Publications

Displaying 101 - 200 of 477
  • Cutler, A. (1998). Prosodic structure and word recognition. In A. D. Friederici (Ed.), Language comprehension: A biological perspective (pp. 41-70). Heidelberg: Springer.
  • Cutler, A. (1996). Prosody and the word boundary problem. In J. L. Morgan, & K. Demuth (Eds.), Signal to syntax: Bootstrapping from speech to grammar in early acquisition (pp. 87-99). Mahwah, NJ: Erlbaum.
  • Cutler, A. (1996). The comparative study of spoken-language processing. In H. T. Bunnell (Ed.), Proceedings of the Fourth International Conference on Spoken Language Processing: Vol. 1 (pp. 1). New York: Institute of Electrical and Electronics Engineers.

    Abstract

    Psycholinguists are saddled with a paradox. Their aim is to construct a model of human language processing, which will hold equally well for the processing of any language, but this aim cannot be achieved just by doing experiments in any language. They have to compare processing of many languages, and actively search for effects which are specific to a single language, even though a model which is itself specific to a single language is really the last thing they want.
  • Cutler, A., & Otake, T. (1996). The processing of word prosody in Japanese. In P. McCormack, & A. Russell (Eds.), Proceedings of the 6th Australian International Conference on Speech Science and Technology (pp. 599-604). Canberra: Australian Speech Science and Technology Association.
  • Cutler, A. (1998). The recognition of spoken words with variable representations. In D. Duez (Ed.), Proceedings of the ESCA Workshop on Sound Patterns of Spontaneous Speech (pp. 83-92). Aix-en-Provence: Université de Aix-en-Provence.
  • Cutler, A., & Shanley, J. (2010). Validation of a training method for L2 continuous-speech segmentation. In Proceedings of the 11th Annual Conference of the International Speech Communication Association (Interspeech 2010), Makuhari, Japan (pp. 1844-1847).

    Abstract

    Recognising continuous speech in a second language is often unexpectedly difficult, as the operation of segmenting speech is so attuned to native-language structure. We report the initial steps in development of a novel training method for second-language listening, focusing on speech segmentation and employing a task designed for studying this: word-spotting. Listeners detect real words in sequences consisting of a word plus a minimal context. The present validation study shows that learners from varying non-English backgrounds successfully perform a version of this task in English, and display appropriate sensitivity to structural factors that also affect segmentation by native English listeners.
  • Dediu, D., & Graham, S. A. (2014). Genetics and Language. In M. Aronoff (Ed.), Oxford Bibliographies in Linguistics. New York: Oxford University Press. Retrieved from http://www.oxfordbibliographies.com/view/document/obo-9780199772810/obo-9780199772810-0184.xml.

    Abstract

    This article surveys what is currently known about the complex interplay between genetics and the language sciences. It focuses not only on the genetic architecture of language and speech, but also on their interactions on the cultural and evolutionary timescales. Given the complexity of these issues and their current state of flux and high dynamism, this article surveys the main findings and topics of interest while also briefly introducing the main relevant methods, thus allowing the interested reader to fully appreciate and understand them in their proper context. Of course, not all the relevant publications and resources are mentioned, but this article aims to select the most relevant, promising, or accessible for nonspecialists.

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  • Dediu, D. (2014). Language and biology: The multiple interactions between genetics and language. In N. J. Enfield, P. Kockelman, & J. Sidnell (Eds.), The Cambridge handbook of linguistic anthropology (pp. 686-707). Cambridge: Cambridge University Press.
  • Dediu, D., & Levinson, S. C. (2014). Language and speech are old: A review of the evidence and consequences for modern linguistic diversity. In E. A. Cartmill, S. G. Roberts, H. Lyn, & H. Cornish (Eds.), The Evolution of Language: Proceedings of the 10th International Conference (pp. 421-422). Singapore: World Scientific.
  • Dediu, D. (2010). Linguistic and genetic diversity - how and why are they related? In M. Brüne, F. Salter, & W. McGrew (Eds.), Building bridges between anthropology, medicine and human ethology: Tributes to Wulf Schiefenhövel (pp. 169-178). Bochum: Europäischer Universitätsverlag.

    Abstract

    There are some 6000 languages spoken today, classfied in approximately 90 linguistic families and many isolates, and also differing across structural, typological, dimensions. Genetically, the human species is remarkably homogeneous, with the existant genetic diversity mostly explain by intra-population differences between individuals, but the remaining inter-population differences have a non-trivial structure. Populations splits and contacts influence both languages and genes, in principle allowing them to evolve in parallel ways. The farming/language co-dispersal hypothesis is a well-known such theory, whereby farmers spreading agriculture from its places of origin also spread their genes and languages. A different type of relationship was recently proposed, involving a genetic bias which influences the structural properties of language as it is transmitted across generations. Such a bias was proposed to explain the correlations between the distribution of tone languages and two brain development-related human genes and, if confirmed by experimental studies, it could represent a new factor explaining the distrbution of diversity. The present chapter overviews these related topics in the hope that a truly interdisciplinary approach could allow a better understanding of our complex (recent as well as evolutionary) history.
  • Dediu, D., & Levinson, S. C. (2014). The time frame of the emergence of modern language and its implications. In D. Dor, C. Knight, & J. Lewis (Eds.), The social origins of language (pp. 184-195). Oxford: Oxford University Press.
  • Dimroth, C. (2010). The acquisition of negation. In L. R. Horn (Ed.), The expression of negation (pp. 39-73). Berlin/New York: Mouton de Gruyter.
  • Dingemanse, M., & Floyd, S. (2014). Conversation across cultures. In N. J. Enfield, P. Kockelman, & J. Sidnell (Eds.), The Cambridge handbook of linguistic anthropology (pp. 447-480). Cambridge: Cambridge University Press.
  • Dingemanse, M., Torreira, F., & Enfield, N. J. (2014). Conversational infrastructure and the convergent evolution of linguistic items. In E. A. Cartmill, S. G. Roberts, H. Lyn, & H. Cornish (Eds.), The Evolution of Language: Proceedings of the 10th International Conference (pp. 425-426). Singapore: World Scientific.
  • Dingemanse, M. (2010). Folk definitions of ideophones. In E. Norcliffe, & N. J. Enfield (Eds.), Field manual volume 13 (pp. 24-29). Nijmegen: Max Planck Institute for Psycholinguistics. doi:10.17617/2.529151.

    Abstract

    Ideophones are marked words that depict sensory events, for example English hippety-hoppety ‘in a limping and hobbling manner’ or Siwu mukumuku ‘mouth movements of a toothless person eating’. They typically have special sound patterns and distinct grammatical properties. Ideophones are found in many languages of the world, suggesting a common fascination with detailed sensory depiction, but reliable data on their meaning and use is still very scarce. This task involves video-recording spontaneous, informal explanations (“folk definitions”) of individual ideophones by native speakers, in their own language. The approach facilitates collection of rich primary data in a planned context while ensuring a large amount of spontaneity and freedom.
  • Dingemanse, M., Verhoef, T., & Roberts, S. G. (2014). The role of iconicity in the cultural evolution of communicative signals. In B. De Boer, & T. Verhoef (Eds.), Proceedings of Evolang X, Workshop on Signals, Speech, and Signs (pp. 11-15).
  • Dolscheid, S., Shayan, S., Ozturk, O., Majid, A., & Casasanto, D. (2010). Language shapes mental representations of musical pitch: Implications for metaphorical language processing [Abstract]. In Proceedings of the 16th Annual Conference on Architectures and Mechanisms for Language Processing [AMLaP 2010] (pp. 137). York: University of York.

    Abstract

    Speakers often use spatial metaphors to talk about musical pitch (e.g., a low note, a high soprano). Previous experiments suggest that English speakers also think about pitches as high or low in space, even when theyʼre not using language or musical notation (Casasanto, 2010). Do metaphors in language merely reflect pre-existing associations between space and pitch, or might language also shape these non-linguistic metaphorical mappings? To investigate the role of language in pitch tepresentation, we conducted a pair of non-linguistic spacepitch interference experiments in speakers of two languages that use different spatial metaphors. Dutch speakers usually describe pitches as ʻhighʼ (hoog) and ʻlowʼ (laag). Farsi speakers, however, often describe high-frequency pitches as ʻthinʼ (naazok) and low-frequency pitches as ʻthickʼ (koloft). Do Dutch and Farsi speakers mentally represent pitch differently? To find out, we asked participants to reproduce musical pitches that they heard in the presence of irrelevant spatial information (i.e., lines that varied either in height or in thickness). For the Height Interference experiment, horizontal lines bisected a vertical reference line at one of nine different locations. For the Thickness Interference experiment, a vertical line appeared in the middle of the screen in one of nine thicknesses. In each experiment, the nine different lines were crossed with nine different pitches ranging from C4 to G#4 in semitone increments, to produce 81 distinct trials. If Dutch and Farsi speakers mentally represent pitch the way they talk about it, using different kinds of spatial representations, they should show contrasting patterns of cross-dimensional interference: Dutch speakersʼ pitch estimates should be more strongly affected by irrelevant height information, and Farsi speakersʼ by irrelevant thickness information. As predicted, Dutch speakersʼ pitch estimates were significantly modulated by spatial height but not by thickness. Conversely, Farsi speakersʼ pitch estimates were modulated by spatial thickness but not by height (2x2 ANOVA on normalized slopes of the effect of space on pitch: F(1,71)=17,15 p<.001). To determine whether language plays a causal role in shaping pitch representations, we conducted a training experiment. Native Dutch speakers learned to use Farsi-like metaphors, describing pitch relationships in terms of thickness (e.g., a cello sounds ʻthickerʼ than a flute). After training, Dutch speakers showed a significant effect of Thickness interference in the non-linguistic pitch reproduction task, similar to native Farsi speakers: on average, pitches accompanied by thicker lines were reproduced as lower in pitch (effect of thickness on pitch: r=-.22, p=.002). By conducting psychophysical tasks, we tested the ʻWhorfianʼ question without using words. Yet, results also inform theories of metaphorical language processing. According to psycholinguistic theories (e.g., Bowdle & Gentner, 2005), highly conventional metaphors are processed without any active mapping from the source to the target domain (e.g., from space to pitch). Our data, however, suggest that when people use verbal metaphors they activate a corresponding non-linguistic mapping from either height or thickness to pitch, strengthening this association at the expense of competing associations. As a result, people who use different metaphors in their native languages form correspondingly different representations of musical pitch. Casasanto, D. (2010). Space for Thinking. In Language, Cognition and Space: State of the art and new directions. V. Evans & P. Chilton (Eds.), 453-478, London: Equinox Publishing. Bowdle, B. & Gentner, D. (2005). The career of metaphor. Psychological Review, 112, 193-216.
  • Dolscheid, S., Willems, R. M., Hagoort, P., & Casasanto, D. (2014). The relation of space and musical pitch in the brain. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Meeting of the Cognitive Science Society (CogSci 2014) (pp. 421-426). Austin, Tx: Cognitive Science Society.

    Abstract

    Numerous experiments show that space and musical pitch are
    closely linked in people's minds. However, the exact nature of
    space-pitch associations and their neuronal underpinnings are
    not well understood. In an fMRI experiment we investigated
    different types of spatial representations that may underlie
    musical pitch. Participants judged stimuli that varied in
    spatial height in both the visual and tactile modalities, as well
    as auditory stimuli that varied in pitch height. In order to
    distinguish between unimodal and multimodal spatial bases of
    musical pitch, we examined whether pitch activations were
    present in modality-specific (visual or tactile) versus
    multimodal (visual and tactile) regions active during spatial
    height processing. Judgments of musical pitch were found to
    activate unimodal visual areas, suggesting that space-pitch
    associations may involve modality-specific spatial
    representations, supporting a key assumption of embodied
    theories of metaphorical mental representation.
  • Drexler, H., Verbunt, A., & Wittenburg, P. (1996). Max Planck Electronic Information Desk. In B. den Brinker, J. Beek, A. Hollander, & R. Nieuwboer (Eds.), Zesde workshop computers in de psychologie: Programma en uitgebreide samenvattingen (pp. 64-66). Amsterdam: Vrije Universiteit Amsterdam, IFKB.
  • Drozd, K. F. (1998). No as a determiner in child English: A summary of categorical evidence. In A. Sorace, C. Heycock, & R. Shillcock (Eds.), Proceedings of the Gala '97 Conference on Language Acquisition (pp. 34-39). Edinburgh, UK: Edinburgh University Press,.

    Abstract

    This paper summarizes the results of a descriptive syntactic category analysis of child English no which reveals that young children use and represent no as a determiner and negatives like no pen as NPs, contra standard analyses.
  • Drozdova, P., Van Hout, R., & Scharenborg, O. (2014). Phoneme category retuning in a non-native language. In Proceedings of Interspeech 2014: 15th Annual Conference of the International Speech Communication Association (pp. 553-557).

    Abstract

    Previous studies have demonstrated that native listeners
    modify their interpretation of a speech sound when a talker
    produces an ambiguous sound in order to quickly tune into a
    speaker, but there is hardly any evidence that non-native
    listeners employ a similar mechanism when encountering
    ambiguous pronunciations. So far, one study demonstrated
    this lexically-guided perceptual learning effect for nonnatives,
    using phoneme categories similar in the native
    language of the listeners and the non-native language of the
    stimulus materials. The present study investigates the question
    whether phoneme category retuning is possible in a nonnative
    language for a contrast, /l/-/r/, which is phonetically
    differently embedded in the native (Dutch) and nonnative
    (English) languages involved. Listening experiments indeed
    showed a lexically-guided perceptual learning effect.
    Assuming that Dutch listeners have different phoneme
    categories for the native Dutch and non-native English /r/, as
    marked differences between the languages exist for /r/, these
    results, for the first time, seem to suggest that listeners are not
    only able to retune their native phoneme categories but also
    their non-native phoneme categories to include ambiguous
    pronunciations.
  • Drude, S., Trilsbeek, P., Sloetjes, H., & Broeder, D. (2014). Best practices in the creation, archiving and dissemination of speech corpora at the Language Archive. In S. Ruhi, M. Haugh, T. Schmidt, & K. Wörner (Eds.), Best Practices for Spoken Corpora in Linguistic Research (pp. 183-207). Newcastle upon Tyne: Cambridge Scholars Publishing.
  • Drude, S. (2002). Fala masculina e feminina em Awetí. In A. D. Rodrigues, & A. S. A. C. Cabral (Eds.), Línguas indígenas Brasileiras: Fonologia, gramática e história. (Atas do I Encontro Internacional do Grupo de Trabalho sobre Línguas Indígenas da ANPOLL). vol. 1 (pp. 177-190). Belém: EDUFPA.
  • Drude, S. (2014). Reduplication as a tool for morphological and phonological analysis in Awetí. In G. G. Gómez, & H. Van der Voort (Eds.), Reduplication in Indigenous languages of South America (pp. 185-216). Leiden: Brill.
  • Dugoujon, J.-M., Larrouy, G., Mazières, S., Brucato, N., Sevin, A., Cassar, O., & Gessain, A. (2010). Histoire et dynamique du peuplement humain en Amazonie: L’exemple de la Guyane. In A. Pavé, & G. Fornet (Eds.), Amazonie: Une aventure scientifique et humaine du CNRS (pp. 128-132). Paris: Galaade Éditions.
  • Dunn, M. (2014). Gender determined dialect variation. In G. G. Corbett (Ed.), The expression of gender (pp. 39-68). Berlin: De Gruyter.
  • Dunn, M. (2014). Language phylogenies. In C. Bowern, & B. Evans (Eds.), The Routledge handbook of historical linguistics (pp. 190-211). London: Routlege.
  • Eibl-Eibesfeldt, I., Senft, B., & Senft, G. (1998). Trobriander (Ost-Neuguinea, Trobriand Inseln, Kaile'una) Fadenspiele 'ninikula'. In Ethnologie - Humanethologische Begleitpublikationen von I. Eibl-Eibesfeldt und Mitarbeitern. Sammelband I, 1985-1987. Göttingen: Institut für den Wissenschaftlichen Film.
  • Eisner, F., Weber, A., & Melinger, A. (2010). Generalization of learning in pre-lexical adjustments to word-final devoicing [Abstract]. Journal of the Acoustical Society of America, 128, 2323.

    Abstract

    Pre-lexical representations of speech sounds have been to shown to change dynamically through a mechanism of lexically driven learning. [Norris et al. (2003).] Here we investigated whether this type of learning occurs in native British English (BE) listeners for a word-final stop contrast which is commonly de-voiced in Dutch-accented English. Specifically, this study asked whether the change in pre-lexical representation also encodes information about the position of the critical sound within a word. After exposure to a native Dutch speaker's productions of de-voiced stops in word-final position (but not in any other positions), BE listeners showed evidence of perceptual learning in a subsequent cross-modal priming task, where auditory primes with voiceless final stops (e.g., [si:t], “seat”) facilitated recognition of visual targets with voiced final stops (e.g., “seed”). This learning generalized to test pairs where the critical contrast was in word-initial position, e.g., auditory primes such as [taun] (“town”), facilitated recognition of visual targets like “down”. Control listeners, who had not heard any stops by the speaker during exposure, showed no learning effects. The results suggest that under these exposure conditions, word position is not encoded in the pre-lexical adjustment to the accented phoneme contras
  • Emmorey, K., & Ozyurek, A. (2014). Language in our hands: Neural underpinnings of sign language and co-speech gesture. In M. S. Gazzaniga, & G. R. Mangun (Eds.), The cognitive neurosciences (5th ed., pp. 657-666). Cambridge, Mass: MIT Press.
  • Enfield, N. J. (2002). Semantics and combinatorics of 'sit', 'stand', and 'lie' in Lao. In J. Newman (Ed.), The linguistics of sitting, standing, and lying (pp. 25-41). Amsterdam: Benjamins.
  • Enfield, N. J. (2002). Parallel innovation and 'coincidence' in linguistic areas: On a bi-clausal extent/result constructions of mainland Southeast Asia. In P. Chew (Ed.), Proceedings of the 28th meeting of the Berkeley Linguistics Society. Special session on Tibeto-Burman and Southeast Asian linguistics (pp. 121-128). Berkeley: Berkeley Linguistics Society.
  • Enfield, N. J. (2002). Body 2002. In S. Kita (Ed.), 2002 Supplement (version 3) for the “Manual” for the field season 2001 (pp. 19-32). Nijmegen: Max Planck Institute for Psycholinguistics.
  • Enfield, N. J., Levinson, S. C., De Ruiter, J. P., & Stivers, T. (2010). Building a corpus of multimodal interaction in your field site. In E. Norcliffe, & N. J. Enfield (Eds.), Field manual volume 13 (pp. 30-33). Nijmegen: Max Planck Institute for Psycholinguistics.
  • Enfield, N. J. (2014). Causal dynamics of language. In N. J. Enfield, P. Kockelman, & J. Sidnell (Eds.), The Cambridge handbook of linguistic anthropology (pp. 325-342). Cambridge: Cambridge University Press.
  • Enfield, N. J. (2002). “Fish trap” task. In S. Kita (Ed.), 2002 Supplement (version 3) for the “Manual” for the field season 2001 (pp. 61). Nijmegen: Max Planck Institute for Psycholinguistics.
  • Enfield, N. J. (2002). Cultural logic and syntactic productivity: Associated posture constructions in Lao. In N. Enfield (Ed.), Ethnosyntax: Explorations in culture and grammar (pp. 231-258). Oxford: Oxford University Press.
  • Enfield, N. J. (2002). Ethnosyntax: Introduction. In N. Enfield (Ed.), Ethnosyntax: Explorations in culture and grammar (pp. 1-30). Oxford: Oxford University Press.
  • Enfield, N. J. (2002). Combinatoric properties of natural semantic metalanguage expressions in Lao. In C. Goddard, & A. Wierzbicka (Eds.), Meaning and universal grammar: Theory and empirical findings (pp. 145-256). Amsterdam: John Benjamins.
  • Enfield, N. J. (2002). Functions of 'give' and 'take' in Lao complex predicates. In R. S. Bauer (Ed.), Collected papers on Southeast Asian and Pacific languages (pp. 13-36). Canberra: Pacific Linguistics.
  • Enfield, N. J. (2014). Human agency and the infrastructure for requests. In P. Drew, & E. Couper-Kuhlen (Eds.), Requesting in social interaction (pp. 35-50). Amsterdam: John Benjamins.

    Abstract

    This chapter discusses some of the elements of human sociality that serve as the social and cognitive infrastructure or preconditions for the use of requests and other kinds of recruitments in interaction. The notion of an agent with goals is a canonical starting point, though importantly agency tends not to be wholly located in individuals, but rather is socially distributed. This is well illustrated in the case of requests, in which the person or group that has a certain goal is not necessarily the one who carries out the behavior towards that goal. The chapter focuses on the role of semiotic (mostly linguistic) resources in negotiating the distribution of agency with request-like actions, with examples from video-recorded interaction in Lao, a language spoken in Laos and nearby countries. The examples illustrate five hallmarks of requesting in human interaction, which show some ways in which our ‘manipulation’ of other people is quite unlike our manipulation of tools: (1) that even though B is being manipulated, B wants to help, (2) that while A is manipulating B now, A may be manipulated in return later; (3) that the goal of the behavior may be shared between A and B, (4) that B may not comply, or may comply differently than requested, due to actual or potential contingencies, and (5) that A and B are accountable to one another; reasons may be asked for, and/or given, for the request. These hallmarks of requesting are grounded in a prosocial framework of human agency.
  • Enfield, N. J., & Levinson, S. C. (2010). Metalanguage for speech acts. In Field manual volume 13 (pp. 34-36). Nijmegen: Max Planck Institute for Psycholinguistics.

    Abstract

    People of all cultures have some degree of concern with categorizing types of communicative social action. All languages have words with meanings like speak, say, talk, complain, curse, promise, accuse, nod, wink, point and chant. But the exact distinctions they make will differ in both quantity and quality. How is communicative social action categorised across languages and cultures? The goal of this task is to establish a basis for cross-linguistic comparison of native metalanguages for social action.
  • Enfield, N. J., & Sidnell, J. (2014). Language presupposes an enchronic infrastructure for social interaction. In D. Dor, C. Knight, & J. Lewis (Eds.), The social origins of language (pp. 92-104). Oxford: Oxford University Press.
  • Enfield, N. J., Kockelman, P., & Sidnell, J. (2014). Interdisciplinary perspectives. In N. J. Enfield, P. Kockelman, & J. Sidnell (Eds.), The Cambridge handbook of linguistic anthropology (pp. 599-602). Cambridge: Cambridge University Press.
  • Enfield, N. J., Kockelman, P., & Sidnell, J. (2014). Introduction: Directions in the anthropology of language. In N. J. Enfield, P. Kockelman, & J. Sidnell (Eds.), The Cambridge handbook of linguistic anthropology (pp. 1-24). Cambridge: Cambridge University Press.
  • Enfield, N. J., Sidnell, J., & Kockelman, P. (2014). System and function. In N. J. Enfield, P. Kockelman, & J. Sidnell (Eds.), The Cambridge handbook of linguistic anthropology (pp. 25-28). Cambridge: Cambridge University Press.
  • Enfield, N. J. (2014). The item/system problem. In N. J. Enfield, P. Kockelman, & J. Sidnell (Eds.), The Cambridge handbook of linguistic anthropology (pp. 48-77). Cambridge: Cambridge University Press.
  • Enfield, N. J. (2014). Transmission biases in the cultural evolution of language: Towards an explanatory framework. In D. Dor, C. Knight, & J. Lewis (Eds.), The social origins of language (pp. 325-335). Oxford: Oxford University Press.
  • Ernestus, M., & Giezenaar, G. (2014). Een goed verstaander heeft maar een half woord nodig. In B. Bossers (Ed.), Vakwerk 9: Achtergronden van de NT2-lespraktijk: Lezingen conferentie Hoeven 2014 (pp. 81-92). Amsterdam: BV NT2.
  • Ernestus, M., Kočková-Amortová, L., & Pollak, P. (2014). The Nijmegen corpus of casual Czech. In N. Calzolari, K. Choukri, T. Declerck, H. Loftsson, B. Maegaard, J. Mariani, A. Moreno, J. Odijk, & S. Piperidis (Eds.), Proceedings of LREC 2014: 9th International Conference on Language Resources and Evaluation (pp. 365-370).

    Abstract

    This article introduces a new speech corpus, the Nijmegen Corpus of Casual Czech (NCCCz), which contains more than 30 hours of high-quality recordings of casual conversations in Common Czech, among ten groups of three male and ten groups of three female friends. All speakers were native speakers of Czech, raised in Prague or in the region of Central Bohemia, and were between 19 and 26 years old. Every group of speakers consisted of one confederate, who was instructed to keep the conversations lively, and two speakers naive to the purposes of the recordings. The naive speakers were engaged in conversations for approximately 90 minutes, while the confederate joined them for approximately the last 72 minutes. The corpus was orthographically annotated by experienced transcribers and this orthographic transcription was aligned with the speech signal. In addition, the conversations were videotaped. This corpus can form the basis for all types of research on casual conversations in Czech, including phonetic research and research on how to improve automatic speech recognition. The corpus will be freely available
  • Faller, M. (2002). Remarks on evidential hierarchies. In D. I. Beaver, L. D. C. Martinez, B. Z. Clark., & S. Kaufmann (Eds.), The construction of meaning (pp. 89-111). Stanford: CSLI Publications.
  • Filippi, P. (2014). Linguistic animals: understanding language through a comparative approach. In E. A. Cartmill, S. Roberts, H. Lyn, & H. Crnish (Eds.), The Evolution of Language: Proceedings of the 10th International Conference (pp. 74-81). doi:10.1142/9789814603638_0082.

    Abstract

    With the aim to clarify the definition of humans as “linguistic animals”, in the present paper I functionally distinguish three types of language competences: i) language as a general biological tool for communication, ii) “perceptual syntax”, iii) propositional language. Following this terminological distinction, I review pivotal findings on animals' communication systems, which constitute useful evidence for the investigation of the nature of three core components of humans' faculty of language: semantics, syntax, and theory of mind. In fact, despite the capacity to process and share utterances with an open-ended structure is uniquely human, some isolated components of our linguistic competence are in common with nonhuman animals. Therefore, as I argue in the present paper, the investigation of animals' communicative competence provide crucial insights into the range of cognitive constraints underlying humans' ability of language, enabling at the same time the analysis of its phylogenetic path as well as of the selective pressures that have led to its emergence.
  • Filippi, P., Gingras, B., & Fitch, W. T. (2014). The effect of pitch enhancement on spoken language acquisition. In E. A. Cartmill, S. Roberts, H. Lyn, & H. Crnish (Eds.), The Evolution of Language: Proceedings of the 10th International Conference (pp. 437-438). doi:10.1142/9789814603638_0082.

    Abstract

    The aim of this study is to investigate the word-learning phenomenon utilizing a new model that integrates three processes: a) extracting a word out of a continuous sounds sequence, b) inducing referential meanings, c) mapping a word onto its intended referent, with the possibility to extend the acquired word over a potentially infinite sets of objects of the same semantic category, and over not-previously-heard utterances. Previous work has examined the role of statistical learning and/or of prosody in each of these processes separately. In order to examine the multilayered word-learning task, we integrate these two strands of investigation into a single approach. We have conducted the study on adults and included six different experimental conditions, each including specific perceptual manipulations of the signal. In condition 1, the only cue to word-meaning mapping was the co-occurrence between words and referents (“statistical cue”). This cue was present in all the conditions. In condition 2, we added infant-directed-speech (IDS) typical pitch enhancement as a marker of the target word and of the statistical cue. In condition 3 we placed IDS typical pitch enhancement on random words of the utterances, i.e. inconsistently matching the statistical cue. In conditions 4, 5 and 6 we manipulated respectively duration, a non-prosodic acoustic cue and a visual cue as markers of the target word and of the statistical cue. Systematic comparisons between learning performance in condition 1 with the other conditions revealed that the word-learning process is facilitated only when pitch prominence consistently marks the target word and the statistical cue…
  • Fisher, S. E. (2002). Isolation of the genetic factors underlying speech and language disorders. In R. Plomin, J. C. DeFries, I. W. Craig, & P. McGuffin (Eds.), Behavioral genetics in the postgenomic era (pp. 205-226). Washington, DC: American Psychological Association.

    Abstract

    This chapter highlights the research in isolating genetic factors underlying specific language impairment (SLI), or developmental dysphasia, which exploits newly developed genotyping technology, novel statistical methodology, and DNA sequence data generated by the Human Genome Project. The author begins with an overview of results from family, twin, and adoption studies supporting genetic involvement and then goes on to outline progress in a number of genetic mapping efforts that have been recently completed or are currently under way. It has been possible for genetic researchers to pinpoint the specific mutation responsible for some speech and language disorders, providing an example of how the availability of human genomic sequence data can greatly accelerate the pace of disease gene discovery. Finally, the author discusses future prospects on how molecular genetics may offer new insight into the etiology underlying speech and language disorders, leading to improvements in diagnosis and treatment.
  • Fitz, H. (2014). Computermodelle für Spracherwerb und Sprachproduktion. Forschungsbericht 2014 - Max-Planck-Institut für Psycholinguistik. In Max-Planck-Gesellschaft Jahrbuch 2014. München: Max Planck Society for the Advancement of Science. Retrieved from http://www.mpg.de/7850678/Psycholinguistik_JB_2014?c=8236817.

    Abstract

    Relative clauses are a syntactic device to create complex sentences and they make language structurally productive. Despite a considerable number of experimental studies, it is still largely unclear how children learn relative clauses and how these are processed in the language system. Researchers at the MPI for Psycholinguistics used a computational learning model to gain novel insights into these issues. The model explains the differential development of relative clauses in English as well as cross-linguistic differences
  • Fitz, H. (2010). Statistical learning of complex questions. In S. Ohlsson, & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 2692-2698). Austin, TX: Cognitive Science Society.

    Abstract

    The problem of auxiliary fronting in complex polar questions occupies a prominent position within the nature versus nurture controversy in language acquisition. We employ a model of statistical learning which uses sequential and semantic information to produce utterances from a bag of words. This linear learner is capable of generating grammatical questions without exposure to these structures in its training environment. We also demonstrate that the model performs superior to n-gram learners on this task. Implications for nativist theories of language acquisition are discussed.
  • Floyd, S. (2014). 'We’ as social categorization in Cha’palaa: A language of Ecuador. In T.-S. Pavlidou (Ed.), Constructing collectivity: 'We' across languages and contexts (pp. 135-158). Amsterdam: Benjamins.

    Abstract

    This chapter connects the grammar of the first person collective pronoun in the Cha’palaa language of Ecuador with its use in interaction for collective reference and social category membership attribution, addressing the problem posed by the fact that non-singular pronouns do not have distributional semantics (“speakers”) but are rather associational (“speaker and relevant associates”). It advocates a cross-disciplinary approach that jointly considers elements of linguistic form, situated usages of those forms in instances of interaction, and the broader ethnographic context of those instances. Focusing on large-scale and relatively stable categories such as racial and ethnic groups, it argues that looking at how speakers categorize themselves and others in the speech situation by using pronouns provides empirical data on the status of macro-social categories for members of a society

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  • Floyd, S. (2014). Four types of reduplication in the Cha'palaa language of Ecuador. In H. van der Voort, & G. Goodwin Gómez (Eds.), Reduplication in Indigenous Languages of South America (pp. 77-114). Leiden: Brill.
  • Folia, V., Uddén, J., De Vries, M., Forkstam, C., & Petersson, K. M. (2010). Artificial language learning in adults and children. In M. Gullberg, & P. Indefrey (Eds.), The earliest stages of language learning (pp. 188-220). Malden, MA: Wiley-Blackwell.
  • Francisco, A. A., Jesse, A., Groen, M. a., & McQueen, J. M. (2014). Audiovisual temporal sensitivity in typical and dyslexic adult readers. In Proceedings of the 15th Annual Conference of the International Speech Communication Association (INTERSPEECH 2014) (pp. 2575-2579).

    Abstract

    Reading is an audiovisual process that requires the learning of systematic links between graphemes and phonemes. It is thus possible that reading impairments reflect an audiovisual processing deficit. In this study, we compared audiovisual processing in adults with developmental dyslexia and adults without reading difficulties. We focused on differences in cross-modal temporal sensitivity both for speech and for non-speech events. When compared to adults without reading difficulties, adults with developmental dyslexia presented a wider temporal window in which unsynchronized speech events were perceived as synchronized. No differences were found between groups for the non-speech events. These results suggests a deficit in dyslexia in the perception of cross-modal temporal synchrony for speech events.
  • Furman, R., Ozyurek, A., & Küntay, A. C. (2010). Early language-specificity in Turkish children's caused motion event expressions in speech and gesture. In K. Franich, K. M. Iserman, & L. L. Keil (Eds.), Proceedings of the 34th Boston University Conference on Language Development. Volume 1 (pp. 126-137). Somerville, MA: Cascadilla Press.
  • Gast, V., & Levshina, N. (2014). Motivating w(h)-Clefts in English and German: A hypothesis-driven parallel corpus study. In A.-M. De Cesare (Ed.), Frequency, Forms and Functions of Cleft Constructions in Romance and Germanic: Contrastive, Corpus-Based Studies (pp. 377-414). Berlin: De Gruyter.
  • Gebre, B. G., Wittenburg, P., Heskes, T., & Drude, S. (2014). Motion history images for online speaker/signer diarization. In Proceedings of the 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (pp. 1537-1541). Piscataway, NJ: IEEE.

    Abstract

    We present a solution to the problem of online speaker/signer diarization - the task of determining "who spoke/signed when?". Our solution is based on the idea that gestural activity (hands and body movement) is highly correlated with uttering activity. This correlation is necessarily true for sign languages and mostly true for spoken languages. The novel part of our solution is the use of motion history images (MHI) as a likelihood measure for probabilistically detecting uttering activities. MHI is an efficient representation of where and how motion occurred for a fixed period of time. We conducted experiments on 4.9 hours of a publicly available dataset (the AMI meeting data) and 1.4 hours of sign language dataset (Kata Kolok data). The best performance obtained is 15.70% for sign language and 31.90% for spoken language (measurements are in DER). These results show that our solution is applicable in real-world applications like video conferences.

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  • Gebre, B. G., Wittenburg, P., Drude, S., Huijbregts, M., & Heskes, T. (2014). Speaker diarization using gesture and speech. In H. Li, & P. Ching (Eds.), Proceedings of Interspeech 2014: 15th Annual Conference of the International Speech Communication Association (pp. 582-586).

    Abstract

    We demonstrate how the problem of speaker diarization can be solved using both gesture and speaker parametric models. The novelty of our solution is that we approach the speaker diarization problem as a speaker recognition problem after learning speaker models from speech samples corresponding to gestures (the occurrence of gestures indicates the presence of speech and the location of gestures indicates the identity of the speaker). This new approach offers many advantages: comparable state-of-the-art performance, faster computation and more adaptability. In our implementation, parametric models are used to model speakers' voice and their gestures: more specifically, Gaussian mixture models are used to model the voice characteristics of each person and all persons, and gamma distributions are used to model gestural activity based on features extracted from Motion History Images. Tests on 4.24 hours of the AMI meeting data show that our solution makes DER score improvements of 19% on speech-only segments and 4% on all segments including silence (the comparison is with the AMI system).
  • Gebre, B. G., Crasborn, O., Wittenburg, P., Drude, S., & Heskes, T. (2014). Unsupervised feature learning for visual sign language identification. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: Vol 2 (pp. 370-376). Redhook, NY: Curran Proceedings.

    Abstract

    Prior research on language identification focused primarily on text and speech. In this paper, we focus on the visual modality and present a method for identifying sign languages solely from short video samples. The method is trained on unlabelled video data (unsupervised feature learning) and using these features, it is trained to discriminate between six sign languages (supervised learning). We ran experiments on video samples involving 30 signers (running for a total of 6 hours). Using leave-one-signer-out cross-validation, our evaluation on short video samples shows an average best accuracy of 84%. Given that sign languages are under-resourced, unsupervised feature learning techniques are the right tools and our results indicate that this is realistic for sign language identification.
  • Gentzsch, W., Lecarpentier, D., & Wittenburg, P. (2014). Big data in science and the EUDAT project. In Proceeding of the 2014 Annual SRII Global Conference.
  • Goudbeek, M., & Broersma, M. (2010). The Demo/Kemo corpus: A principled approach to the study of cross-cultural differences in the vocal expression and perception of emotion. In Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC 2010) (pp. 2211-2215). Paris: ELRA.

    Abstract

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

    Abstract

    Researchers in human language processing and acquisition are making an increasing use of computational models. Computer simulations provide a valuable platform to reproduce hypothesised learning mechanisms that are otherwise very difficult, if not impossible, to verify on human subjects. However, computational models come with problems and risks. It is difficult to (automatically) extract essential information about the developing internal representations from a set of simulation runs, and often researchers limit themselves to analysing learning curves based on empirical recognition accuracy through time. The associated risk is to erroneously deem a specific learning behaviour as generalisable to human learners, while it could also be a mere consequence (artifact) of the implementation of the artificial learner or of the input coding scheme. In this paper a set of simulation runs taken from the ACORNS project is investigated. First a look `inside the box' of the learner is provided by employing novel quantitative methods for analysing changing structures in large data sets. Then, the obtained findings are discussed in the perspective of their ecological validity in the field of child language acquisition.
  • Guerra, E., Huettig, F., & Knoeferle, P. (2014). Assessing the time course of the influence of featural, distributional and spatial representations during reading. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Meeting of the Cognitive Science Society (CogSci 2014) (pp. 2309-2314). Austin, TX: Cognitive Science Society. Retrieved from https://mindmodeling.org/cogsci2014/papers/402/.

    Abstract

    What does semantic similarity between two concepts mean? How could we measure it? The way in which semantic similarity is calculated might differ depending on the theoretical notion of semantic representation. In an eye-tracking reading experiment, we investigated whether two widely used semantic similarity measures (based on featural or distributional representations) have distinctive effects on sentence reading times. In other words, we explored whether these measures of semantic similarity differ qualitatively. In addition, we examined whether visually perceived spatial distance interacts with either or both of these measures. Our results showed that the effect of featural and distributional representations on reading times can differ both in direction and in its time course. Moreover, both featural and distributional information interacted with spatial distance, yet in different sentence regions and reading measures. We conclude that featural and distributional representations are distinct components of semantic representation.
  • Guerra, E., & Knoeferle, P. (2014). Spatial distance modulates reading times for sentences about social relations: evidence from eye tracking. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Meeting of the Cognitive Science Society (CogSci 2014) (pp. 2315-2320). Austin, TX: Cognitive Science Society. Retrieved from https://mindmodeling.org/cogsci2014/papers/403/.

    Abstract

    Recent evidence from eye tracking during reading showed that non-referential spatial distance presented in a visual context can modulate semantic interpretation of similarity relations rapidly and incrementally. In two eye-tracking reading experiments we extended these findings in two important ways; first, we examined whether other semantic domains (social relations) could also be rapidly influenced by spatial distance during sentence comprehension. Second, we aimed to further specify how abstract language is co-indexed with spatial information by varying the syntactic structure of sentences between experiments. Spatial distance rapidly modulated reading times as a function of the social relation expressed by a sentence. Moreover, our findings suggest that abstract language can be co-indexed as soon as critical information becomes available for the reader.
  • Guirardello-Damian, R., & Skiba, R. (2002). Trumai Corpus: An example of presenting multi-media data in the IMDI-browser. In P. Austin, H. Dry, & P. Wittenburg (Eds.), Proceedings of the international LREC workshop on resources and tools in field linguistics (pp. 16-1-16-8). Paris: European Language Resources Association.

    Abstract

    Trumai, a genetically isolated language spoken in Brazil (Xingu reserve), is an example of an endangered language. Although the Trumai population consists of more than 100 individuals, only 51 people speak the language. The oral traditions are progressively dying. Given the current scenario, the documentation of this language and its cultural aspects is of great importance. In the framework of the DoBeS program (Documentation of Endangered Languages), the project "Documentation of Trumai" has selected and organized a collection of Trumai texts, with a multi-media representation of the corpus. Several kinds of information and data types are being included in the archive of the language: texts with audio and video recordings; written texts from educational materials; drawings; photos; songs; annotations in different formats; lexicon; field notes; results from scientific studies of the language (sound system, sketch grammar, comparative studies with other Xinguan languages), etc. All materials are integrated into the IMDI-Browser, a specialized tool for presenting and searching for linguistic data. This paper explores the processing phases and the results of the Trumai project taking into consideration the issue of how to combine the needs and wishes of field linguistics (content and research aspects) and the needs of archiving (structure and workflow aspects) in a well-organized corpus.
  • Gullberg, M., & Holmqvist, K. (2002). Visual attention towards gestures in face-to-face interaction vs. on screen. In I. Wachsmuth, & T. Sowa (Eds.), Gesture and sign languages in human-computer interaction (pp. 206-214). Berlin: Springer.
  • Gullberg, M., Roberts, L., Dimroth, C., Veroude, K., & Indefrey, P. (2010). Adult language learning after minimal exposure to an unknown natural language. In M. Gullberg, & P. Indefrey (Eds.), The earliest stages of language learning (pp. 5-24). Malden, MA: Wiley-Blackwell.
  • Gullberg, M. (2002). Gestures, languages, and language acquisition. In S. Strömqvist (Ed.), The diversity of languages and language learning (pp. 45-56). Lund: Lund University.
  • Gullberg, M., De Bot, K., & Volterra, V. (2010). Gestures and some key issues in the study of language development. In M. Gullberg, & K. De Bot (Eds.), Gestures in language development (pp. 3-33). Amsterdam: Benjamins.
  • Gulrajani, G., & Harrison, D. (2002). SHAWEL: Sharable and interactive web-lexicons. In P. Austin, H. Dry, & P. Wittenburg (Eds.), Proceedings of the international LREC workshop on resources and tools in field linguistics (pp. 9-1-9-4). Paris: European Language Resources Association.

    Abstract

    A prototypical lexicon tool was implemented which was intended to allow researchers to collaboratively create lexicons of endangered languages. Increasingly often researchers documenting or analyzing a language work at different locations. Lexicons that evolve through continuous interaction between the collaborators can only be efficiently produced when it can be accessed and manipulated via the Internet. The SHAWEL tool was developed to address these needs; it makes use of a thin Java client and a central database solution.
  • Gumperz, J. J., & Levinson, S. C. (1996). Introduction to part I. In J. J. Gumperz, & S. C. Levinson (Eds.), Rethinking linguistic relativity (pp. 21-36). Cambridge: Cambridge University Press.
  • Gumperz, J. J., & Levinson, S. C. (1996). Introduction to part III. In J. J. Gumperz, & S. C. Levinson (Eds.), Rethinking linguistic relativity (pp. 225-231). Cambridge: Cambridge University Press.
  • Gumperz, J. J., & Levinson, S. C. (1996). Introduction: Linguistic relativity re-examined. In J. J. Gumperz, & S. C. Levinson (Eds.), Rethinking linguistic relativity (pp. 1-20). Cambridge: Cambridge University Press.
  • Hagoort, P. (2002). Het unieke menselijke taalvermogen: Van PAUS naar [paus] in een halve seconde. In J. G. van Hell, A. de Klerk, D. E. Strauss, & T. Torremans (Eds.), Taalontwikkeling en taalstoornissen: Theorie, diagnostiek en behandeling (pp. 51-67). Leuven/Apeldoorn: Garant.
  • Hagoort, P. (2014). Introduction to section on language and abstract thought. In M. S. Gazzaniga, & G. R. Mangun (Eds.), The cognitive neurosciences (5th ed., pp. 615-618). Cambridge, Mass: MIT Press.
  • Hagoort, P., & Levinson, S. C. (2014). Neuropragmatics. In M. S. Gazzaniga, & G. R. Mangun (Eds.), The cognitive neurosciences (5th ed., pp. 667-674). Cambridge, Mass: MIT Press.
  • Hagoort, P. (1998). The shadows of lexical meaning in patients with semantic impairments. In B. Stemmer, & H. Whitaker (Eds.), Handbook of neurolinguistics (pp. 235-248). New York: Academic Press.
  • Hamans, C., & Seuren, P. A. M. (2010). Chomsky in search of a pedigree. In D. A. Kibbee (Ed.), Chomskyan (R)evolutions (pp. 377-394). Amsterdam/Philadelphia: Benjamins.

    Abstract

    This paper follows the changing fortunes of Chomsky’s search for a pedigree in the history of Western thought during the late 1960s. Having achieved a unique position of supremacy in the theory of syntax and having exploited that position far beyond the narrow circles of professional syntacticians, he felt the need to shore up his theory with the authority of history. It is shown that this attempt, resulting mainly in his Cartesian Linguistics of 1966, was widely, and rightly, judged to be a radical failure, even though it led to a sudden revival of interest in the history of linguistics. Ironically, the very upswing in historical studies caused by Cartesian Linguistics ended up showing that the real pedigree belongs to Generative Semantics, developed by the same ‘angry young men’ Chomsky was so bent on destroying.
  • Hammarström, H. (2014). Basic vocabulary comparison in South American languages. In P. Muysken, & L. O'Connor (Eds.), Language contact in South America (pp. 56-72). Cambridge: Cambridge University Press.
  • Hammarström, H. (2014). Papuan languages. In M. Aronoff (Ed.), Oxford bibliographies in linguistics. New York: Oxford University Press. doi:10.1093/OBO/9780199772810-0165.
  • Hammarström, H. (2010). Rarities in numeral systems. In J. Wohlgemuth, & M. Cysouw (Eds.), Rethinking universals. How rarities affect linguistic theory (pp. 11-60). Berlin: De Gruyter.
  • Hammond, J. (2014). Switch-reference antecedence and subordination in Whitesands (Oceanic). In R. van Gijn, J. Hammond, D. Matić, S. van Putten, & A. V. Galucio (Eds.), Information structure and reference tracking in complex sentences. (pp. 263-290). Amsterdam: Benjamins.

    Abstract

    Whitesands is an Oceanic language of the southern Vanuatu subgroup. Like the related languages of southern Vanuatu, Whitesands has developed a clause-linkage system which monitors referent continuity on new clauses – typically contrasting with the previous clause. In this chapter I address how the construction interacts with topic continuity in discourse. I outline the morphosyntactic form of this anaphoric co-reference device. From a functionalist perspective, I show how the system is used in natural discourse and discuss its restrictions with respect to relative and complement clauses. I conclude with a discussion on its interactions with theoretical notions of information structure – in particular the nature of presupposed versus asserted clauses, information back- and foregrounding and how these affect the use of the switch-reference system
  • Hanique, I., Schuppler, B., & Ernestus, M. (2010). Morphological and predictability effects on schwa reduction: The case of Dutch word-initial syllables. In Proceedings of the 11th Annual Conference of the International Speech Communication Association (Interspeech 2010), Makuhari, Japan (pp. 933-936).

    Abstract

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

    Abstract

    Non-native (L2) speakers of English often experience difficulties in producing English interdental fricatives (e.g. the voiceless [θ]), and this leads to frequent substitutions of these fricatives (e.g. with [t], [s], and [f]). Differences in the choice of [θ]-substitutions across L2 speakers with different native (L1) language backgrounds have been extensively explored. However, even within one foreign accent, more than one substitution choice occurs, but this has been less systematically studied. Furthermore, little is known about whether the substitutions of voiceless [θ] are phonetically clear instances of [t], [s], and [f], as they are often labelled. In this study, we attempted a phonetic approach to examine language-specific preferences for [θ]-substitutions by carrying out acoustic measurements of L1 and L2 realizations of these sounds. To this end, we collected a corpus of spoken English with L1 speakers (UK-English), and Dutch and German L2 speakers. We show a) that the distribution of differential substitutions using identical materials differs between Dutch and German L2 speakers, b) that [t,s,f]-substitutes differ acoustically from intended [t,s,f], and c) that L2 productions of [θ] are acoustically comparable to L1 productions.
  • Harbusch, K., & Kempen, G. (2002). A quantitative model of word order and movement in English, Dutch and German complement constructions. In Proceedings of the 19th international conference on Computational linguistics. San Francisco: Morgan Kaufmann.

    Abstract

    We present a quantitative model of word order and movement constraints that enables a simple and uniform treatment of a seemingly heterogeneous collection of linear order phenomena in English, Dutch and German complement constructions (Wh-extraction, clause union, extraposition, verb clustering, particle movement, etc.). Underlying the scheme are central assumptions of the psycholinguistically motivated Performance Grammar (PG). Here we describe this formalism in declarative terms based on typed feature unification. PG allows a homogenous treatment of both the within- and between-language variations of the ordering phenomena under discussion, which reduce to different settings of a small number of quantitative parameters.
  • Heyselaar, E., Hagoort, P., & Segaert, K. (2014). In dialogue with an avatar, syntax production is identical compared to dialogue with a human partner. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Meeting of the Cognitive Science Society (CogSci 2014) (pp. 2351-2356). Austin, Tx: Cognitive Science Society.

    Abstract

    The use of virtual reality (VR) as a methodological tool is
    becoming increasingly popular in behavioural research due
    to its seemingly limitless possibilities. This new method has
    not been used frequently in the field of psycholinguistics,
    however, possibly due to the assumption that humancomputer
    interaction does not accurately reflect human-human
    interaction. In the current study we compare participants’
    language behaviour in a syntactic priming task with human
    versus avatar partners. Our study shows comparable priming
    effects between human and avatar partners (Human: 12.3%;
    Avatar: 12.6% for passive sentences) suggesting that VR is a
    valid platform for conducting language research and studying
    dialogue interactions.
  • Hill, C. (2010). Emergency language documentation teams: The Cape York Peninsula experience. In J. Hobson, K. Lowe, S. Poetsch, & M. Walsh (Eds.), Re-awakening languages: Theory and practice in the revitalisation of Australia’s Indigenous languages (pp. 418-432). Sydney: Sydney University Press.
  • Hoffmann, C. W. G., Sadakata, M., Chen, A., Desain, P., & McQueen, J. M. (2014). Within-category variance and lexical tone discrimination in native and non-native speakers. In C. Gussenhoven, Y. Chen, & D. Dediu (Eds.), Proceedings of the 4th International Symposium on Tonal Aspects of Language (pp. 45-49). Nijmegen: Radboud University Nijmegen.

    Abstract

    In this paper, we show how acoustic variance within lexical tones in disyllabic Mandarin Chinese pseudowords affects discrimination abilities in both native and non-native speakers of Mandarin Chinese. Within-category acoustic variance did not hinder native speakers in discriminating between lexical tones, whereas it precludes Dutch native speakers from reaching native level performance. Furthermore, the influence of acoustic variance was not uniform but asymmetric, dependent on the presentation order of the lexical tones to be discriminated. An exploratory analysis using an active adaptive oddball paradigm was used to quantify the extent of the perceptual asymmetry. We discuss two possible mechanisms underlying this asymmetry and propose possible paradigms to investigate these mechanisms
  • Hoiting, N., & Slobin, D. I. (2002). Transcription as a tool for understanding: The Berkeley Transcription System for sign language research (BTS). In G. Morgan, & B. Woll (Eds.), Directions in sign language acquisition (pp. 55-75). Amsterdam: John Benjamins.
  • Hoiting, N., & Slobin, D. I. (2002). What a deaf child needs to see: Advantages of a natural sign language over a sign system. In R. Schulmeister, & H. Reinitzer (Eds.), Progress in sign language research. In honor of Siegmund Prillwitz / Fortschritte in der Gebärdensprach-forschung. Festschrift für Siegmund Prillwitz (pp. 267-277). Hamburg: Signum.
  • Holler, J. (2014). Experimental methods in co-speech gesture research. In C. Mueller, A. Cienki, D. McNeill, & E. Fricke (Eds.), Body -language – communication: An international handbook on multimodality in human interaction. Volume 1 (pp. 837-856). Berlin: De Gruyter.
  • Holler, J. (2010). Speakers’ use of interactive gestures to mark common ground. In S. Kopp, & I. Wachsmuth (Eds.), Gesture in embodied communication and human-computer interaction. 8th International Gesture Workshop, Bielefeld, Germany, 2009; Selected Revised Papers (pp. 11-22). Heidelberg: Springer Verlag.
  • Huettig, F. (2014). Role of prediction in language learning. In P. J. Brooks, & V. Kempe (Eds.), Encyclopedia of language development (pp. 479-481). London: Sage Publications.
  • Hulten, A. (2010). Sanan tuottaminen [Word production]. In Kieli ja aivot [Language and the Brain - Textbook series] (pp. 106-116).

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