Publications

Displaying 201 - 300 of 382
  • Klein, W., & Vater, H. (1998). The perfect in English and German. In L. Kulikov, & H. Vater (Eds.), Typology of verbal categories: Papers presented to Vladimir Nedjalkov on the occasion of his 70th birthday (pp. 215-235). Tübingen: Niemeyer.
  • Klein, W., & Perdue, C. (1989). The learner's problem of arranging words. In B. MacWhinney, & E. Bates (Eds.), The crosslinguistic study of sentence processing (pp. 292-327). Cambridge: Cambridge University Press.
  • Klein, W. (Ed.). (1982). Zweitspracherwerb [Special Issue]. Zeitschrift für Literaturwissenschaft und Linguistik, (45).
  • Klein, W. (1975). Über Peter Handkes "Kaspar" und einige Fragen der poetischen Kommunikation. In A. Van Kesteren, & H. Schmid (Eds.), Einführende Bibliographie zur modernen Dramentheorie (pp. 300-317). Kronberg/Ts.: Scriptor Verlag.
  • Kuijpers, C. T., Coolen, R., Houston, D., & Cutler, A. (1998). Using the head-turning technique to explore cross-linguistic performance differences. In C. Rovee-Collier, L. Lipsitt, & H. Hayne (Eds.), Advances in infancy research: Vol. 12 (pp. 205-220). Stamford: Ablex.
  • Ladd, D. R., & Cutler, A. (1983). Models and measurements in the study of prosody. In A. Cutler, & D. R. Ladd (Eds.), Prosody: Models and measurements (pp. 1-10). Heidelberg: Springer.
  • Lee, R., Chambers, C. G., Huettig, F., & Ganea, P. A. (2017). Children’s semantic and world knowledge overrides fictional information during anticipatory linguistic processing. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. Davelaar (Eds.), Proceedings of the 39th Annual Meeting of the Cognitive Science Society (CogSci 2017) (pp. 730-735). Austin, TX: Cognitive Science Society.

    Abstract

    Using real-time eye-movement measures, we asked how a fantastical discourse context competes with stored representations of semantic and world knowledge to influence children's and adults' moment-by-moment interpretation of a story. Seven-year- olds were less effective at bypassing stored semantic and world knowledge during real-time interpretation than adults. Nevertheless, an effect of discourse context on comprehension was still apparent.
  • 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. (1989). De connectionistische mode: Symbolische en subsymbolische modellen van het menselijk gedrag. In C. M. Brown, P. Hagoort, & T. Meijering (Eds.), Vensters op de geest: Cognitie op het snijvlak van filosofie en psychologie (pp. 202-219). Utrecht: Stichting Grafiet.
  • Levelt, W. J. M. (1982). Cognitive styles in the use of spatial direction terms. In R. Jarvella, & W. Klein (Eds.), Speech, place, and action: Studies in deixis and related topics (pp. 251-268). Chichester: Wiley.
  • 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. (2004). Language. In G. Adelman, & B. H. Smith (Eds.), Elsevier's encyclopedia of neuroscience [CD-ROM] (3rd). Amsterdam: Elsevier.
  • Levelt, W. J. M. (1987). Hochleistung in Millisekunden - Sprechen und Sprache verstehen. In Jahrbuch der Max-Planck-Gesellschaft (pp. 61-77). Göttingen: Vandenhoeck & Ruprecht.
  • Levelt, W. J. M. (1982). Linearization in describing spatial networks. In S. Peters, & E. Saarinen (Eds.), Processes, beliefs, and questions (pp. 199-220). Dordrecht - Holland: D. Reidel.

    Abstract

    The topic of this paper is the way in which speakers order information in discourse. I will refer to this issue with the term "linearization", and will begin with two types of general remarks. The first one concerns the scope and relevance of the problem with reference to some existing literature. The second set of general remarks will be about the place of linearization in a theory of the speaker. The following, and main part of this paper, will be a summary report of research of linearization in a limited, but well-defined domain of discourse, namely the description of spatial networks.
  • Levelt, W. J. M., & d'Arcais, F. (1987). Snelheid en uniciteit bij lexicale toegang. In H. Crombag, L. Van der Kamp, & C. Vlek (Eds.), De psychologie voorbij: Ontwikkelingen rond model, metriek en methode in de gedragswetenschappen (pp. 55-68). Lisse: Swets & Zeitlinger.
  • Levelt, W. J. M., & Flores d'Arcais, G. B. (1975). Some psychologists' reactions to the Symposium of Dynamic Aspects of Speech Perception. In A. Cohen, & S. Nooteboom (Eds.), Structure and process in speech perception (pp. 345-351). Berlin: Springer.
  • Levelt, W. J. M., & Schriefers, H. (1987). Stages of lexical access. In G. A. Kempen (Ed.), Natural language generation: new results in artificial intelligence, psychology and linguistics (pp. 395-404). Dordrecht: Nijhoff.
  • Levelt, W. J. M. (1975). Systems, skills and language learning. In A. Van Essen, & J. Menting (Eds.), The context of foreign language learning (pp. 83-99). Assen: Van Gorcum.
  • Levelt, W. J. M., & Kempen, G. (1975). Semantic and syntactic aspects of remembering sentences: A review of some recent continental research. In A. Kennedy, & W. Wilkes (Eds.), Studies in long term memory (pp. 201-216). New York: Wiley.
  • Levelt, W. J. M. (1983). The speaker's organization of discourse. In Proceedings of the XIIIth International Congress of Linguists (pp. 278-290).
  • Levelt, W. J. M. (1989). Working models of perception: Five general issues. In B. A. Elsendoorn, & H. Bouma (Eds.), Working models of perception (pp. 489-503). London: Academic Press.
  • Levinson, S. C. (1982). Caste rank and verbal interaction in Western Tamilnadu. In D. B. McGilvray (Ed.), Caste ideology and interaction (pp. 98-203). Cambridge University Press.
  • Levinson, S. C. (1989). Conversation. In E. Barnouw (Ed.), International encyclopedia of communications (pp. 407-410). New York: Oxford University Press.
  • Levinson, S. C. (1998). Deixis. In J. L. Mey (Ed.), Concise encyclopedia of pragmatics (pp. 200-204). Amsterdam: Elsevier.
  • Levinson, S. C. (2004). Deixis. In L. Horn (Ed.), The handbook of pragmatics (pp. 97-121). Oxford: Blackwell.
  • Levinson, S. C. (1998). Minimization and conversational inference. In A. Kasher (Ed.), Pragmatics: Vol. 4 Presupposition, implicature and indirect speech acts (pp. 545-612). London: Routledge.
  • Levinson, S. C. (1987). Minimization and conversational inference. In M. Bertuccelli Papi, & J. Verschueren (Eds.), The pragmatic perspective: Selected papers from the 1985 International Pragmatics Conference (pp. 61-129). Benjamins.
  • 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. (2017). Living with Manny's dangerous idea. In G. Raymond, G. H. Lerner, & J. Heritage (Eds.), Enabling human conduct: Studies of talk-in-interaction in honor of Emanuel A. Schegloff (pp. 327-349). Amsterdam: Benjamins.
  • 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. (1982). Speech act theory: The state of the art. In V. Kinsella (Ed.), Surveys 2. Eight state-of-the-art articles on key areas in language teaching. Cambridge University Press.
  • Levinson, S. C. (2017). Speech acts. In Y. Huang (Ed.), Oxford handbook of pragmatics (pp. 199-216). Oxford: Oxford University Press. doi:10.1093/oxfordhb/9780199697960.013.22.

    Abstract

    The essential insight of speech act theory was that when we use language, we perform actions—in a more modern parlance, core language use in interaction is a form of joint action. Over the last thirty years, speech acts have been relatively neglected in linguistic pragmatics, although important work has been done especially in conversation analysis. Here we review the core issues—the identifying characteristics, the degree of universality, the problem of multiple functions, and the puzzle of speech act recognition. Special attention is drawn to the role of conversation structure, probabilistic linguistic cues, and plan or sequence inference in speech act recognition, and to the centrality of deep recursive structures in sequences of speech acts in conversation

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  • Lindström, E. (2004). Melanesian kinship and culture. In A. Majid (Ed.), Field Manual Volume 9 (pp. 70-73). Nijmegen: Max Planck Institute for Psycholinguistics. doi:10.17617/2.1552190.
  • Little, H., Perlman, M., & Eryilmaz, K. (2017). Repeated interactions can lead to more iconic signals. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. Davelaar (Eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society (CogSci 2017) (pp. 760-765). Austin, TX: Cognitive Science Society.

    Abstract

    Previous research has shown that repeated interactions can cause iconicity in signals to reduce. However, data from several recent studies has shown the opposite trend: an increase in iconicity as the result of repeated interactions. Here, we discuss whether signals may become less or more iconic as a result of the modality used to produce them. We review several recent experimental results before presenting new data from multi-modal signals, where visual input creates audio feedback. Our results show that the growth in iconicity present in the audio information may come at a cost to iconicity in the visual information. Our results have implications for how we think about and measure iconicity in artificial signalling experiments. Further, we discuss how iconicity in real world speech may stem from auditory, kinetic or visual information, but iconicity in these different modalities may conflict.
  • Little, H. (Ed.). (2017). Special Issue on the Emergence of Sound Systems [Special Issue]. The Journal of Language Evolution, 2(1).
  • 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.
  • 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., Van Staden, M., & Enfield, N. J. (2004). The human body in cognition, brain, and typology. In K. Hovie (Ed.), Forum Handbook, 4th International Forum on Language, Brain, and Cognition - Cognition, Brain, and Typology: Toward a Synthesis (pp. 31-35). Sendai: Tohoku University.

    Abstract

    The human body is unique: it is both an object of perception and the source of human experience. Its universality makes it a perfect resource for asking questions about how cognition, brain and typology relate to one another. For example, we can ask how speakers of different languages segment and categorize the human body. A dominant view is that body parts are “given” by visual perceptual discontinuities, and that words are merely labels for these visually determined parts (e.g., Andersen, 1978; Brown, 1976; Lakoff, 1987). However, there are problems with this view. First it ignores other perceptual information, such as somatosensory and motoric representations. By looking at the neural representations of sesnsory representations, we can test how much of the categorization of the human body can be done through perception alone. Second, we can look at language typology to see how much universality and variation there is in body-part categories. A comparison of a range of typologically, genetically and areally diverse languages shows that the perceptual view has only limited applicability (Majid, Enfield & van Staden, in press). For example, using a “coloring-in” task, where speakers of seven different languages were given a line drawing of a human body and asked to color in various body parts, Majid & van Staden (in prep) show that languages vary substantially in body part segmentation. For example, Jahai (Mon-Khmer) makes a lexical distinction between upper arm, lower arm, and hand, but Lavukaleve (Papuan Isolate) has just one word to refer to arm, hand, and leg. This shows that body part categorization is not a straightforward mapping of words to visually determined perceptual parts.
  • Majid, A., & Enfield, N. J. (2017). Body. In H. Burkhardt, J. Seibt, G. Imaguire, & S. Gerogiorgakis (Eds.), Handbook of mereology (pp. 100-103). Munich: Philosophia.
  • Majid, A., Van Staden, M., Boster, J. S., & Bowerman, M. (2004). Event categorization: A cross-linguistic perspective. In K. Forbus, D. Gentner, & T. Tegier (Eds.), Proceedings of the 26th Annual Meeting of the Cognitive Science Society (pp. 885-890). Mahwah, NJ: Erlbaum.

    Abstract

    Many studies in cognitive science address how people categorize objects, but there has been comparatively little research on event categorization. This study investigated the categorization of events involving material destruction, such as “cutting” and “breaking”. Speakers of 28 typologically, genetically, and areally diverse languages described events shown in a set of video-clips. There was considerable cross-linguistic agreement in the dimensions along which the events were distinguished, but there was variation in the number of categories and the placement of their boundaries.
  • Majid, A., Manko, P., & De Valk, J. (2017). Language of the senses. In S. Dekker (Ed.), Scientific breakthroughs in the classroom! (pp. 40-76). Nijmegen: Science Education Hub Radboud University.

    Abstract

    The project that we describe in this chapter has the theme ‘Language of the senses’. This theme is
    based on the research of Asifa Majid and her team regarding the influence of language and culture on
    sensory perception. The chapter consists of two sections. Section 2.1 describes how different sensory
    perceptions are spoken of in different languages. Teachers can use this section as substantive preparation
    before they launch this theme in the classroom. Section 2.2 describes how teachers can handle
    this theme in accordance with the seven phases of inquiry-based learning. Chapter 1, in which the
    general guideline of the seven phases is described, forms the basis for this. We therefore recommend
    the use of chapter 1 as the starting point for the execution of a project in the classroom. This chapter
    provides the thematic additions.

    Additional information

    Materials Language of the senses
  • Majid, A., Manko, P., & de Valk, J. (2017). Taal der Zintuigen. In S. Dekker, & J. Van Baren-Nawrocka (Eds.), Wetenschappelijke doorbraken de klas in! Molecuulbotsingen, Stress en Taal der Zintuigen (pp. 128-166). Nijmegen: Wetenschapsknooppunt Radboud Universiteit.

    Abstract

    Taal der zintuigen gaat over de invloed van taal en cultuur op zintuiglijke waarnemingen. Hoe omschrijf je wat je ziet, voelt, proeft of ruikt? In sommige culturen zijn er veel verschillende woorden voor kleur, in andere culturen juist weer heel weinig. Worden we geboren met deze verschillende kleurgroepen? En bepaalt hoe je ergens over praat ook wat je waarneemt?
  • Majid, A. (2019). Preface. In L. J. Speed, C. O'Meara, L. San Roque, & A. Majid (Eds.), Perception Metaphors (pp. vii-viii). Amsterdam: Benjamins.
  • 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.
  • Maslowski, M., Meyer, A. S., & Bosker, H. R. (2017). Whether long-term tracking of speech rate affects perception depends on who is talking. In Proceedings of Interspeech 2017 (pp. 586-590). doi:10.21437/Interspeech.2017-1517.

    Abstract

    Speech rate is known to modulate perception of temporally ambiguous speech sounds. For instance, a vowel may be perceived as short when the immediate speech context is slow, but as long when the context is fast. Yet, effects of long-term tracking of speech rate are largely unexplored. Two experiments tested whether long-term tracking of rate influences perception of the temporal Dutch vowel contrast /ɑ/-/a:/. In Experiment 1, one low-rate group listened to 'neutral' rate speech from talker A and to slow speech from talker B. Another high-rate group was exposed to the same neutral speech from A, but to fast speech from B. Between-group comparison of the 'neutral' trials revealed that the low-rate group reported a higher proportion of /a:/ in A's 'neutral' speech, indicating that A sounded faster when B was slow. Experiment 2 tested whether one's own speech rate also contributes to effects of long-term tracking of rate. Here, talker B's speech was replaced by playback of participants' own fast or slow speech. No evidence was found that one's own voice affected perception of talker A in larger speech contexts. These results carry implications for our understanding of the mechanisms involved in rate-dependent speech perception and of dialogue.
  • Matsuo, A. (2004). Young children's understanding of ongoing vs. completion in present and perfective participles. In J. v. Kampen, & S. Baauw (Eds.), Proceedings of GALA 2003 (pp. 305-316). Utrecht: Netherlands Graduate School of Linguistics (LOT).
  • McDonough, L., Choi, S., Bowerman, M., & Mandler, J. M. (1998). The use of preferential looking as a measure of semantic development. In C. Rovee-Collier, L. P. Lipsitt, & H. Hayne (Eds.), Advances in Infancy Research. Volume 12. (pp. 336-354). Stamford, CT: Ablex Publishing.
  • McQueen, J. M., & Cutler, A. (1998). Morphology in word recognition. In A. M. Zwicky, & A. Spencer (Eds.), The handbook of morphology (pp. 406-427). Oxford: Blackwell.
  • 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.
  • McQueen, J. M., & Cutler, A. (1998). Spotting (different kinds of) words in (different kinds of) context. In R. Mannell, & J. Robert-Ribes (Eds.), Proceedings of the Fifth International Conference on Spoken Language Processing: Vol. 6 (pp. 2791-2794). Sydney: ICSLP.

    Abstract

    The results of a word-spotting experiment are presented in which Dutch listeners tried to spot different types of bisyllabic Dutch words embedded in different types of nonsense contexts. Embedded verbs were not reliably harder to spot than embedded nouns; this suggests that nouns and verbs are recognised via the same basic processes. Iambic words were no harder to spot than trochaic words, suggesting that trochaic words are not in principle easier to recognise than iambic words. Words were harder to spot in consonantal contexts (i.e., contexts which themselves could not be words) than in longer contexts which contained at least one vowel (i.e., contexts which, though not words, were possible words of Dutch). A control experiment showed that this difference was not due to acoustic differences between the words in each context. The results support the claim that spoken-word recognition is sensitive to the viability of sound sequences as possible words.
  • Merkx, D., Frank, S., & Ernestus, M. (2019). Language learning using speech to image retrieval. In Proceedings of Interspeech 2019 (pp. 1841-1845). doi:10.21437/Interspeech.2019-3067.

    Abstract

    Humans learn language by interaction with their environment and listening to other humans. It should also be possible for computational models to learn language directly from speech but so far most approaches require text. We improve on existing neural network approaches to create visually grounded embeddings for spoken utterances. Using a combination of a multi-layer GRU, importance sampling, cyclic learning rates, ensembling and vectorial self-attention our results show a remarkable increase in image-caption retrieval performance over previous work. Furthermore, we investigate which layers in the model learn to recognise words in the input. We find that deeper network layers are better at encoding word presence, although the final layer has slightly lower performance. This shows that our visually grounded sentence encoder learns to recognise words from the input even though it is not explicitly trained for word recognition.
  • Meyer, A. S. (2004). The use of eye tracking in studies of sentence generation. In J. M. Henderson, & F. Ferreira (Eds.), The interface of language, vision, and action: Eye movements and the visual world (pp. 191-212). Hove: Psychology Press.
  • Moisik, S. R., Zhi Yun, D. P., & Dediu, D. (2019). Active adjustment of the cervical spine during pitch production compensates for shape: The ArtiVarK study. In S. Calhoun, P. Escudero, M. Tabain, & P. Warren (Eds.), Proceedings of the 19th International Congress of Phonetic Sciences (ICPhS 20195) (pp. 864-868). Canberra, Australia: Australasian Speech Science and Technology Association Inc.

    Abstract

    The anterior lordosis of the cervical spine is thought
    to contribute to pitch (fo) production by influencing
    cricoid rotation as a function of larynx height. This
    study examines the matter of inter-individual
    variation in cervical spine shape and whether this has
    an influence on how fo is produced along increasing
    or decreasing scales, using the ArtiVarK dataset,
    which contains real-time MRI pitch production data.
    We find that the cervical spine actively participates in
    fo production, but the amount of displacement
    depends on individual shape. In general, anterior
    spine motion (tending toward cervical lordosis)
    occurs for low fo, while posterior movement (tending
    towards cervical kyphosis) occurs for high fo.
  • Monaghan, P., Brand, J., Frost, R. L. A., & Taylor, G. (2017). Multiple variable cues in the environment promote accurate and robust word learning. In G. Gunzelman, A. Howes, T. Tenbrink, & E. Davelaar (Eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society (CogSci 2017) (pp. 817-822). Retrieved from https://mindmodeling.org/cogsci2017/papers/0164/index.html.

    Abstract

    Learning how words refer to aspects of the environment is a complex task, but one that is supported by numerous cues within the environment which constrain the possibilities for matching words to their intended referents. In this paper we tested the predictions of a computational model of multiple cue integration for word learning, that predicted variation in the presence of cues provides an optimal learning situation. In a cross-situational learning task with adult participants, we varied the reliability of presence of distributional, prosodic, and gestural cues. We found that the best learning occurred when cues were often present, but not always. The effect of variability increased the salience of individual cues for the learner, but resulted in robust learning that was not vulnerable to individual cues’ presence or absence. Thus, variability of multiple cues in the language-learning environment provided the optimal circumstances for word learning.
  • Naffah, N., Kempen, G., Rohmer, J., Steels, L., Tsichritzis, D., & White, G. (1985). Intelligent Workstation in the office: State of the art and future perspectives. In J. Roukens, & J. Renuart (Eds.), Esprit '84: Status report of ongoing work (pp. 365-378). Amsterdam: Elsevier Science Publishers.
  • Narasimhan, B., Bowerman, M., Brown, P., Eisenbeiss, S., & Slobin, D. I. (2004). "Putting things in places": Effekte linguisticher Typologie auf die Sprachentwicklung. In G. Plehn (Ed.), Jahrbuch der Max-Planck Gesellschaft (pp. 659-663). Göttingen: Vandenhoeck & Ruprecht.

    Abstract

    Effekte linguisticher Typologie auf die Sprach-entwicklung. In G. Plehn (Ed.), Jahrbuch der Max-Planck Gesellsch
  • Neijt, A., Schreuder, R., & Baayen, R. H. (2004). Seven years later: The effect of spelling on interpretation. In L. Cornips, & J. Doetjes (Eds.), Linguistics in the Netherlands 2004 (pp. 134-145). Amsterdam: Benjamins.
  • Nijveld, A., Ten Bosch, L., & Ernestus, M. (2019). ERP signal analysis with temporal resolution using a time window bank. In Proceedings of Interspeech 2019 (pp. 1208-1212). doi:10.21437/Interspeech.2019-2729.

    Abstract

    In order to study the cognitive processes underlying speech comprehension, neuro-physiological measures (e.g., EEG and MEG), or behavioural measures (e.g., reaction times and response accuracy) can be applied. Compared to behavioural measures, EEG signals can provide a more fine-grained and complementary view of the processes that take place during the unfolding of an auditory stimulus.

    EEG signals are often analysed after having chosen specific time windows, which are usually based on the temporal structure of ERP components expected to be sensitive to the experimental manipulation. However, as the timing of ERP components may vary between experiments, trials, and participants, such a-priori defined analysis time windows may significantly hamper the exploratory power of the analysis of components of interest. In this paper, we explore a wide-window analysis method applied to EEG signals collected in an auditory repetition priming experiment.

    This approach is based on a bank of temporal filters arranged along the time axis in combination with linear mixed effects modelling. Crucially, it permits a temporal decomposition of effects in a single comprehensive statistical model which captures the entire EEG trace.
  • Noordman, L. G., & Vonk, W. (1998). Discourse comprehension. In A. D. Friederici (Ed.), Language comprehension: a biological perspective (pp. 229-262). Berlin: Springer.

    Abstract

    The human language processor is conceived as a system that consists of several interrelated subsystems. Each subsystem performs a specific task in the complex process of language comprehension and production. A subsystem receives a particular input, performs certain specific operations on this input and yields a particular output. The subsystems can be characterized in terms of the transformations that relate the input representations to the output representations. An important issue in describing the language processing system is to identify the subsystems and to specify the relations between the subsystems. These relations can be conceived in two different ways. In one conception the subsystems are autonomous. They are related to each other only by the input-output channels. The operations in one subsystem are not affected by another system. The subsystems are modular, that is they are independent. In the other conception, the different subsystems influence each other. A subsystem affects the processes in another subsystem. In this conception there is an interaction between the subsystems.
  • O'Connor, L. (2004). Going getting tired: Associated motion through space and time in Lowland Chontal. In M. Achard, & S. Kemmer (Eds.), Language, culture and mind (pp. 181-199). Stanford: CSLI.
  • O'Meara, C., & Majid, A. (2017). El léxico olfativo en la lengua seri. In A. L. M. D. Ruiz, & A. Z. Pérez (Eds.), La Dimensión Sensorial de la Cultura: Diez contribuciones al estudio de los sentidos en México. (pp. 101-118). Mexico City: Universidad Autónoma Metropolitana.
  • O'Meara, C., Speed, L. J., San Roque, L., & Majid, A. (2019). Perception Metaphors: A view from diversity. In L. J. Speed, C. O'Meara, L. San Roque, & A. Majid (Eds.), Perception Metaphors (pp. 1-16). Amsterdam: Benjamins.

    Abstract

    Our bodily experiences play an important role in the way that we think and speak. Abstract language is, however, difficult to reconcile with this body-centred view, unless we appreciate the role metaphors play. To explore the role of the senses across semantic domains, we focus on perception metaphors, and examine their realisation across diverse languages, methods, and approaches. To what extent do mappings in perception metaphor adhere to predictions based on our biological propensities; and to what extent is there space for cross-linguistic and cross-cultural variation? We find that while some metaphors have widespread commonality, there is more diversity attested than should be comfortable for universalist accounts.
  • Ortega, G., Schiefner, A., & Ozyurek, A. (2017). Speakers’ gestures predict the meaning and perception of iconicity in signs. In G. Gunzelmann, A. Howe, & T. Tenbrink (Eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society (CogSci 2017) (pp. 889-894). Austin, TX: Cognitive Science Society.

    Abstract

    Sign languages stand out in that there is high prevalence of
    conventionalised linguistic forms that map directly to their
    referent (i.e., iconic). Hearing adults show low performance
    when asked to guess the meaning of iconic signs suggesting
    that their iconic features are largely inaccessible to them.
    However, it has not been investigated whether speakers’
    gestures, which also share the property of iconicity, may
    assist non-signers in guessing the meaning of signs. Results
    from a pantomime generation task (Study 1) show that
    speakers’ gestures exhibit a high degree of systematicity, and
    share different degrees of form overlap with signs (full,
    partial, and no overlap). Study 2 shows that signs with full
    and partial overlap are more accurately guessed and are
    assigned higher iconicity ratings than signs with no overlap.
    Deaf and hearing adults converge in their iconic depictions
    for some concepts due to the shared conceptual knowledge
    and manual-visual modality.
  • Ozyurek, A. (1998). An analysis of the basic meaning of Turkish demonstratives in face-to-face conversational interaction. In S. Santi, I. Guaitella, C. Cave, & G. Konopczynski (Eds.), Oralite et gestualite: Communication multimodale, interaction: actes du colloque ORAGE 98 (pp. 609-614). Paris: L'Harmattan.
  • Ozyurek, A. (2017). Function and processing of gesture in the context of language. In R. B. Church, M. W. Alibali, & S. D. Kelly (Eds.), Why gesture? How the hands function in speaking, thinking and communicating (pp. 39-58). Amsterdam: John Benjamins Publishing. doi:10.1075/gs.7.03ozy.

    Abstract

    Most research focuses function of gesture independent of its link to the speech it accompanies and the coexpressive functions it has together with speech. This chapter instead approaches gesture in relation to its communicative function in relation to speech, and demonstrates how it is shaped by the linguistic encoding of a speaker’s message. Drawing on crosslinguistic research with adults and children as well as bilinguals on iconic/pointing gesture production it shows that the specific language speakers use modulates the rate and the shape of the iconic gesture production of the same events. The findings challenge the claims aiming to understand gesture’s function for “thinking only” in adults and during development.
  • Ozyurek, A., & Woll, B. (2019). Language in the visual modality: Cospeech gesture and sign language. In P. Hagoort (Ed.), Human language: From genes and brain to behavior (pp. 67-83). Cambridge, MA: MIT Press.
  • Parhammer*, S. I., Ebersberg*, M., Tippmann*, J., Stärk*, K., Opitz, A., Hinger, B., & Rossi, S. (2019). The influence of distraction on speech processing: How selective is selective attention? In Proceedings of Interspeech 2019 (pp. 3093-3097). doi:10.21437/Interspeech.2019-2699.

    Abstract

    -* indicates shared first authorship -
    The present study investigated the effects of selective attention on the processing of morphosyntactic errors in unattended parts of speech. Two groups of German native (L1) speakers participated in the present study. Participants listened to sentences in which irregular verbs were manipulated in three different conditions (correct, incorrect but attested ablaut pattern, incorrect and crosslinguistically unattested ablaut pattern). In order to track fast dynamic neural reactions to the stimuli, electroencephalography was used. After each sentence, participants in Experiment 1 performed a semantic judgement task, which deliberately distracted the participants from the syntactic manipulations and directed their attention to the semantic content of the sentence. In Experiment 2, participants carried out a syntactic judgement task, which put their attention on the critical stimuli. The use of two different attentional tasks allowed for investigating the impact of selective attention on speech processing and whether morphosyntactic processing steps are performed automatically. In Experiment 2, the incorrect attested condition elicited a larger N400 component compared to the correct condition, whereas in Experiment 1 no differences between conditions were found. These results suggest that the processing of morphosyntactic violations in irregular verbs is not entirely automatic but seems to be strongly affected by selective attention.
  • Patterson, R. D., & Cutler, A. (1989). Auditory preprocessing and recognition of speech. In A. Baddeley, & N. Bernsen (Eds.), Research directions in cognitive science: A european perspective: Vol. 1. Cognitive psychology (pp. 23-60). London: Erlbaum.
  • Perlman, M., Fusaroli, R., Fein, D., & Naigles, L. (2017). The use of iconic words in early child-parent interactions. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. Davelaar (Eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society (CogSci 2017) (pp. 913-918). Austin, TX: Cognitive Science Society.

    Abstract

    This paper examines the use of iconic words in early conversations between children and caregivers. The longitudinal data include a span of six observations of 35 children-parent dyads in the same semi-structured activity. Our findings show that children’s speech initially has a high proportion of iconic words, and over time, these words become diluted by an increase of arbitrary words. Parents’ speech is also initially high in iconic words, with a decrease in the proportion of iconic words over time – in this case driven by the use of fewer iconic words. The level and development of iconicity are related to individual differences in the children’s cognitive skills. Our findings fit with the hypothesis that iconicity facilitates early word learning and may play an important role in learning to produce new words.
  • Piai, V., & Zheng, X. (2019). Speaking waves: Neuronal oscillations in language production. In K. D. Federmeier (Ed.), Psychology of Learning and Motivation (pp. 265-302). Elsevier.

    Abstract

    Language production involves the retrieval of information from memory, the planning of an articulatory program, and executive control and self-monitoring. These processes can be related to the domains of long-term memory, motor control, and executive control. Here, we argue that studying neuronal oscillations provides an important opportunity to understand how general neuronal computational principles support language production, also helping elucidate relationships between language and other domains of cognition. For each relevant domain, we provide a brief review of the findings in the literature with respect to neuronal oscillations. Then, we show how similar patterns are found in the domain of language production, both through review of previous literature and novel findings. We conclude that neurophysiological mechanisms, as reflected in modulations of neuronal oscillations, may act as a fundamental basis for bringing together and enriching the fields of language and cognition.
  • Poletiek, F. H., & Stolker, C. J. J. M. (2004). Who decides the worth of an arm and a leg? Assessing the monetary value of nonmonetary damage. In E. Kurz-Milcke, & G. Gigerenzer (Eds.), Experts in science and society (pp. 201-213). New York: Kluwer Academic/Plenum Publishers.
  • Popov, V., Ostarek, M., & Tenison, C. (2017). Inferential Pitfalls in Decoding Neural Representations. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. Davelaar (Eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society (CogSci 2017) (pp. 961-966). Austin, TX: Cognitive Science Society.

    Abstract

    A key challenge for cognitive neuroscience is to decipher the representational schemes of the brain. A recent class of decoding algorithms for fMRI data, stimulus-feature-based encoding models, is becoming increasingly popular for inferring the dimensions of neural representational spaces from stimulus-feature spaces. We argue that such inferences are not always valid, because decoding can occur even if the neural representational space and the stimulus-feature space use different representational schemes. This can happen when there is a systematic mapping between them. In a simulation, we successfully decoded the binary representation of numbers from their decimal features. Since binary and decimal number systems use different representations, we cannot conclude that the binary representation encodes decimal features. The same argument applies to the decoding of neural patterns from stimulus-feature spaces and we urge caution in inferring the nature of the neural code from such methods. We discuss ways to overcome these inferential limitations.
  • Pouw, W., Paxton, A., Harrison, S. J., & Dixon, J. A. (2019). Acoustic specification of upper limb movement in voicing. In A. Grimminger (Ed.), Proceedings of the 6th Gesture and Speech in Interaction – GESPIN 6 (pp. 68-74). Paderborn: Universitaetsbibliothek Paderborn. doi:10.17619/UNIPB/1-812.
  • Pouw, W., Aslanidou, A., Kamermans, K. L., & Paas, F. (2017). Is ambiguity detection in haptic imagery possible? Evidence for Enactive imaginings. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. Davelaar (Eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society (CogSci 2017) (pp. 2925-2930). Austin, TX: Cognitive Science Society.

    Abstract

    A classic discussion about visual imagery is whether it affords reinterpretation, like discovering two interpretations in the duck/rabbit illustration. Recent findings converge on reinterpretation being possible in visual imagery, suggesting functional equivalence with pictorial representations. However, it is unclear whether such reinterpretations are necessarily a visual-pictorial achievement. To assess this, 68 participants were briefly presented 2-d ambiguous figures. One figure was presented visually, the other via manual touch alone. Afterwards participants mentally rotated the memorized figures as to discover a novel interpretation. A portion (20.6%) of the participants detected a novel interpretation in visual imagery, replicating previous research. Strikingly, 23.6% of participants were able to reinterpret figures they had only felt. That reinterpretation truly involved haptic processes was further supported, as some participants performed co-thought gestures on an imagined figure during retrieval. These results are promising for further development of an Enactivist approach to imagination.
  • Pouw, W., & Dixon, J. A. (2019). Quantifying gesture-speech synchrony. In A. Grimminger (Ed.), Proceedings of the 6th Gesture and Speech in Interaction – GESPIN 6 (pp. 75-80). Paderborn: Universitaetsbibliothek Paderborn. doi:10.17619/UNIPB/1-812.

    Abstract

    Spontaneously occurring speech is often seamlessly accompanied by hand gestures. Detailed
    observations of video data suggest that speech and gesture are tightly synchronized in time,
    consistent with a dynamic interplay between body and mind. However, spontaneous gesturespeech
    synchrony has rarely been objectively quantified beyond analyses of video data, which
    do not allow for identification of kinematic properties of gestures. Consequently, the point in
    gesture which is held to couple with speech, the so-called moment of “maximum effort”, has
    been variably equated with the peak velocity, peak acceleration, peak deceleration, or the onset
    of the gesture. In the current exploratory report, we provide novel evidence from motiontracking
    and acoustic data that peak velocity is closely aligned, and shortly leads, the peak pitch
    (F0) of speech

    Additional information

    https://osf.io/9843h/
  • Randall, J., Van Hout, A., Weissenborn, J., & Baayen, R. H. (2004). Acquiring unaccusativity: A cross-linguistic look. In A. Alexiadou (Ed.), The unaccusativity puzzle (pp. 332-353). Oxford: Oxford University Press.
  • Ravignani, A., Chiandetti, C., & Kotz, S. (2019). Rhythm and music in animal signals. In J. Choe (Ed.), Encyclopedia of Animal Behavior (vol. 1) (2nd ed., pp. 615-622). Amsterdam: Elsevier.
  • Reesink, G. (2004). Interclausal relations. In G. Booij (Ed.), Morphologie / morphology (pp. 1202-1207). Berlin: Mouton de Gruyter.
  • Rissman, L., & Majid, A. (2019). Agency drives category structure in instrumental events. In A. K. Goel, C. M. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Meeting of the Cognitive Science Society (CogSci 2019) (pp. 2661-2667). Montreal, QB: Cognitive Science Society.

    Abstract

    Thematic roles such as Agent and Instrument have a long-standing place in theories of event representation. Nonetheless, the structure of these categories has been difficult to determine. We investigated how instrumental events, such as someone slicing bread with a knife, are categorized in English. Speakers described a variety of typical and atypical instrumental events, and we determined the similarity structure of their descriptions using correspondence analysis. We found that events where the instrument is an extension of an intentional agent were most likely to elicit similar language, highlighting the importance of agency in structuring instrumental categories.
  • Roelofs, A. (2004). The seduced speaker: Modeling of cognitive control. In A. Belz, R. Evans, & P. Piwek (Eds.), Natural language generation. (pp. 1-10). Berlin: Springer.

    Abstract

    Although humans are the ultimate “natural language generators”, the area of psycholinguistic modeling has been somewhat underrepresented in recent approaches to Natural Language Generation in computer science. To draw attention to the area and illustrate its potential relevance to Natural Language Generation, I provide an overview of recent work on psycholinguistic modeling of language production together with some key empirical findings, state-of-the-art experimental techniques, and their historical roots. The techniques include analyses of speech-error corpora, chronometric analyses, eyetracking, and neuroimaging.
    The overview is built around the issue of cognitive control in natural language generation, concentrating on the production of single words, which is an essential ingredient of the generation of larger utterances. Most of the work exploited the fact that human speakers are good but not perfect at resisting temptation, which has provided some critical clues about the nature of the underlying system.
  • Roelofs, A., & Schiller, N. (2004). Produzieren von Ein- und Mehrwortäusserungen. In G. Plehn (Ed.), Jahrbuch der Max-Planck Gesellschaft (pp. 655-658). Göttingen: Vandenhoeck & Ruprecht.
  • Rojas-Berscia, L. M., & Shi, J. A. (2017). Hakka as spoken in Suriname. In K. Yakpo, & P. C. Muysken (Eds.), Boundaries and bridges: Language contact in multilingual ecologies (pp. 179-196). Berlin: De Gruyter.
  • Rojas-Berscia, L. M. (2019). Nominalization in Shawi/Chayahuita. In R. Zariquiey, M. Shibatani, & D. W. Fleck (Eds.), Nominalization in languages of the Americas (pp. 491-514). Amsterdam: Benjamins.

    Abstract

    This paper deals with the Shawi nominalizing suffixes -su’~-ru’~-nu’ ‘general nominalizer’, -napi/-te’/-tun‘performer/agent nominalizer’, -pi’‘patient nominalizer’, and -nan ‘instrument nominalizer’. The goal of this article is to provide a description of nominalization in Shawi. Throughout this paper I apply the Generalized Scale Model (GSM) (Malchukov, 2006) to Shawi verbal nominalizations, with the intention of presenting a formal representation that will provide a basis for future areal and typological studies of nominalization. In addition, I dialogue with Shibatani’s model to see how the loss or gain of categories correlates with the lexical or grammatical nature of nominalizations. strong nominalization in Shawi correlates with lexical nominalization, whereas weak nominalizations correlate with grammatical nominalization. A typology which takes into account the productivity of the nominalizers is also discussed.
  • Rossi, G., & Zinken, J. (2017). Social agency and grammar. In N. J. Enfield, & P. Kockelman (Eds.), Distributed agency: The sharing of intention, cause, and accountability (pp. 79-86). New York: Oxford University Press.

    Abstract

    One of the most conspicuous ways in which people distribute agency among each other is by asking another for help. Natural languages give people a range of forms to do this, the distinctions among which have consequences for how agency is distributed. Forms such as imperatives (e.g. ‘pass the salt’) and recurrent types of interrogatives (e.g. ‘can you pass the salt?’) designate another person as the doer of the action. In contrast to this, impersonal deontic statements (e.g. ‘it is necessary to get the salt’) express the need for an action without tying it to any particular individual. This can generate interactions in which the identity of the doer must be sorted out among participants, allowing us to observe the distribution of agency in vivo. The case of impersonal deontic statements demonstrates the importance of grammar as a resource for managing human action and sociality.
  • Rossi, G. (2017). Secondary and deviant uses of the imperative for requesting in Italian. In M.-L. Sorjonen, L. Raevaara, & E. Couper-Kuhlen (Eds.), Imperative turns at talk: The design of directives in action (pp. 103-137). Amsterdam: John Benjamins.

    Abstract

    The use of the imperative for requesting has been mostly explained on the basis of estimations of social distance, relative power, and entitlement. More recent research, however, has identified other selection factors to do with the functional and sequential relation of the action requested to the trajectory of the ongoing interaction. In everyday activities among family and friends, the imperative is typically warranted by an earlier commitment of the requestee to a joint project or shared goal which the action requested contributes to. The chapter argues this to be the primary use of the imperative for requesting in Italian informal interaction, and distinguishes it from other uses of the imperative that do not conform to the predominant pattern. These other uses are of two kinds: (i) secondary, that is, less frequent and formally marked imperatives that still orient to social-interactional conditions supporting an expectation of compliance, and (ii) deviant, where the imperative is selected in deliberate violation of the social-interactional conditions that normally support it, attracting special attention and accomplishing more than just requesting. This study extends prior findings on the functional distribution of imperative requests and makes a point of relating and classifying distinct uses of a same form of action, offering new insights into more general aspects of language use such as markedness and normativity.
  • Rowland, C. F., & Kidd, E. (2019). Key issues and future directions: How do children acquire language? In P. Hagoort (Ed.), Human language: From genes and brain to behavior (pp. 181-185). Cambridge, MA: MIT Press.
  • Rubio-Fernández, P. (2019). Theory of mind. In C. Cummins, & N. Katsos (Eds.), The Handbook of Experimental Semantics and Pragmatics (pp. 524-536). Oxford: Oxford University Press.
  • De Ruiter, J. P. (2004). On the primacy of language in multimodal communication. In Workshop Proceedings on Multimodal Corpora: Models of Human Behaviour for the Specification and Evaluation of Multimodal Input and Output Interfaces.(LREC2004) (pp. 38-41). Paris: ELRA - European Language Resources Association (CD-ROM).

    Abstract

    In this paper, I will argue that although the study of multimodal interaction offers exciting new prospects for Human Computer Interaction and human-human communication research, language is the primary form of communication, even in multimodal systems. I will support this claim with theoretical and empirical arguments, mainly drawn from human-human communication research, and will discuss the implications for multimodal communication research and Human-Computer Interaction.
  • De Ruiter, J. P. (2004). Response systems and signals of recipiency. In A. Majid (Ed.), Field Manual Volume 9 (pp. 53-55). Nijmegen: Max Planck Institute for Psycholinguistics. doi:10.17617/2.506961.

    Abstract

    Listeners’ signals of recipiency, such as “Mm-hm” or “uh-huh” in English, are the most elementary or minimal “conversational turns” possible. Minimal, because apart from acknowledging recipiency and inviting the speaker to continue with his/her next turn, they do not add any new information to the discourse of the conversation. The goal of this project is to gather cross cultural information on listeners’ feedback behaviour during conversation. Listeners in a conversation usually provide short signals that indicate to the speaker that they are still “with the speaker”. These signals could be verbal (like for instance “mm hm” in English or “hm hm” in Dutch) or nonverbal (visual), like nodding. Often, these signals are produced in overlap with the speaker’s vocalisation. If listeners do not produce these signals, speakers often invite them explicitly (e.g. “are you still there?” in a telephone conversation). Our goal is to investigate what kind of signals are used by listeners of different languages to signal “recipiency” to the speaker.
  • Sauter, D., Scott, S., & Calder, A. (2004). Categorisation of vocally expressed positive emotion: A first step towards basic positive emotions? [Abstract]. Proceedings of the British Psychological Society, 12, 111.

    Abstract

    Most of the study of basic emotion expressions has focused on facial expressions and little work has been done to specifically investigate happiness, the only positive of the basic emotions (Ekman & Friesen, 1971). However, a theoretical suggestion has been made that happiness could be broken down into discrete positive emotions, which each fulfil the criteria of basic emotions, and that these would be expressed vocally (Ekman, 1992). To empirically test this hypothesis, 20 participants categorised 80 paralinguistic sounds using the labels achievement, amusement, contentment, pleasure and relief. The results suggest that achievement, amusement and relief are perceived as distinct categories, which subjects accurately identify. In contrast, the categories of contentment and pleasure were systematically confused with other responses, although performance was still well above chance levels. These findings are initial evidence that the positive emotions engage distinct vocal expressions and may be considered to be distinct emotion categories.
  • Scharenborg, O., Boves, L., & Ten Bosch, L. (2004). ‘On-line early recognition’ of polysyllabic words in continuous speech. In S. Cassidy, F. Cox, R. Mannell, & P. Sallyanne (Eds.), Proceedings of the Tenth Australian International Conference on Speech Science & Technology (pp. 387-392). Canberra: Australian Speech Science and Technology Association Inc.

    Abstract

    In this paper, we investigate the ability of SpeM, our recognition system based on the combination of an automatic phone recogniser and a wordsearch module, to determine as early as possible during the word recognition process whether a word is likely to be recognised correctly (this we refer to as ‘on-line’ early word recognition). We present two measures that can be used to predict whether a word is correctly recognised: the Bayesian word activation and the amount of available (acoustic) information for a word. SpeM was tested on 1,463 polysyllabic words in 885 continuous speech utterances. The investigated predictors indicated that a word activation that is 1) high (but not too high) and 2) based on more phones is more reliable to predict the correctness of a word than a similarly high value based on a small number of phones or a lower value of the word activation.
  • Schiller, N. O., & Verdonschot, R. G. (2017). Is bilingual speech production language-specific or non-specific? The case of gender congruency in Dutch – English bilinguals. In H. Reckman, L.-L.-S. Cheng, M. Hijzelendoorn, & R. Sybesma (Eds.), Crossroads semantics: Computation, experiment and grammar (pp. 139-154). Amsterdam: Benjamins.

    Abstract

    The present paper looks at semantic interference and gender congruency effects during bilingual picture-word naming. According to Costa, Miozzo & Caramazza (1999), only the activation from lexical nodes within a language is considered during lexical selection. If this is accurate, these findings should uphold with respect to semantic and gender/determiner effects even though the distractors are in another language. In the present study three effects were found, (1) a main effect of language, (2) semantic effects for both target language and non-target language distractors, and (3) gender congruency effects for targets with target-language distractors only. These findings are at odds with the language-specific proposal of Costa et al. (1999). Implications of these findings are discussed.
  • Schmitt, B. M., Schiller, N. O., Rodriguez-Fornells, A., & Münte, T. F. (2004). Elektrophysiologische Studien zum Zeitverlauf von Sprachprozessen. In H. H. Müller, & G. Rickheit (Eds.), Neurokognition der Sprache (pp. 51-70). Tübingen: Stauffenburg.
  • Schoenmakers, G.-J., & De Swart, P. (2019). Adverbial hurdles in Dutch scrambling. In A. Gattnar, R. Hörnig, M. Störzer, & S. Featherston (Eds.), Proceedings of Linguistic Evidence 2018: Experimental Data Drives Linguistic Theory (pp. 124-145). Tübingen: University of Tübingen.

    Abstract

    This paper addresses the role of the adverb in Dutch direct object scrambling constructions. We report four experiments in which we investigate whether the structural position and the scope sensitivity of the adverb affect acceptability judgments of scrambling constructions and native speakers' tendency to scramble definite objects. We conclude that the type of adverb plays a key role in Dutch word ordering preferences.
  • Schuerman, W. L., McQueen, J. M., & Meyer, A. S. (2019). Speaker statistical averageness modulates word recognition in adverse listening conditions. In S. Calhoun, P. Escudero, M. Tabain, & P. Warren (Eds.), Proceedings of the 19th International Congress of Phonetic Sciences (ICPhS 20195) (pp. 1203-1207). Canberra, Australia: Australasian Speech Science and Technology Association Inc.

    Abstract

    We tested whether statistical averageness (SA) at the level of the individual speaker could predict a speaker’s intelligibility. 28 female and 21 male speakers of Dutch were recorded producing 336 sentences,
    each containing two target nouns. Recordings were compared to those of all other same-sex speakers using dynamic time warping (DTW). For each sentence, the DTW distance constituted a metric
    of phonetic distance from one speaker to all other speakers. SA comprised the average of these distances. Later, the same participants performed a word recognition task on the target nouns in the same sentences, under three degraded listening conditions. In all three conditions, accuracy increased with SA. This held even when participants listened to their own utterances. These findings suggest that listeners process speech with respect to the statistical
    properties of the language spoken in their community, rather than using their own speech as a reference
  • Schuller, B., Steidl, S., Batliner, A., Bergelson, E., Krajewski, J., Janott, C., Amatuni, A., Casillas, M., Seidl, A., Soderstrom, M., Warlaumont, A. S., Hidalgo, G., Schnieder, S., Heiser, C., Hohenhorst, W., Herzog, M., Schmitt, M., Qian, K., Zhang, Y., Trigeorgis, G. and 2 moreSchuller, B., Steidl, S., Batliner, A., Bergelson, E., Krajewski, J., Janott, C., Amatuni, A., Casillas, M., Seidl, A., Soderstrom, M., Warlaumont, A. S., Hidalgo, G., Schnieder, S., Heiser, C., Hohenhorst, W., Herzog, M., Schmitt, M., Qian, K., Zhang, Y., Trigeorgis, G., Tzirakis, P., & Zafeiriou, S. (2017). The INTERSPEECH 2017 computational paralinguistics challenge: Addressee, cold & snoring. In Proceedings of Interspeech 2017 (pp. 3442-3446). doi:10.21437/Interspeech.2017-43.

    Abstract

    The INTERSPEECH 2017 Computational Paralinguistics Challenge addresses three different problems for the first time in research competition under well-defined conditions: In the Addressee sub-challenge, it has to be determined whether speech produced by an adult is directed towards another adult or towards a child; in the Cold sub-challenge, speech under cold has to be told apart from ‘healthy’ speech; and in the Snoring subchallenge, four different types of snoring have to be classified. In this paper, we describe these sub-challenges, their conditions, and the baseline feature extraction and classifiers, which include data-learnt feature representations by end-to-end learning with convolutional and recurrent neural networks, and bag-of-audiowords for the first time in the challenge series

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