwise unidentifiable categories. Participants completed a 2AFC segmentation test, and a similarity judgement categorisation test. We tested transfer to a word-picture mapping task, where words from each category were used either consistently or inconsistently to label actions/objects. Participants segmented the speech successfully, but only demonstrated effective categorisation when speech contained high-frequency marker words. The advantage of marker words extended to the early stages of the transfer task. Findings indicate the same high-frequency words may assist speech segmentation and grammatical categorisation.
  • Galke, L., Vagliano, I., & Scherp, A. (2019). Can graph neural networks go „online“? An analysis of pretraining and inference. In Proceedings of the Representation Learning on Graphs and Manifolds: ICLR2019 Workshop.

    Abstract

    Large-scale graph data in real-world applications is often not static but dynamic,
    i. e., new nodes and edges appear over time. Current graph convolution approaches
    are promising, especially, when all the graph’s nodes and edges are available dur-
    ing training. When unseen nodes and edges are inserted after training, it is not
    yet evaluated whether up-training or re-training from scratch is preferable. We
    construct an experimental setup, in which we insert previously unseen nodes and
    edges after training and conduct a limited amount of inference epochs. In this
    setup, we compare adapting pretrained graph neural networks against retraining
    from scratch. Our results show that pretrained models yield high accuracy scores
    on the unseen nodes and that pretraining is preferable over retraining from scratch.
    Our experiments represent a first step to evaluate and develop truly online variants
    of graph neural networks.
  • Galke, L., Melnychuk, T., Seidlmayer, E., Trog, S., Foerstner, K., Schultz, C., & Tochtermann, K. (2019). Inductive learning of concept representations from library-scale bibliographic corpora. In K. David, K. Geihs, M. Lange, & G. Stumme (Eds.), Informatik 2019: 50 Jahre Gesellschaft für Informatik - Informatik für Gesellschaft (pp. 219-232). Bonn: Gesellschaft für Informatik e.V. doi:10.18420/inf2019_26.
  • Gannon, E., He, J., Gao, X., & Chaparro, B. (2016). RSVP Reading on a Smart Watch. In Proceedings of the Human Factors and Ergonomics Society 2016 Annual Meeting (pp. 1130-1134).

    Abstract

    Reading with Rapid Serial Visual Presentation (RSVP) has shown promise for optimizing screen space and increasing reading speed without compromising comprehension. Given the wide use of small-screen devices, the present study compared RSVP and traditional reading on three types of reading comprehension, reading speed, and subjective measures on a smart watch. Results confirm previous studies that show faster reading speed with RSVP without detracting from comprehension. Subjective data indicate that Traditional is strongly preferred to RSVP as a primary reading method. Given the optimal use of screen space, increased speed and comparable comprehension, future studies should focus on making RSVP a more comfortable format.
  • Gerwien, J., & Flecken, M. (2016). First things first? Top-down influences on event apprehension. In A. Papafragou, D. Grodner, D. Mirman, & J. Trueswell (Eds.), Proceedings of the 38th Annual Meeting of the Cognitive Science Society (CogSci 2016) (pp. 2633-2638). Austin, TX: Cognitive Science Society.

    Abstract

    Not much is known about event apprehension, the earliest stage of information processing in elicited language production studies, using pictorial stimuli. A reason for our lack of knowledge on this process is that apprehension happens very rapidly (<350 ms after stimulus onset, Griffin & Bock 2000), making it difficult to measure the process directly. To broaden our understanding of apprehension, we analyzed landing positions and onset latencies of first fixations on visual stimuli (pictures of real-world events) given short stimulus presentation times, presupposing that the first fixation directly results from information processing during apprehension
  • Goldrick, M., Brehm, L., Pyeong Whan, C., & Smolensky, P. (2019). Transient blend states and discrete agreement-driven errors in sentence production. In G. J. Snover, M. Nelson, B. O'Connor, & J. Pater (Eds.), Proceedings of the Society for Computation in Linguistics (SCiL 2019) (pp. 375-376). doi:10.7275/n0b2-5305.
  • Gordon, P. C., Lowder, M. W., & Hoedemaker, R. S. (2016). Reading in normally aging adults. In H. Wright (Ed.), Cognitive-Linguistic Processes and Aging (pp. 165-192). Amsterdam: Benjamins. doi:10.1075/z.200.07gor.

    Abstract

    The activity of reading raises fundamental theoretical and practical questions about healthy cognitive aging. Reading relies greatly on knowledge of patterns of language and of meaning at the level of words and topics of text. Further, this knowledge must be rapidly accessed so that it can be coordinated with processes of perception, attention, memory and motor control that sustain skilled reading at rates of four-to-five words a second. As such, reading depends both on crystallized semantic intelligence which grows or is maintained through healthy aging, and on components of fluid intelligence which decline with age. Reading is important to older adults because it facilitates completion of everyday tasks that are essential to independent living. In addition, it entails the kind of active mental engagement that can preserve and deepen the cognitive reserve that may mitigate the negative consequences of age-related changes in the brain. This chapter reviews research on the front end of reading (word recognition) and on the back end of reading (text memory) because both of these abilities are surprisingly robust to declines associated with cognitive aging. For word recognition, that robustness is surprising because rapid processing of the sort found in reading is usually impaired by aging; for text memory, it is surprising because other types of episodic memory performance (e.g., paired associates) substantially decline in aging. These two otherwise quite different levels of reading comprehension remain robust because they draw on the knowledge of language that older adults gain through a life-time of experience with language.
  • Hagoort, P. (2016). MUC (Memory, Unification, Control): A Model on the Neurobiology of Language Beyond Single Word Processing. In G. Hickok, & S. Small (Eds.), Neurobiology of language (pp. 339-347). Amsterdam: Elsever. doi:10.1016/B978-0-12-407794-2.00028-6.

    Abstract

    A neurobiological model of language is discussed that overcomes the shortcomings of the classical Wernicke-Lichtheim-Geschwind model. It is based on a subdivision of language processing into three components: Memory, Unification, and Control. The functional components as well as the neurobiological underpinnings of the model are discussed. In addition, the need for extension beyond the classical core regions for language is shown. Attentional networks as well as networks for inferential processing are crucial to realize language comprehension beyond single word processing and beyond decoding propositional content.
  • Hagoort, P., & Beckmann, C. F. (2019). Key issues and future directions: The neural architecture for language. In P. Hagoort (Ed.), Human language: From genes and brains to behavior (pp. 527-532). Cambridge, MA: MIT Press.
  • Hagoort, P. (2019). Introduction. In P. Hagoort (Ed.), Human language: From genes and brains to behavior (pp. 1-6). Cambridge, MA: MIT Press.
  • Hagoort, P. (2016). Zij zijn ons brein. In J. Brockman (Ed.), Machines die denken: Invloedrijke denkers over de komst van kunstmatige intelligentie (pp. 184-186). Amsterdam: Maven Publishing.
  • Hahn, L. E., Ten Buuren, M., De Nijs, M., Snijders, T. M., & Fikkert, P. (2019). Acquiring novel words in a second language through mutual play with child songs - The Noplica Energy Center. In L. Nijs, H. Van Regenmortel, & C. Arculus (Eds.), MERYC19 Counterpoints of the senses: Bodily experiences in musical learning (pp. 78-87). Ghent, Belgium: EuNet MERYC 2019.

    Abstract

    Child songs are a great source for linguistic learning. Here we explore whether children can acquire novel words in a second language by playing a game featuring child songs in a playhouse. We present data from three studies that serve as scientific proof for the functionality of one game of the playhouse: the Energy Center. For this game, three hand-bikes were mounted on a panel. When children start moving the hand-bikes, child songs start playing simultaneously. Once the children produce enough energy with the hand-bikes, the songs are additionally accompanied with the sounds of musical instruments. In our studies, children executed a picture-selection task to evaluate whether they acquired new vocabulary from the songs presented during the game. Two of our studies were run in the field, one at a Dutch and one at an Indian pre-school. The third study features data from a more controlled laboratory setting. Our results partly confirm that the Energy Center is a successful means to support vocabulary acquisition in a second language. More research with larger sample sizes and longer access to the Energy Center is needed to evaluate the overall functionality of the game. Based on informal observations at our test sites, however, we are certain that children do pick up linguistic content from the songs during play, as many of the children repeat words and phrases from songs they heard. We will pick up upon these promising observations during future studies
  • Hammarström, H. (2019). An inventory of Bantu languages. In M. Van de Velde, K. Bostoen, D. Nurse, & G. Philippson (Eds.), The Bantu languages (2nd). London: Routledge.

    Abstract

    This chapter aims to provide an updated list of all Bantu languages known at present and to provide individual pointers to further information on the inventory. The area division has some correlation with what are perceived genealogical relations between Bantu languages, but they are not defined as such and do not change whenever there is an update in our understanding of genealogical relations. Given the popularity of Guthrie codes in Bantu linguistics, our listing also features a complete mapping to Guthrie codes. The language inventory listed excludes sign languages used in the Bantu area, speech registers, pidgins, drummed/whistled languages and urban youth languages. Pointers to such languages in the Bantu area are included in the continent-wide overview in Hammarstrom. The most important alternative names, subvarieties and spelling variants are given for each language, though such lists are necessarily incomplete and reflect some degree of arbitrary selection.
  • Harmon, Z., & Kapatsinski, V. (2016). Fuse to be used: A weak cue’s guide to attracting attention. In A. Papafragou, D. Grodner, D. Mirman, & J. Trueswell (Eds.), Proceedings of the 38th Annual Meeting of the Cognitive Science Society (CogSci 2016). Austin, TX: Cognitive Science Society (pp. 520-525). Austin, TX: Cognitive Science Society.

    Abstract

    Several studies examined cue competition in human learning by testing learners on a combination of conflicting cues rooting for different outcomes, with each cue perfectly predicting its outcome. A common result has been that learners faced with cue conflict choose the outcome associated with the rare cue (the Inverse Base Rate Effect, IBRE). Here, we investigate cue competition including IBRE with sentences containing cues to meanings in a visual world. We do not observe IBRE. Instead we find that position in the sentence strongly influences cue salience. Faced with conflict between an initial cue and a non-initial cue, learners choose the outcome associated with the initial cue, whether frequent or rare. However, a frequent configuration of non-initial cues that are not sufficiently salient on their own can overcome a competing salient initial cue rooting for a different meaning. This provides a possible explanation for certain recurring patterns in language change.
  • Harmon, Z., & Kapatsinski, V. (2016). Determinants of lengths of repetition disfluencies: Probabilistic syntactic constituency in speech production. In R. Burkholder, C. Cisneros, E. R. Coppess, J. Grove, E. A. Hanink, H. McMahan, C. Meyer, N. Pavlou, Ö. Sarıgül, A. R. Singerman, & A. Zhang (Eds.), Proceedings of the Fiftieth Annual Meeting of the Chicago Linguistic Society (pp. 237-248). Chicago: Chicago Linguistic Society.
  • Heilbron, M., Ehinger, B., Hagoort, P., & De Lange, F. P. (2019). Tracking naturalistic linguistic predictions with deep neural language models. In Proceedings of the 2019 Conference on Cognitive Computational Neuroscience (pp. 424-427). doi:10.32470/CCN.2019.1096-0.

    Abstract

    Prediction in language has traditionally been studied using
    simple designs in which neural responses to expected
    and unexpected words are compared in a categorical
    fashion. However, these designs have been contested
    as being ‘prediction encouraging’, potentially exaggerating
    the importance of prediction in language understanding.
    A few recent studies have begun to address
    these worries by using model-based approaches to probe
    the effects of linguistic predictability in naturalistic stimuli
    (e.g. continuous narrative). However, these studies
    so far only looked at very local forms of prediction, using
    models that take no more than the prior two words into
    account when computing a word’s predictability. Here,
    we extend this approach using a state-of-the-art neural
    language model that can take roughly 500 times longer
    linguistic contexts into account. Predictability estimates
    fromthe neural network offer amuch better fit to EEG data
    from subjects listening to naturalistic narrative than simpler
    models, and reveal strong surprise responses akin to
    the P200 and N400. These results show that predictability
    effects in language are not a side-effect of simple designs,
    and demonstrate the practical use of recent advances
    in AI for the cognitive neuroscience of language.
  • Hendricks, I., Lefever, E., Croijmans, I., Majid, A., & Van den Bosch, A. (2016). Very quaffable and great fun: Applying NLP to wine reviews. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics: Vol 2 (pp. 306-312). Stroudsburg, PA: Association for Computational Linguistics.

    Abstract

    We automatically predict properties of
    wines on the basis of smell and flavor de-
    scriptions from experts’ wine reviews. We
    show wine experts are capable of describ-
    ing their smell and flavor experiences in
    wine reviews in a sufficiently consistent
    manner, such that we can use their descrip-
    tions to predict properties of a wine based
    solely on language. The experimental re-
    sults show promising F-scores when using
    lexical and semantic information to predict
    the color, grape variety, country of origin,
    and price of a wine. This demonstrates,
    contrary to popular opinion, that wine ex-
    perts’ reviews really are informative.
  • Hintz, F., & Scharenborg, O. (2016). Neighbourhood density influences word recognition in native and non-native speech recognition in noise. In H. Van den Heuvel, B. Cranen, & S. Mattys (Eds.), Proceedings of the Speech Processing in Realistic Environments (SPIRE) workshop (pp. 46-47). Groningen.
  • Hintz, F., & Scharenborg, O. (2016). The effect of background noise on the activation of phonological and semantic information during spoken-word recognition. In Proceedings of Interspeech 2016: The 17th Annual Conference of the International Speech Communication Association (pp. 2816-2820).

    Abstract

    During spoken-word recognition, listeners experience phonological competition between multiple word candidates, which increases, relative to optimal listening conditions, when speech is masked by noise. Moreover, listeners activate semantic word knowledge during the word’s unfolding. Here, we replicated the effect of background noise on phonological competition and investigated to which extent noise affects the activation of semantic information in phonological competitors. Participants’ eye movements were recorded when they listened to sentences containing a target word and looked at three types of displays. The displays either contained a picture of the target word, or a picture of a phonological onset competitor, or a picture of a word semantically related to the onset competitor, each along with three unrelated distractors. The analyses revealed that, in noise, fixations to the target and to the phonological onset competitor were delayed and smaller in magnitude compared to the clean listening condition, most likely reflecting enhanced phonological competition. No evidence for the activation of semantic information in the phonological competitors was observed in noise and, surprisingly, also not in the clear. We discuss the implications of the lack of an effect and differences between the present and earlier studies.
  • Irivine, E., & Roberts, S. G. (2016). Deictic tools can limit the emergence of referential symbol systems. In S. G. Roberts, C. Cuskley, L. McCrohon, L. Barceló-Coblijn, O. Feher, & T. Verhoef (Eds.), The Evolution of Language: Proceedings of the 11th International Conference (EVOLANG11). Retrieved from http://evolang.org/neworleans/papers/99.html.

    Abstract

    Previous experiments and models show that the pressure to communicate can lead to the emergence of symbols in specific tasks. The experiment presented here suggests that the ability to use deictic gestures can reduce the pressure for symbols to emerge in co-operative tasks. In the 'gesture-only' condition, pairs built a structure together in 'Minecraft', and could only communicate using a small range of gestures. In the 'gesture-plus' condition, pairs could also use sound to develop a symbol system if they wished. All pairs were taught a pointing convention. None of the pairs we tested developed a symbol system, and performance was no different across the two conditions. We therefore suggest that deictic gestures, and non-referential means of organising activity sequences, are often sufficient for communication. This suggests that the emergence of linguistic symbols in early hominids may have been late and patchy with symbols only emerging in contexts where they could significantly improve task success or efficiency. Given the communicative power of pointing however, these contexts may be fewer than usually supposed. An approach for identifying these situations is outlined.
  • Janssen, R., Winter, B., Dediu, D., Moisik, S. R., & Roberts, S. G. (2016). Nonlinear biases in articulation constrain the design space of language. In S. G. Roberts, C. Cuskley, L. McCrohon, L. Barceló-Coblijn, O. Feher, & T. Verhoef (Eds.), The Evolution of Language: Proceedings of the 11th International Conference (EVOLANG11). Retrieved from http://evolang.org/neworleans/papers/86.html.

    Abstract

    In Iterated Learning (IL) experiments, a participant’s learned output serves as the next participant’s learning input (Kirby et al., 2014). IL can be used to model cultural transmission and has indicated that weak biases can be amplified through repeated cultural transmission (Kirby et al., 2007). So, for example, structural language properties can emerge over time because languages come to reflect the cognitive constraints in the individuals that learn and produce the language. Similarly, we propose that languages may also reflect certain anatomical biases. Do sound systems adapt to the affordances of the articulation space induced by the vocal tract?
    The human vocal tract has inherent nonlinearities which might derive from acoustics and aerodynamics (cf. quantal theory, see Stevens, 1989) or biomechanics (cf. Gick & Moisik, 2015). For instance, moving the tongue anteriorly along the hard palate to produce a fricative does not result in large changes in acoustics in most cases, but for a small range there is an abrupt change from a perceived palato-alveolar [ʃ] to alveolar [s] sound (Perkell, 2012). Nonlinearities such as these might bias all human speakers to converge on a very limited set of phonetic categories, and might even be a basis for combinatoriality or phonemic ‘universals’.
    While IL typically uses discrete symbols, Verhoef et al. (2014) have used slide whistles to produce a continuous signal. We conducted an IL experiment with human subjects who communicated using a digital slide whistle for which the degree of nonlinearity is controlled. A single parameter (α) changes the mapping from slide whistle position (the ‘articulator’) to the acoustics. With α=0, the position of the slide whistle maps Bark-linearly to the acoustics. As α approaches 1, the mapping gets more double-sigmoidal, creating three plateaus where large ranges of positions map to similar frequencies. In more abstract terms, α represents the strength of a nonlinear (anatomical) bias in the vocal tract.
    Six chains (138 participants) of dyads were tested, each chain with a different, fixed α. Participants had to communicate four meanings by producing a continuous signal using the slide-whistle in a ‘director-matcher’ game, alternating roles (cf. Garrod et al., 2007).
    Results show that for high αs, subjects quickly converged on the plateaus. This quick convergence is indicative of a strong bias, repelling subjects away from unstable regions already within-subject. Furthermore, high αs lead to the emergence of signals that oscillate between two (out of three) plateaus. Because the sigmoidal spaces are spatially constrained, participants increasingly used the sequential/temporal dimension. As a result of this, the average duration of signals with high α was ~100ms longer than with low α. These oscillations could be an expression of a basis for phonemic combinatoriality.
    We have shown that it is possible to manipulate the magnitude of an articulator-induced non-linear bias in a slide whistle IL framework. The results suggest that anatomical biases might indeed constrain the design space of language. In particular, the signaling systems in our study quickly converged (within-subject) on the use of stable regions. While these conclusions were drawn from experiments using slide whistles with a relatively strong bias, weaker biases could possibly be amplified over time by repeated cultural transmission, and likely lead to similar outcomes.
  • Janssen, R., Dediu, D., & Moisik, S. R. (2016). Simple agents are able to replicate speech sounds using 3d vocal tract model. In S. G. Roberts, C. Cuskley, L. McCrohon, L. Barceló-Coblijn, O. Feher, & T. Verhoef (Eds.), The Evolution of Language: Proceedings of the 11th International Conference (EVOLANG11). Retrieved from http://evolang.org/neworleans/papers/97.html.

    Abstract

    Many factors have been proposed to explain why groups of people use different speech sounds in their language. These range from cultural, cognitive, environmental (e.g., Everett, et al., 2015) to anatomical (e.g., vocal tract (VT) morphology). How could such anatomical properties have led to the similarities and differences in speech sound distributions between human languages?

    It is known that hard palate profile variation can induce different articulatory strategies in speakers (e.g., Brunner et al., 2009). That is, different hard palate profiles might induce a kind of bias on speech sound production, easing some types of sounds while impeding others. With a population of speakers (with a proportion of individuals) that share certain anatomical properties, even subtle VT biases might become expressed at a population-level (through e.g., bias amplification, Kirby et al., 2007). However, before we look into population-level effects, we should first look at within-individual anatomical factors. For that, we have developed a computer-simulated analogue for a human speaker: an agent. Our agent is designed to replicate speech sounds using a production and cognition module in a computationally tractable manner.

    Previous agent models have often used more abstract (e.g., symbolic) signals. (e.g., Kirby et al., 2007). We have equipped our agent with a three-dimensional model of the VT (the production module, based on Birkholz, 2005) to which we made numerous adjustments. Specifically, we used a 4th-order Bezier curve that is able to capture hard palate variation on the mid-sagittal plane (XXX, 2015). Using an evolutionary algorithm, we were able to fit the model to human hard palate MRI tracings, yielding high accuracy fits and using as little as two parameters. Finally, we show that the samples map well-dispersed to the parameter-space, demonstrating that the model cannot generate unrealistic profiles. We can thus use this procedure to import palate measurements into our agent’s production module to investigate the effects on acoustics. We can also exaggerate/introduce novel biases.

    Our agent is able to control the VT model using the cognition module.

    Previous research has focused on detailed neurocomputation (e.g., Kröger et al., 2014) that highlights e.g., neurobiological principles or speech recognition performance. However, the brain is not the focus of our current study. Furthermore, present-day computing throughput likely does not allow for large-scale deployment of these architectures, as required by the population model we are developing. Thus, the question whether a very simple cognition module is able to replicate sounds in a computationally tractable manner, and even generalize over novel stimuli, is one worthy of attention in its own right.

    Our agent’s cognition module is based on running an evolutionary algorithm on a large population of feed-forward neural networks (NNs). As such, (anatomical) bias strength can be thought of as an attractor basin area within the parameter-space the agent has to explore. The NN we used consists of a triple-layered (fully-connected), directed graph. The input layer (three neurons) receives the formants frequencies of a target-sound. The output layer (12 neurons) projects to the articulators in the production module. A hidden layer (seven neurons) enables the network to deal with nonlinear dependencies. The Euclidean distance (first three formants) between target and replication is used as fitness measure. Results show that sound replication is indeed possible, with Euclidean distance quickly approaching a close-to-zero asymptote.

    Statistical analysis should reveal if the agent can also: a) Generalize: Can it replicate sounds not exposed to during learning? b) Replicate consistently: Do different, isolated agents always converge on the same sounds? c) Deal with consolidation: Can it still learn new sounds after an extended learning phase (‘infancy’) has been terminated? Finally, a comparison with more complex models will be used to demonstrate robustness.
  • Jeske, J., Kember, H., & Cutler, A. (2016). Native and non-native English speakers' use of prosody to predict sentence endings. In Proceedings of the 16th Australasian International Conference on Speech Science and Technology (SST2016).
  • Joo, H., Jang, J., Kim, S., Cho, T., & Cutler, A. (2019). Prosodic structural effects on coarticulatory vowel nasalization in Australian English in comparison to American English. In S. Calhoun, P. Escudero, M. Tabain, & P. Warren (Eds.), Proceedings of the 19th International Congress of Phonetic Sciences (ICPhS 20195) (pp. 835-839). Canberra, Australia: Australasian Speech Science and Technology Association Inc.

    Abstract

    This study investigates effects of prosodic factors (prominence, boundary) on coarticulatory Vnasalization in Australian English (AusE) in CVN and NVC in comparison to those in American English
    (AmE). As in AmE, prominence was found to
    lengthen N, but to reduce V-nasalization, enhancing N’s nasality and V’s orality, respectively (paradigmatic contrast enhancement). But the prominence effect in CVN was more robust than that in AmE. Again similar to findings in AmE, boundary
    induced a reduction of N-duration and V-nasalization phrase-initially (syntagmatic contrast enhancement), and increased the nasality of both C and V phrasefinally.
    But AusE showed some differences in terms
    of the magnitude of V nasalization and N duration. The results suggest that the linguistic contrast enhancements underlie prosodic-structure modulation of coarticulatory V-nasalization in
    comparable ways across dialects, while the fine phonetic detail indicates that the phonetics-prosody interplay is internalized in the individual dialect’s phonetic grammar.
  • Kember, H., Choi, J., & Cutler, A. (2016). Processing advantages for focused words in Korean. In J. Barnes, A. Brugos, S. Shattuck-Hufnagel, & N. Veilleux (Eds.), Proceedings of Speech Prosody 2016 (pp. 702-705).

    Abstract

    In Korean, focus is expressed in accentual phrasing. To ascertain whether words focused in this manner enjoy a processing advantage analogous to that conferred by focus as expressed in, e.g, English and Dutch, we devised sentences with target words in one of four conditions: prosodic focus, syntactic focus, prosodic + syntactic focus, and no focus as a control. 32 native speakers of Korean listened to blocks of 10 sentences, then were presented visually with words and asked whether or not they had heard them. Overall, words with focus were recognised significantly faster and more accurately than unfocused words. In addition, words with syntactic focus or syntactic + prosodic focus were recognised faster than words with prosodic focus alone. As for other languages, Korean focus confers processing advantage on the words carrying it. While prosodic focus does provide an advantage, however, syntactic focus appears to provide the greater beneficial effect for recognition memory
  • Lev-Ari, S. (2019). The influence of social network properties on language processing and use. In M. S. Vitevitch (Ed.), Network Science in Cognitive Psychology (pp. 10-29). New York, NY: Routledge.

    Abstract

    Language is a social phenomenon. The author learns, processes, and uses it in social contexts. In other words, the social environment shapes the linguistic knowledge and use of the knowledge. To a degree, this is trivial. A child exposed to Japanese will become fluent in Japanese, whereas a child exposed to only Spanish will not understand Japanese but will master the sounds, vocabulary, and grammar of Spanish. Language is a structured system. Sounds and words do not occur randomly but are characterized by regularities. Learners are sensitive to these regularities and exploit them when learning language. People differ in the sizes of their social networks. Some people tend to interact with only a few people, whereas others might interact with a wide range of people. This is reflected in people’s holiday greeting habits: some people might send cards to only a few people, whereas other would send greeting cards to more than 350 people.
  • Levelt, W. J. M. (2016). Localism versus holism. Historical origins of studying language in the brain. In R. Rubens, & M. Van Dijk (Eds.), Sartoniana vol. 29 (pp. 37-60). Ghent: Ghent University.
  • Levelt, W. J. M. (2016). The first golden age of psycholinguistics 1865-World War I. In R. Rubens, & M. Van Dyck (Eds.), Sartoniana vol. 29 (pp. 15-36). Ghent: Ghent University.
  • Levelt, W. J. M., & De Swaan, A. (2016). Levensbericht Nico Frijda. In Koninklijke Nederlandse Akademie van Wetenschappen (Ed.), Levensberichten en herdenkingen 2016 (pp. 16-25). Amsterdam: KNAW.
  • Levelt, W. J. M. (1962). Motion breaking and the perception of causality. In A. Michotte (Ed.), Causalité, permanence et réalité phénoménales: Etudes de psychologie expérimentale (pp. 244-258). Louvain: Publications Universitaires.
  • Levelt, W. J. M., & Plomp, R. (1962). Musical consonance and critical bandwidth. In Proceedings of the 4th International Congress Acoustics (pp. 55-55).
  • 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.
  • Levelt, W. J. M. (1966). The perceptual conflict in binocular rivalry. In M. A. Bouman (Ed.), Studies in perception: Dedicated to M.A. Bouman (pp. 47-60). Soesterberg: Institute for Perception RVO-TNO.
  • Levinson, S. C., & Toni, I. (2019). Key issues and future directions: Interactional foundations of language. In P. Hagoort (Ed.), Human language: From genes and brain to behavior (pp. 257-261). Cambridge, MA: MIT Press.
  • Levinson, S. C. (2016). Language and mind: Let's get the issues straight! In S. D. Blum (Ed.), Making sense of language: Readings in culture and communication [3rd ed.] (pp. 68-80). Oxford: Oxford University Press.
  • Levinson, S. C. (2019). Interactional foundations of language: The interaction engine hypothesis. In P. Hagoort (Ed.), Human language: From genes and brain to behavior (pp. 189-200). Cambridge, MA: MIT Press.
  • Levinson, S. C. (2019). Natural forms of purposeful interaction among humans: What makes interaction effective? In K. A. Gluck, & J. E. Laird (Eds.), Interactive task learning: Humans, robots, and agents acquiring new tasks through natural interactions (pp. 111-126). Cambridge, MA: MIT Press.
  • Levinson, S. C. (2016). The countable singulare tantum. In A. Reuneker, R. Boogaart, & S. Lensink (Eds.), Aries netwerk: Een constructicon (pp. 145-146). Leiden: Leiden University.
  • Little, H., Eryılmaz, K., & De Boer, B. (2016). Emergence of signal structure: Effects of duration constraints. In S. G. Roberts, C. Cuskley, L. McCrohon, L. Barceló-Coblijn, O. Feher, & T. Verhoef (Eds.), The Evolution of Language: Proceedings of the 11th International Conference (EVOLANG11). Retrieved from http://evolang.org/neworleans/papers/25.html.

    Abstract

    Recent work has investigated the emergence of structure in speech using experiments which use artificial continuous signals. Some experiments have had no limit on the duration which signals can have (e.g. Verhoef et al., 2014), and others have had time limitations (e.g. Verhoef et al., 2015). However, the effect of time constraints on the structure in signals has never been experimentally investigated.
  • Little, H., & de Boer, B. (2016). Did the pressure for discrimination trigger the emergence of combinatorial structure? In Proceedings of the 2nd Conference of the International Association for Cognitive Semiotics (pp. 109-110).
  • Little, H., Eryılmaz, K., & De Boer, B. (2016). Differing signal-meaning dimensionalities facilitates the emergence of structure. In S. G. Roberts, C. Cuskley, L. McCrohon, L. Barceló-Coblijn, O. Feher, & T. Verhoef (Eds.), The Evolution of Language: Proceedings of the 11th International Conference (EVOLANG11). Retrieved from http://evolang.org/neworleans/papers/25.html.

    Abstract

    Structure of language is not only caused by cognitive processes, but also by physical aspects of the signalling modality. We test the assumptions surrounding the role which the physical aspects of the signal space will have on the emergence of structure in speech. Here, we use a signal creation task to test whether a signal space and a meaning space having similar dimensionalities will generate an iconic system with signal-meaning mapping and whether, when the topologies differ, the emergence of non-iconic structure is facilitated. In our experiments, signals are created using infrared sensors which use hand position to create audio signals. We find that people take advantage of signal-meaning mappings where possible. Further, we use trajectory probabilities and measures of variance to show that when there is a dimensionality mismatch, more structural strategies are used.
  • Little, H. (2016). Nahran Bhannamz: Language Evolution in an Online Zombie Apocalypse Game. In Createvolang: creativity and innovation in language evolution.
  • Liu, S., & Zhang, Y. (2019). Why some verbs are harder to learn than others – A micro-level analysis of everyday learning contexts for early verb learning. In A. K. Goel, C. M. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Meeting of the Cognitive Science Society (CogSci 2019) (pp. 2173-2178). Montreal, QB: Cognitive Science Society.

    Abstract

    Verb learning is important for young children. While most
    previous research has focused on linguistic and conceptual
    challenges in early verb learning (e.g. Gentner, 1982, 2006),
    the present paper examined early verb learning at the
    attentional level and quantified the input for early verb learning
    by measuring verb-action co-occurrence statistics in parent-
    child interaction from the learner’s perspective. To do so, we
    used head-mounted eye tracking to record fine-grained
    multimodal behaviors during parent-infant joint play, and
    analyzed parent speech, parent and infant action, and infant
    attention at the moments when parents produced verb labels.
    Our results show great variability across different action verbs,
    in terms of frequency of verb utterances, frequency of
    corresponding actions related to verb meanings, and infants’
    attention to verbs and actions, which provide new insights on
    why some verbs are harder to learn than others.
  • Lockwood, G., Hagoort, P., & Dingemanse, M. (2016). Synthesized Size-Sound Sound Symbolism. In A. Papafragou, D. Grodner, D. Mirman, & J. Trueswell (Eds.), Proceedings of the 38th Annual Meeting of the Cognitive Science Society (CogSci 2016) (pp. 1823-1828). Austin, TX: Cognitive Science Society.

    Abstract

    Studies of sound symbolism have shown that people can associate sound and meaning in consistent ways when presented with maximally contrastive stimulus pairs of nonwords such as bouba/kiki (rounded/sharp) or mil/mal (small/big). Recent work has shown the effect extends to antonymic words from natural languages and has proposed a role for shared cross-modal correspondences in biasing form-to-meaning associations. An important open question is how the associations work, and particularly what the role is of sound-symbolic matches versus mismatches. We report on a learning task designed to distinguish between three existing theories by using a spectrum of sound-symbolically matching, mismatching, and neutral (neither matching nor mismatching) stimuli. Synthesized stimuli allow us to control for prosody, and the inclusion of a neutral condition allows a direct test of competing accounts. We find evidence for a sound-symbolic match boost, but not for a mismatch difficulty compared to the neutral condition.
  • Macuch Silva, V., & Roberts, S. G. (2016). Language adapts to signal disruption in interaction. In S. G. Roberts, C. Cuskley, L. McCrohon, L. Barceló-Coblijn, O. Feher, & T. Verhoef (Eds.), The Evolution of Language: Proceedings of the 11th International Conference (EVOLANG11). Retrieved from http://evolang.org/neworleans/papers/20.html.

    Abstract

    Linguistic traits are often seen as reflecting cognitive biases and constraints (e.g. Christiansen & Chater, 2008). However, language must also adapt to properties of the channel through which communication between individuals occurs. Perhaps the most basic aspect of any communication channel is noise. Communicative signals can be blocked, degraded or distorted by other sources in the environment. This poses a fundamental problem for communication. On average, channel disruption accompanies problems in conversation every 3 minutes (27% of cases of other-initiated repair, Dingemanse et al., 2015). Linguistic signals must adapt to this harsh environment. While modern language structures are robust to noise (e.g. Piantadosi et al., 2011), we investigate how noise might have shaped the early emergence of structure in language. The obvious adaptation to noise is redundancy. Signals which are maximally different from competitors are harder to render ambiguous by noise. Redundancy can be increased by adding differentiating segments to each signal (increasing the diversity of segments). However, this makes each signal more complex and harder to learn. Under this strategy, holistic languages may emerge. Another strategy is reduplication - repeating parts of the signal so that noise is less likely to disrupt all of the crucial information. This strategy does not increase the difficulty of learning the language - there is only one extra rule which applies to all signals. Therefore, under pressures for learnability, expressivity and redundancy, reduplicated signals are expected to emerge. However, reduplication is not a pervasive feature of words (though it does occur in limited domains like plurals or iconic meanings). We suggest that this is due to the pressure for redundancy being lifted by conversational infrastructure for repair. Receivers can request that senders repeat signals only after a problem occurs. That is, robustness is achieved by repeating the signal across conversational turns (when needed) instead of within single utterances. As a proof of concept, we ran two iterated learning chains with pairs of individuals in generations learning and using an artificial language (e.g. Kirby et al., 2015). The meaning space was a structured collection of unfamiliar images (3 shapes x 2 textures x 2 outline types). The initial language for each chain was the same written, unstructured, fully expressive language. Signals produced in each generation formed the training language for the next generation. Within each generation, pairs played an interactive communication game. The director was given a target meaning to describe, and typed a word for the matcher, who guessed the target meaning from a set. With a 50% probability, a contiguous section of 3-5 characters in the typed word was replaced by ‘noise’ characters (#). In one chain, the matcher could initiate repair by requesting that the director type and send another signal. Parallel generations across chains were matched for the number of signals sent (if repair was initiated for a meaning, then it was presented twice in the parallel generation where repair was not possible) and noise (a signal for a given meaning which was affected by noise in one generation was affected by the same amount of noise in the parallel generation). For the final set of signals produced in each generation we measured the signal redundancy (the zip compressibility of the signals), the character diversity (entropy of the characters of the signals) and systematic structure (z-score of the correlation between signal edit distance and meaning hamming distance). In the condition without repair, redundancy increased with each generation (r=0.97, p=0.01), and the character diversity decreased (r=-0.99,p=0.001) which is consistent with reduplication, as shown below (part of the initial and the final language): Linear regressions revealed that generations with repair had higher overall systematic structure (main effect of condition, t = 2.5, p < 0.05), increasing character diversity (interaction between condition and generation, t = 3.9, p = 0.01) and redundancy increased at a slower rate (interaction between condition and generation, t = -2.5, p < 0.05). That is, the ability to repair counteracts the pressure from noise, and facilitates the emergence of compositional structure. Therefore, just as systems to repair damage to DNA replication are vital for the evolution of biological species (O’Brien, 2006), conversational repair may regulate replication of linguistic forms in the cultural evolution of language. Future studies should further investigate how evolving linguistic structure is shaped by interaction pressures, drawing on experimental methods and naturalistic studies of emerging languages, both spoken (e.g Botha, 2006; Roberge, 2008) and signed (e.g Senghas, Kita, & Ozyurek, 2004; Sandler et al., 2005).
  • Mai, F., Galke, L., & Scherp, A. (2019). CBOW is not all you need: Combining CBOW with the compositional matrix space model. In Proceedings of the Seventh International Conference on Learning Representations (ICLR 2019). OpenReview.net.

    Abstract

    Continuous Bag of Words (CBOW) is a powerful text embedding method. Due to its strong capabilities to encode word content, CBOW embeddings perform well on a wide range of downstream tasks while being efficient to compute. However, CBOW is not capable of capturing the word order. The reason is that the computation of CBOW's word embeddings is commutative, i.e., embeddings of XYZ and ZYX are the same. In order to address this shortcoming, we propose a
    learning algorithm for the Continuous Matrix Space Model, which we call Continual Multiplication of Words (CMOW). Our algorithm is an adaptation of word2vec, so that it can be trained on large quantities of unlabeled text. We empirically show that CMOW better captures linguistic properties, but it is inferior to CBOW in memorizing word content. Motivated by these findings, we propose a hybrid model that combines the strengths of CBOW and CMOW. Our results show that the hybrid CBOW-CMOW-model retains CBOW's strong ability to memorize word content while at the same time substantially improving its ability to encode other linguistic information by 8%. As a result, the hybrid also performs better on 8 out of 11 supervised downstream tasks with an average improvement of 1.2%.
  • Majid, A. (2019). Preface. In L. J. Speed, C. O'Meara, L. San Roque, & A. Majid (Eds.), Perception Metaphors (pp. vii-viii). Amsterdam: Benjamins.
  • Majid, A. (2016). Was wir von anderen Kulturen über den Geruchsinn lernen können. In Museum Tinguely (Ed.), Belle Haleine – Der Duft der Kunst. Interdisziplinäres Symposium (pp. 73-79). Heidelberg: Kehrer.
  • Majid, A. (2016). What other cultures can tell us about the sense of smell. In Museum Tinguely (Ed.), Belle haleine - the scent of art: interdisciplinary symposium (pp. 72-77). Heidelberg: Kehrer.
  • Mamus, E., Rissman, L., Majid, A., & Ozyurek, A. (2019). Effects of blindfolding on verbal and gestural expression of path in auditory motion events. In A. K. Goel, C. M. Seifert, & C. C. Freksa (Eds.), Proceedings of the 41st Annual Meeting of the Cognitive Science Society (CogSci 2019) (pp. 2275-2281). Montreal, QB: Cognitive Science Society.

    Abstract

    Studies have claimed that blind people’s spatial representations are different from sighted people, and blind people display superior auditory processing. Due to the nature of auditory and haptic information, it has been proposed that blind people have spatial representations that are more sequential than sighted people. Even the temporary loss of sight—such as through blindfolding—can affect spatial representations, but not much research has been done on this topic. We compared blindfolded and sighted people’s linguistic spatial expressions and non-linguistic localization accuracy to test how blindfolding affects the representation of path in auditory motion events. We found that blindfolded people were as good as sighted people when localizing simple sounds, but they outperformed sighted people when localizing auditory motion events. Blindfolded people’s path related speech also included more sequential, and less holistic elements. Our results indicate that even temporary loss of sight influences spatial representations of auditory motion events
  • Marcoux, K., & Ernestus, M. (2019). Differences between native and non-native Lombard speech in terms of pitch range. In M. Ochmann, M. Vorländer, & J. Fels (Eds.), Proceedings of the ICA 2019 and EAA Euroregio. 23rd International Congress on Acoustics, integrating 4th EAA Euroregio 2019 (pp. 5713-5720). Berlin: Deutsche Gesellschaft für Akustik.

    Abstract

    Lombard speech, speech produced in noise, is acoustically different from speech produced in quiet (plain speech) in several ways, including having a higher and wider F0 range (pitch). Extensive research on native Lombard speech does not consider that non-natives experience a higher cognitive load while producing
    speech and that the native language may influence the non-native speech. We investigated pitch range in plain and Lombard speech in native and non-natives.
    Dutch and American-English speakers read contrastive question-answer pairs in quiet and in noise in English, while the Dutch also read Dutch sentence pairs. We found that Lombard speech is characterized by a wider pitch range than plain speech, for all speakers (native English, non-native English, and native Dutch).
    This shows that non-natives also widen their pitch range in Lombard speech. In sentences with early-focus, we see the same increase in pitch range when going from plain to Lombard speech in native and non-native English, but a smaller increase in native Dutch. In sentences with late-focus, we see the biggest increase for the native English, followed by non-native English and then native Dutch. Together these results indicate an effect of the native language on non-native Lombard speech.
  • Marcoux, K., & Ernestus, M. (2019). Pitch in native and non-native Lombard speech. In S. Calhoun, P. Escudero, M. Tabain, & P. Warren (Eds.), Proceedings of the 19th International Congress of Phonetic Sciences (ICPhS 2019) (pp. 2605-2609). Canberra, Australia: Australasian Speech Science and Technology Association Inc.

    Abstract

    Lombard speech, speech produced in noise, is
    typically produced with a higher fundamental
    frequency (F0, pitch) compared to speech in quiet. This paper examined the potential differences in native and non-native Lombard speech by analyzing median pitch in sentences with early- or late-focus produced in quiet and noise. We found an increase in pitch in late-focus sentences in noise for Dutch speakers in both English and Dutch, and for American-English speakers in English. These results
    show that non-native speakers produce Lombard speech, despite their higher cognitive load. For the early-focus sentences, we found a difference between the Dutch and the American-English speakers. Whereas the Dutch showed an increased F0 in noise
    in English and Dutch, the American-English speakers did not in English. Together, these results suggest that some acoustic characteristics of Lombard speech, such as pitch, may be language-specific, potentially
    resulting in the native language influencing the non-native Lombard speech.
  • Matić, D., Hammond, J., & Van Putten, S. (2016). Left-dislocation, sentences and clauses in Avatime, Tundra Yukaghir and Whitesands. In J. Fleischhauer, A. Latrouite, & R. Osswald (Eds.), Exploring the Syntax-Semantics Interface. Festschrift for Robert D. Van Valin, Jr. (pp. 339-367). Düsseldorf: Düsseldorf University Press.
  • Matić, D. (2016). Tag questions and focus markers: Evidence from the Tompo dialect of Even. In M. M. J. Fernandez-Vest, & R. D. Van Valin Jr. (Eds.), Information structure and spoken language in a cross-linguistic perspective (pp. 167-190). Berlin: Mouton de Gruyter.
  • McQueen, J. M., & Meyer, A. S. (2019). Key issues and future directions: Towards a comprehensive cognitive architecture for language use. In P. Hagoort (Ed.), Human language: From genes and brain to behavior (pp. 85-96). Cambridge, MA: MIT Press.

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