Publications

Displaying 1 - 100 of 257
  • Allen, S. E. M. (1998). A discourse-pragmatic explanation for the subject-object asymmetry in early null arguments. In A. Sorace, C. Heycock, & R. Shillcock (Eds.), Proceedings of the GALA '97 Conference on Language Acquisition (pp. 10-15). Edinburgh, UK: Edinburgh University Press.

    Abstract

    The present paper assesses discourse-pragmatic factors as a potential explanation for the subject-object assymetry in early child language. It identifies a set of factors which characterize typical situations of informativeness (Greenfield & Smith, 1976), and uses these factors to identify informative arguments in data from four children aged 2;0 through 3;6 learning Inuktitut as a first language. In addition, it assesses the extent of the links between features of informativeness on one hand and lexical vs. null and subject vs. object arguments on the other. Results suggest that a pragmatics account of the subject-object asymmetry can be upheld to a greater extent than previous research indicates, and that several of the factors characterizing informativeness are good indicators of those arguments which tend to be omitted in early child language.
  • Allerhand, M., Butterfield, S., Cutler, A., & Patterson, R. (1992). Assessing syllable strength via an auditory model. In Proceedings of the Institute of Acoustics: Vol. 14 Part 6 (pp. 297-304). St. Albans, Herts: Institute of Acoustics.
  • Anastasopoulos, A., Lekakou, M., Quer, J., Zimianiti, E., DeBenedetto, J., & Chiang, D. (2018). Part-of-speech tagging on an endangered language: a parallel Griko-Italian Resource. In Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018) (pp. 2529-2539).

    Abstract

    Most work on part-of-speech (POS) tagging is focused on high resource languages, or examines low-resource and active learning settings through simulated studies. We evaluate POS tagging techniques on an actual endangered language, Griko. We present a resource that contains 114 narratives in Griko, along with sentence-level translations in Italian, and provides gold annotations for the test set. Based on a previously collected small corpus, we investigate several traditional methods, as well as methods that take advantage of monolingual data or project cross-lingual POS tags. We show that the combination of a semi-supervised method with cross-lingual transfer is more appropriate for this extremely challenging setting, with the best tagger achieving an accuracy of 72.9%. With an applied active learning scheme, which we use to collect sentence-level annotations over the test set, we achieve improvements of more than 21 percentage points
  • Bauer, B. L. M. (2000). From Latin to French: The linear development of word order. In B. Bichakjian, T. Chernigovskaya, A. Kendon, & A. Müller (Eds.), Becoming Loquens: More studies in language origins (pp. 239-257). Frankfurt am Main: Lang.
  • Bauer, B. L. M. (1992). Evolution in language: Evidence from the Romance auxiliary. In B. Chiarelli, J. Wind, A. Nocentini, & B. Bichakjian (Eds.), Language origin: A multidisciplinary approach (pp. 517-528). Dordrecht: Kluwer.
  • Bavin, E. L., & Kidd, E. (2000). Learning new verbs: Beyond the input. In C. Davis, T. J. Van Gelder, & R. Wales (Eds.), Cognitive Science in Australia, 2000: Proceedings of the Fifth Biennial Conference of the Australasian Cognitive Science Society.
  • Bentz, C., Dediu, D., Verkerk, A., & Jäger, G. (2018). Language family trees reflect geography and demography beyond neutral drift. In C. Cuskley, M. Flaherty, H. Little, L. McCrohon, A. Ravignani, & T. Verhoef (Eds.), Proceedings of the 12th International Conference on the Evolution of Language (EVOLANG XII) (pp. 38-40). Toruń, Poland: NCU Press. doi:10.12775/3991-1.006.
  • Blythe, J. (2018). Genesis of the trinity: The convergent evolution of trirelational kinterms. In P. McConvell, & P. Kelly (Eds.), Skin, kin and clan: The dynamics of social categories in Indigenous Australia (pp. 431-471). Canberra: ANU EPress.
  • Bock, K., & Levelt, W. J. M. (1994). Language production: Grammatical encoding. In M. A. Gernsbacher (Ed.), Handbook of Psycholinguistics (pp. 945-984). San Diego,: Academic Press.
  • Bohnemeyer, J. (1998). Temporale Relatoren im Hispano-Yukatekischen Sprachkontakt. In A. Koechert, & T. Stolz (Eds.), Convergencia e Individualidad - Las lenguas Mayas entre hispanización e indigenismo (pp. 195-241). Hannover, Germany: Verlag für Ethnologie.
  • Bohnemeyer, J. (1998). Sententiale Topics im Yukatekischen. In Z. Dietmar (Ed.), Deskriptive Grammatik und allgemeiner Sprachvergleich (pp. 55-85). Tübingen, Germany: Max-Niemeyer-Verlag.
  • Bohnemeyer, J. (2000). Where do pragmatic meanings come from? In W. Spooren, T. Sanders, & C. van Wijk (Eds.), Samenhang in Diversiteit; Opstellen voor Leo Noorman, aangeboden bij gelegenheid van zijn zestigste verjaardag (pp. 137-153).
  • Bouman, M. A., & Levelt, W. J. M. (1994). Werner E. Reichardt: Levensbericht. In H. W. Pleket (Ed.), Levensberichten en herdenkingen 1993 (pp. 75-80). Amsterdam: Koninklijke Nederlandse Akademie van Wetenschappen.
  • Bowerman, M., & Pederson, E. (1992). Topological relations picture series. In S. C. Levinson (Ed.), Space stimuli kit 1.2 (pp. 51). Nijmegen: Max Planck Institute for Psycholinguistics. doi:10.17617/2.883589.

    Abstract

    This task is designed to elicit expressions of spatial relations. It was originally designed by Melissa Bowerman for use with young children, but was then developed further by Bowerman in collaboration with Pederson for crosslinguistic comparison. It has been used in fieldsites all over the world and is commonly known as “BowPed” or “TPRS”. Older incarnations did not always come with instructions. This entry includes a one-page instruction sheet and high quality versions of the original pictures.
  • Bowerman, M. (1992). Topological Relations Pictures: Topological Paths. In S. C. Levinson (Ed.), Space stimuli kit 1.2 (pp. 18-24). Nijmegen: Max Planck Institute for Psycholinguistics. doi:10.17617/2.3512508.

    Abstract

    This entry suggests ways to elicit descriptions of caused motion involving topological relations (the domain of English put IN/ON/TOGETHER, take OUT/OFF/APART, etc.). There is a large amount of cross-linguistic variation in this domain. The tasks outlined here address matters such as the division of labor between the various elements of spatial semantics in the sentence. For example, is most of the work of expressing PATH done in a locative marker, or in the verb, or both?
  • Bowerman, M. (1992). Topological Relations Pictures: Static Relations. In S. C. Levinson (Ed.), Space stimuli kit 1.2 (pp. 25-28). Nijmegen: Max Planck Institute for Psycholinguistics. doi:10.17617/2.3512672.

    Abstract

    The precursor to the Bowped stimuli, this entry suggests various spatial configurations to explore using real objects, rather than the line drawings used in Bowped.
  • Bowerman, M. (1994). Learning a semantic system: What role do cognitive predispositions play? [Reprint]. In P. Bloom (Ed.), Language acquisition: Core readings (pp. 329-363). Cambridge, MA: MIT Press.

    Abstract

    Reprint from: Bowerman, M. (1989). Learning a semantic system: What role do cognitive predispositions play? In M.L. Rice & R.L Schiefelbusch (Ed.), The teachability of language (pp. 133-169). Baltimore: Paul H. Brookes.
  • Bowerman, M. (2000). Where do children's word meanings come from? Rethinking the role of cognition in early semantic development. In L. Nucci, G. Saxe, & E. Turiel (Eds.), Culture, thought and development (pp. 199-230). Mahwah, NJ: Lawrence Erlbaum.
  • Brand, J., Monaghan, P., & Walker, P. (2018). Changing Signs: Testing How Sound-Symbolism Supports Early Word Learning. In C. Kalish, M. Rau, J. Zhu, & T. T. Rogers (Eds.), Proceedings of the 40th Annual Conference of the Cognitive Science Society (CogSci 2018) (pp. 1398-1403). Austin, TX: Cognitive Science Society.

    Abstract

    Learning a language involves learning how to map specific forms onto their associated meanings. Such mappings can utilise arbitrariness and non-arbitrariness, yet, our understanding of how these two systems operate at different stages of vocabulary development is still not fully understood. The Sound-Symbolism Bootstrapping Hypothesis (SSBH) proposes that sound-symbolism is essential for word learning to commence, but empirical evidence of exactly how sound-symbolism influences language learning is still sparse. It may be the case that sound-symbolism supports acquisition of categories of meaning, or that it enables acquisition of individualized word meanings. In two Experiments where participants learned form-meaning mappings from either sound-symbolic or arbitrary languages, we demonstrate the changing roles of sound-symbolism and arbitrariness for different vocabulary sizes, showing that sound-symbolism provides an advantage for learning of broad categories, which may then transfer to support learning individual words, whereas an arbitrary language impedes acquisition of categories of sound to meaning.
  • Brehm, L., & Goldrick, M. (2018). Connectionist principles in theories of speech production. In S.-A. Rueschemeyer, & M. G. Gaskell (Eds.), The Oxford Handbook of Psycholinguistics (2nd ed., pp. 372-397). Oxford: Oxford University Press.

    Abstract

    This chapter focuses on connectionist modeling in language production, highlighting how
    core principles of connectionism provide coverage for empirical observations about
    representation and selection at the phonological, lexical, and sentence levels. The first
    section focuses on the connectionist principles of localist representations and spreading
    activation. It discusses how these two principles have motivated classic models of speech
    production and shows how they cover results of the picture-word interference paradigm,
    the mixed error effect, and aphasic naming errors. The second section focuses on how
    newer connectionist models incorporate the principles of learning and distributed
    representations through discussion of syntactic priming, cumulative semantic
    interference, sequencing errors, phonological blends, and code-switching
  • Brown, P. (1998). Early Tzeltal verbs: Argument structure and argument representation. In E. Clark (Ed.), Proceedings of the 29th Annual Stanford Child Language Research Forum (pp. 129-140). Stanford: CSLI Publications.

    Abstract

    The surge of research activity focussing on children's acquisition of verbs (e.g., Tomasello and Merriman 1996) addresses some fundamental questions: Just how variable across languages, and across individual children, is the process of verb learning? How specific are arguments to particular verbs in early child language? How does the grammatical category 'Verb' develop? The position of Universal Grammar, that a verb category is early, contrasts with that of Tomasello (1992), Pine and Lieven and their colleagues (1996, in press), and many others, that children develop a verb category slowly, gradually building up subcategorizations of verbs around pragmatic, syntactic, and semantic properties of the language they are exposed to. On this latter view, one would expect the language which the child is learning, the cultural milieu and the nature of the interactions in which the child is engaged, to influence the process of acquiring verb argument structures. This paper explores these issues by examining the development of argument representation in the Mayan language Tzeltal, in both its lexical and verbal cross-referencing forms, and analyzing the semantic and pragmatic factors influencing the form argument representation takes. Certain facts about Tzeltal (the ergative/ absolutive marking, the semantic specificity of transitive and positional verbs) are proposed to affect the representation of arguments. The first 500 multimorpheme combinations of 3 children (aged between 1;8 and 2;4) are examined. It is argued that there is no evidence of semantically light 'pathbreaking' verbs (Ninio 1996) leading the way into word combinations. There is early productivity of cross-referencing affixes marking A, S, and O arguments (although there are systematic omissions). The paper assesses the respective contributions of three kinds of factors to these results - structural (regular morphology), semantic (verb specificity) and pragmatic (the nature of Tzeltal conversational interaction).
  • Brown, P. (2000). ’He descended legs-upwards‘: Position and motion in Tzeltal frog stories. In E. V. Clark (Ed.), Proceedings of the 30th Stanford Child Language Research Forum (pp. 67-75). Stanford: CSLI.

    Abstract

    How are events framed in narrative? Speakers of English (a 'satellite-framed' language), when 'reading' Mercer Mayer's wordless picture book 'Frog, Where Are You?', find the story self-evident: a boy has a dog and a pet frog; the frog escapes and runs away; the boy and dog look for it across hill and dale, through woods and over a cliff, until they find it and return home with a baby frog child of the original pet frog. In Tzeltal, as spoken in a Mayan community in southern Mexico, the story is somewhat different, because the language structures event descriptions differently. Tzeltal is in part a 'verb-framed' language with a set of Path-encoding motion verbs, so that the bare bones of the Frog story can consist of verbs translating as 'go'/'pass by'/'ascend'/ 'descend'/ 'arrive'/'return'. But Tzeltal also has satellite-framing adverbials, grammaticized from the same set of motion verbs, which encode the direction of motion or the orientation of static arrays. Furthermore, vivid pictorial detail is provided by positional verbs which can describe the position of the Figure as an outcome of a motion event; motion and stasis are thereby combined in a single event description. (For example:  jipot jawal "he has been thrown (by the deer) lying­_face_upwards_spread-eagled". This paper compares the use of these three linguistic resources in Frog Story narratives from  Tzeltal adults and children, looks at their development in the narratives of children, and considers the results in relation to those from Berman and Slobin's (1996) comparative study of adult and child Frog stories.
  • Brown, P., & Levinson, S. C. (2000). Frames of spatial reference and their acquisition in Tenejapan Tzeltal. In L. Nucci, G. Saxe, & E. Turiel (Eds.), Culture, thought, and development (pp. 167-197). Mahwah, NJ: Erlbaum.
  • Brown, P. (1998). How and why are women more polite: Some evidence from a Mayan community. In J. Coates (Ed.), Language and gender (pp. 81-99). Oxford: Blackwell.
  • Brown, C. M., & Hagoort, P. (2000). On the electrophysiology of language comprehension: Implications for the human language system. In M. W. Crocker, M. Pickering, & C. Clifton jr. (Eds.), Architectures and mechanisms for language processing (pp. 213-237). Cambridge University Press.
  • Brown, P., & Levinson, S. C. (1998). Politeness, introduction to the reissue: A review of recent work. In A. Kasher (Ed.), Pragmatics: Vol. 6 Grammar, psychology and sociology (pp. 488-554). London: Routledge.

    Abstract

    This article is a reprint of chapter 1, the introduction to Brown and Levinson, 1987, Politeness: Some universals in language usage (Cambridge University Press).
  • Brown, C. M., Hagoort, P., & Kutas, M. (2000). Postlexical integration processes during language comprehension: Evidence from brain-imaging research. In M. S. Gazzaniga (Ed.), The new cognitive neurosciences (2nd., pp. 881-895). Cambridge, MA: MIT Press.
  • Brown, P., & Levinson, S. C. (2018). Tzeltal: The demonstrative system. In S. C. Levinson, S. Cutfield, M. Dunn, N. J. Enfield, & S. Meira (Eds.), Demonstratives in cross-linguistic perspective (pp. 150-177). Cambridge: Cambridge University Press.
  • Byun, K.-S., De Vos, C., Roberts, S. G., & Levinson, S. C. (2018). Interactive sequences modulate the selection of expressive forms in cross-signing. In C. Cuskley, M. Flaherty, H. Little, L. McCrohon, A. Ravignani, & T. Verhoef (Eds.), Proceedings of the 12th International Conference on the Evolution of Language (EVOLANG XII) (pp. 67-69). Toruń, Poland: NCU Press. doi:10.12775/3991-1.012.
  • Coenen, J., & Klein, W. (1992). The acquisition of Dutch. In W. Klein, & C. Perdue (Eds.), Utterance structure: Developing grammars again (pp. 189-224). Amsterdam: Benjamins.
  • Crago, M. B., & Allen, S. E. M. (1998). Acquiring Inuktitut. In O. L. Taylor, & L. Leonard (Eds.), Language Acquisition Across North America: Cross-Cultural And Cross-Linguistic Perspectives (pp. 245-279). San Diego, CA, USA: Singular Publishing Group, Inc.
  • Crago, M. B., Allen, S. E. M., & Pesco, D. (1998). Issues of Complexity in Inuktitut and English Child Directed Speech. In Proceedings of the twenty-ninth Annual Stanford Child Language Research Forum (pp. 37-46).
  • Cristia, A., Ganesh, S., Casillas, M., & Ganapathy, S. (2018). Talker diarization in the wild: The case of child-centered daylong audio-recordings. In Proceedings of Interspeech 2018 (pp. 2583-2587). doi:10.21437/Interspeech.2018-2078.

    Abstract

    Speaker diarization (answering 'who spoke when') is a widely researched subject within speech technology. Numerous experiments have been run on datasets built from broadcast news, meeting data, and call centers—the task sometimes appears close to being solved. Much less work has begun to tackle the hardest diarization task of all: spontaneous conversations in real-world settings. Such diarization would be particularly useful for studies of language acquisition, where researchers investigate the speech children produce and hear in their daily lives. In this paper, we study audio gathered with a recorder worn by small children as they went about their normal days. As a result, each child was exposed to different acoustic environments with a multitude of background noises and a varying number of adults and peers. The inconsistency of speech and noise within and across samples poses a challenging task for speaker diarization systems, which we tackled via retraining and data augmentation techniques. We further studied sources of structured variation across raw audio files, including the impact of speaker type distribution, proportion of speech from children, and child age on diarization performance. We discuss the extent to which these findings might generalize to other samples of speech in the wild.
  • Cutler, A., & Otake, T. (1998). Assimilation of place in Japanese and Dutch. In R. Mannell, & J. Robert-Ribes (Eds.), Proceedings of the Fifth International Conference on Spoken Language Processing: vol. 5 (pp. 1751-1754). Sydney: ICLSP.

    Abstract

    Assimilation of place of articulation across a nasal and a following stop consonant is obligatory in Japanese, but not in Dutch. In four experiments the processing of assimilated forms by speakers of Japanese and Dutch was compared, using a task in which listeners blended pseudo-word pairs such as ranga-serupa. An assimilated blend of this pair would be rampa, an unassimilated blend rangpa. Japanese listeners produced significantly more assimilated than unassimilated forms, both with pseudo-Japanese and pseudo-Dutch materials, while Dutch listeners produced significantly more unassimilated than assimilated forms in each materials set. This suggests that Japanese listeners, whose native-language phonology involves obligatory assimilation constraints, represent the assimilated nasals in nasal-stop sequences as unmarked for place of articulation, while Dutch listeners, who are accustomed to hearing unassimilated forms, represent the same nasal segments as marked for place of articulation.
  • Ip, M. H. K., & Cutler, A. (2018). Asymmetric efficiency of juncture perception in L1 and L2. In K. Klessa, J. Bachan, A. Wagner, M. Karpiński, & D. Śledziński (Eds.), Proceedings of Speech Prosody 2018 (pp. 289-296). Baixas, France: ISCA. doi:10.21437/SpeechProsody.2018-59.

    Abstract

    In two experiments, Mandarin listeners resolved potential syntactic ambiguities in spoken utterances in (a) their native language (L1) and (b) English which they had learned as a second language (L2). A new disambiguation task was used, requiring speeded responses to select the correct meaning for structurally ambiguous sentences. Importantly, the ambiguities used in the study are identical in Mandarin and in English, and production data show that prosodic disambiguation of this type of ambiguity is also realised very similarly in the two languages. The perceptual results here showed however that listeners’ response patterns differed for L1 and L2, although there was a significant increase in similarity between the two response patterns with increasing exposure to the L2. Thus identical ambiguity and comparable disambiguation patterns in L1 and L2 do not lead to immediate application of the appropriate L1 listening strategy to L2; instead, it appears that such a strategy may have to be learned anew for the L2.
  • Ip, M. H. K., & Cutler, A. (2018). Cue equivalence in prosodic entrainment for focus detection. In J. Epps, J. Wolfe, J. Smith, & C. Jones (Eds.), Proceedings of the 17th Australasian International Conference on Speech Science and Technology (pp. 153-156).

    Abstract

    Using a phoneme detection task, the present series of
    experiments examines whether listeners can entrain to
    different combinations of prosodic cues to predict where focus
    will fall in an utterance. The stimuli were recorded by four
    female native speakers of Australian English who happened to
    have used different prosodic cues to produce sentences with
    prosodic focus: a combination of duration cues, mean and
    maximum F0, F0 range, and longer pre-target interval before
    the focused word onset, only mean F0 cues, only pre-target
    interval, and only duration cues. Results revealed that listeners
    can entrain in almost every condition except for where
    duration was the only reliable cue. Our findings suggest that
    listeners are flexible in the cues they use for focus processing.
  • Cutler, A., Burchfield, L. A., & Antoniou, M. (2018). Factors affecting talker adaptation in a second language. In J. Epps, J. Wolfe, J. Smith, & C. Jones (Eds.), Proceedings of the 17th Australasian International Conference on Speech Science and Technology (pp. 33-36).

    Abstract

    Listeners adapt rapidly to previously unheard talkers by
    adjusting phoneme categories using lexical knowledge, in a
    process termed lexically-guided perceptual learning. Although
    this is firmly established for listening in the native language
    (L1), perceptual flexibility in second languages (L2) is as yet
    less well understood. We report two experiments examining L1
    and L2 perceptual learning, the first in Mandarin-English late
    bilinguals, the second in Australian learners of Mandarin. Both
    studies showed stronger learning in L1; in L2, however,
    learning appeared for the English-L1 group but not for the
    Mandarin-L1 group. Phonological mapping differences from
    the L1 to the L2 are suggested as the reason for this result.
  • Cutler, A. (1994). How human speech recognition is affected by phonological diversity among languages. In R. Togneri (Ed.), Proceedings of the fifth Australian International Conference on Speech Science and Technology: Vol. 1 (pp. 285-288). Canberra: Australian Speech Science and Technology Association.

    Abstract

    Listeners process spoken language in ways which are adapted to the phonological structure of their native language. As a consequence, non-native speakers do not listen to a language in the same way as native speakers; moreover, listeners may use their native language listening procedures inappropriately with foreign input. With sufficient experience, however, it may be possible to inhibit this latter (counter-productive) behavior.
  • Cutler, A. (1998). How listeners find the right words. In Proceedings of the Sixteenth International Congress on Acoustics: Vol. 2 (pp. 1377-1380). Melville, NY: Acoustical Society of America.

    Abstract

    Languages contain tens of thousands of words, but these are constructed from a tiny handful of phonetic elements. Consequently, words resemble one another, or can be embedded within one another, a coup stick snot with standing. me process of spoken-word recognition by human listeners involves activation of multiple word candidates consistent with the input, and direct competition between activated candidate words. Further, human listeners are sensitive, at an early, prelexical, stage of speeeh processing, to constraints on what could potentially be a word of the language.
  • Cutler, A. (2000). How the ear comes to hear. In New Trends in Modern Linguistics [Part of Annual catalogue series] (pp. 6-10). Tokyo, Japan: Maruzen Publishers.
  • Cutler, A. (2000). Hoe het woord het oor verovert. In Voordrachten uitgesproken tijdens de uitreiking van de SPINOZA-premies op 15 februari 2000 (pp. 29-41). The Hague, The Netherlands: Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO).
  • Cutler, A., Kearns, R., Norris, D., & Scott, D. (1992). Listeners’ responses to extraneous signals coincident with English and French speech. In J. Pittam (Ed.), Proceedings of the 4th Australian International Conference on Speech Science and Technology (pp. 666-671). Canberra: Australian Speech Science and Technology Association.

    Abstract

    English and French listeners performed two tasks - click location and speeded click detection - with both English and French sentences, closely matched for syntactic and phonological structure. Clicks were located more accurately in open- than in closed-class words in both English and French; they were detected more rapidly in open- than in closed-class words in English, but not in French. The two listener groups produced the same pattern of responses, suggesting that higher-level linguistic processing was not involved in these tasks.
  • Cutler, A., & Farrell, J. (2018). Listening in first and second language. In J. I. Liontas (Ed.), The TESOL encyclopedia of language teaching. New York: Wiley. doi:10.1002/9781118784235.eelt0583.

    Abstract

    Listeners' recognition of spoken language involves complex decoding processes: The continuous speech stream must be segmented into its component words, and words must be recognized despite great variability in their pronunciation (due to talker differences, or to influence of phonetic context, or to speech register) and despite competition from many spuriously present forms supported by the speech signal. L1 listeners deal more readily with all levels of this complexity than L2 listeners. Fortunately, the decoding processes necessary for competent L2 listening can be taught in the classroom. Evidence-based methodologies targeted at the development of efficient speech decoding include teaching of minimal pairs, of phonotactic constraints, and of reduction processes, as well as the use of dictation and L2 video captions.
  • Cutler, A., Treiman, R., & Van Ooijen, B. (1998). Orthografik inkoncistensy ephekts in foneme detektion? In R. Mannell, & J. Robert-Ribes (Eds.), Proceedings of the Fifth International Conference on Spoken Language Processing: Vol. 6 (pp. 2783-2786). Sydney: ICSLP.

    Abstract

    The phoneme detection task is widely used in spoken word recognition research. Alphabetically literate participants, however, are more used to explicit representations of letters than of phonemes. The present study explored whether phoneme detection is sensitive to how target phonemes are, or may be, orthographically realised. Listeners detected the target sounds [b,m,t,f,s,k] in word-initial position in sequences of isolated English words. Response times were faster to the targets [b,m,t], which have consistent word-initial spelling, than to the targets [f,s,k], which are inconsistently spelled, but only when listeners’ attention was drawn to spelling by the presence in the experiment of many irregularly spelled fillers. Within the inconsistent targets [f,s,k], there was no significant difference between responses to targets in words with majority and minority spellings. We conclude that performance in the phoneme detection task is not necessarily sensitive to orthographic effects, but that salient orthographic manipulation can induce such sensitivity.
  • Cutler, A. (1992). Processing constraints of the native phonological repertoire on the native language. In Y. Tohkura, E. Vatikiotis-Bateson, & Y. Sagisaka (Eds.), Speech perception, production and linguistic structure (pp. 275-278). Tokyo: Ohmsha.
  • 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. (1992). Psychology and the segment. In G. Docherty, & D. Ladd (Eds.), Papers in laboratory phonology II: Gesture, segment, prosody (pp. 290-295). Cambridge: Cambridge University Press.
  • Cutler, A. (2000). Real words, phantom words and impossible words. In D. Burnham, S. Luksaneeyanawin, C. Davis, & M. Lafourcade (Eds.), Interdisciplinary approaches to language processing: The international conference on human and machine processing of language and speech (pp. 32-42). Bangkok: NECTEC.
  • Cutler, A., & Koster, M. (2000). Stress and lexical activation in Dutch. In B. Yuan, T. Huang, & X. Tang (Eds.), Proceedings of the Sixth International Conference on Spoken Language Processing: Vol. 1 (pp. 593-596). Beijing: China Military Friendship Publish.

    Abstract

    Dutch listeners were slower to make judgements about the semantic relatedness between a spoken target word (e.g. atLEET, 'athlete') and a previously presented visual prime word (e.g. SPORT 'sport') when the spoken word was mis-stressed. The adverse effect of mis-stressing confirms the role of stress information in lexical recognition in Dutch. However, although the erroneous stress pattern was always initially compatible with a competing word (e.g. ATlas, 'atlas'), mis-stressed words did not produced high false alarm rates in unrelated pairs (e.g. SPORT - atLAS). This suggests that stress information did not completely rule out segmentally matching but suprasegmentally mismatching words, a finding consistent with spoken-word recognition models involving multiple activation and inter-word competition.
  • Cutler, A., & Robinson, T. (1992). Response time as a metric for comparison of speech recognition by humans and machines. In J. Ohala, T. Neary, & B. Derwing (Eds.), Proceedings of the Second International Conference on Spoken Language Processing: Vol. 1 (pp. 189-192). Alberta: University of Alberta.

    Abstract

    The performance of automatic speech recognition systems is usually assessed in terms of error rate. Human speech recognition produces few errors, but relative difficulty of processing can be assessed via response time techniques. We report the construction of a measure analogous to response time in a machine recognition system. This measure may be compared directly with human response times. We conducted a trial comparison of this type at the phoneme level, including both tense and lax vowels and a variety of consonant classes. The results suggested similarities between human and machine processing in the case of consonants, but differences in the case of vowels.
  • Cutler, A., & Young, D. (1994). Rhythmic structure of word blends in English. In Proceedings of the Third International Conference on Spoken Language Processing (pp. 1407-1410). Kobe: Acoustical Society of Japan.

    Abstract

    Word blends combine fragments from two words, either in speech errors or when a new word is created. Previous work has demonstrated that in Japanese, such blends preserve moraic structure; in English they do not. A similar effect of moraic structure is observed in perceptual research on segmentation of continuous speech in Japanese; English listeners, by contrast, exploit stress units in segmentation, suggesting that a general rhythmic constraint may underlie both findings. The present study examined whether mis parallel would also hold for word blends. In spontaneous English polysyllabic blends, the source words were significantly more likely to be split before a strong than before a weak (unstressed) syllable, i.e. to be split at a stress unit boundary. In an experiment in which listeners were asked to identify the source words of blends, significantly more correct detections resulted when splits had been made before strong syllables. Word blending, like speech segmentation, appears to be constrained by language rhythm.
  • Cutler, A. (1992). The perception of speech: Psycholinguistic aspects. In W. Bright (Ed.), International encyclopedia of language: Vol. 3 (pp. 181-183). New York: Oxford University Press.
  • Cutler, A. (1992). The production and perception of word boundaries. In Y. Tohkura, E. Vatikiotis-Bateson, & Y. Sagisaka (Eds.), Speech perception, production and linguistic structure (pp. 419-425). Tokyo: Ohsma.
  • 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. (1992). Why not abolish psycholinguistics? In W. Dressler, H. Luschützky, O. Pfeiffer, & J. Rennison (Eds.), Phonologica 1988 (pp. 77-87). Cambridge: Cambridge University Press.
  • Cutler, A., McQueen, J. M., Baayen, R. H., & Drexler, H. (1994). Words within words in a real-speech corpus. In R. Togneri (Ed.), Proceedings of the 5th Australian International Conference on Speech Science and Technology: Vol. 1 (pp. 362-367). Canberra: Australian Speech Science and Technology Association.

    Abstract

    In a 50,000-word corpus of spoken British English the occurrence of words embedded within other words is reported. Within-word embedding in this real speech sample is common, and analogous to the extent of embedding observed in the vocabulary. Imposition of a syllable boundary matching constraint reduces but by no means eliminates spurious embedding. Embedded words are most likely to overlap with the beginning of matrix words, and thus may pose serious problems for speech recognisers.
  • Cutler, A., Norris, D., & McQueen, J. M. (2000). Tracking TRACE’s troubles. In A. Cutler, J. M. McQueen, & R. Zondervan (Eds.), Proceedings of SWAP (Workshop on Spoken Word Access Processes) (pp. 63-66). Nijmegen: Max-Planck-Institute for Psycholinguistics.

    Abstract

    Simulations explored the inability of the TRACE model of spoken-word recognition to model the effects on human listening of acoustic-phonetic mismatches in word forms. The source of TRACE's failure lay not in its interactive connectivity, not in the presence of interword competition, and not in the use of phonemic representations, but in the need for continuously optimised interpretation of the input. When an analogue of TRACE was allowed to cycle to asymptote on every slice of input, an acceptable simulation of the subcategorical mismatch data was achieved. Even then, however, the simulation was not as close as that produced by the Merge model.
  • D'Avis, F.-J., & Gretsch, P. (1994). Variations on "Variation": On the Acquisition of Complementizers in German. In R. Tracy, & E. Lattey (Eds.), How Tolerant is Universal Grammar? (pp. 59-109). Tübingen, Germany: Max-Niemeyer-Verlag.
  • Delgado, T., Ravignani, A., Verhoef, T., Thompson, B., Grossi, T., & Kirby, S. (2018). Cultural transmission of melodic and rhythmic universals: Four experiments and a model. In C. Cuskley, M. Flaherty, H. Little, L. McCrohon, A. Ravignani, & T. Verhoef (Eds.), Proceedings of the 12th International Conference on the Evolution of Language (EVOLANG XII) (pp. 89-91). Toruń, Poland: NCU Press. doi:10.12775/3991-1.019.
  • Dingemanse, M., Blythe, J., & Dirksmeyer, T. (2018). Formats for other-initiation of repair across languages: An exercise in pragmatic typology. In I. Nikolaeva (Ed.), Linguistic Typology: Critical Concepts in Linguistics. Vol. 4 (pp. 322-357). London: Routledge.

    Abstract

    In conversation, people regularly deal with problems of speaking, hearing, and understanding. We report on a cross-linguistic investigation of the conversational structure of other-initiated repair (also known as collaborative repair, feedback, requests for clarification, or grounding sequences). We take stock of formats for initiating repair across languages (comparable to English huh?, who?, y’mean X?, etc.) and find that different languages make available a wide but remarkably similar range of linguistic resources for this function. We exploit the patterned variation as evidence for several underlying concerns addressed by repair initiation: characterising trouble, managing responsibility, and handling knowledge. The concerns do not always point in the same direction and thus provide participants in interaction with alternative principles for selecting one format over possible others. By comparing conversational structures across languages, this paper contributes to pragmatic typology: the typology of systems of language use and the principles that shape them.
  • 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.
  • Duarte, R., Uhlmann, M., Van den Broek, D., Fitz, H., Petersson, K. M., & Morrison, A. (2018). Encoding symbolic sequences with spiking neural reservoirs. In Proceedings of the 2018 International Joint Conference on Neural Networks (IJCNN). doi:10.1109/IJCNN.2018.8489114.

    Abstract

    Biologically inspired spiking networks are an important tool to study the nature of computation and cognition in neural systems. In this work, we investigate the representational capacity of spiking networks engaged in an identity mapping task. We compare two schemes for encoding symbolic input, one in which input is injected as a direct current and one where input is delivered as a spatio-temporal spike pattern. We test the ability of networks to discriminate their input as a function of the number of distinct input symbols. We also compare performance using either membrane potentials or filtered spike trains as state variable. Furthermore, we investigate how the circuit behavior depends on the balance between excitation and inhibition, and the degree of synchrony and regularity in its internal dynamics. Finally, we compare different linear methods of decoding population activity onto desired target labels. Overall, our results suggest that even this simple mapping task is strongly influenced by design choices on input encoding, state-variables, circuit characteristics and decoding methods, and these factors can interact in complex ways. This work highlights the importance of constraining computational network models of behavior by available neurobiological evidence.
  • 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.
  • Eisenbeiss, S. (2000). The acquisition of Determiner Phrase in German child language. In M.-A. Friedemann, & L. Rizzi (Eds.), The Acquisition of Syntax (pp. 26-62). Harlow, UK: Pearson Education Ltd.
  • Eisner, F., & McQueen, J. M. (2018). Speech perception. In S. Thompson-Schill (Ed.), Stevens’ handbook of experimental psychology and cognitive neuroscience (4th ed.). Volume 3: Language & thought (pp. 1-46). Hoboken: Wiley. doi:10.1002/9781119170174.epcn301.

    Abstract

    This chapter reviews the computational processes that are responsible for recognizing word forms in the speech stream. We outline the different stages in a processing hierarchy from the extraction of general acoustic features, through speech‐specific prelexical processes, to the retrieval and selection of lexical representations. We argue that two recurring properties of the system as a whole are abstraction and adaptability. We also present evidence for parallel processing of information on different timescales, more specifically that segmental material in the speech stream (its consonants and vowels) is processed in parallel with suprasegmental material (the prosodic structures of spoken words). We consider evidence from both psycholinguistics and neurobiology wherever possible, and discuss how the two fields are beginning to address common computational problems. The challenge for future research in speech perception will be to build an account that links these computational problems, through functional mechanisms that address them, to neurobiological implementation.
  • Enfield, N. J. (2000). On linguocentrism. In M. Pütz, & M. H. Verspoor (Eds.), Explorations in linguistic relativity (pp. 125-157). Amsterdam: Benjamins.
  • Enfield, N. J., & Evans, G. (2000). Transcription as standardisation: The problem of Tai languages. In S. Burusphat (Ed.), Proceedings: the International Conference on Tai Studies, July 29-31, 1998, (pp. 201-212). Bangkok, Thailand: Institute of Language and Culture for Rural Development, Mahidol University.
  • Ergin, R., Senghas, A., Jackendoff, R., & Gleitman, L. (2018). Structural cues for symmetry, asymmetry, and non-symmetry in Central Taurus Sign Language. In C. Cuskley, M. Flaherty, H. Little, L. McCrohon, A. Ravignani, & T. Verhoef (Eds.), Proceedings of the 12th International Conference on the Evolution of Language (EVOLANG XII) (pp. 104-106). Toruń, Poland: NCU Press. doi:10.12775/3991-1.025.
  • Ernestus, M., & Smith, R. (2018). Qualitative and quantitative aspects of phonetic variation in Dutch eigenlijk. In F. Cangemi, M. Clayards, O. Niebuhr, B. Schuppler, & M. Zellers (Eds.), Rethinking reduction: Interdisciplinary perspectives on conditions, mechanisms, and domains for phonetic variation (pp. 129-163). Berlin/Boston: De Gruyter Mouton.
  • Flecken, M., & Von Stutterheim, C. (2018). Sprache und Kognition: Sprachvergleichende und lernersprachliche Untersuchungen zur Ereigniskonzeptualisierung. In S. Schimke, & H. Hopp (Eds.), Sprachverarbeitung im Zweitspracherwerb (pp. 325-356). Berlin: De Gruyter. doi:10.1515/9783110456356-014.
  • Floyd, S. (2018). Egophoricity and argument structure in Cha'palaa. In S. Floyd, E. Norcliffe, & L. San Roque (Eds.), Egophoricity (pp. 269-304). Amsterdam: Benjamins.

    Abstract

    The Cha’palaa language of Ecuador (Barbacoan) features verbal morphology for marking knowledge-based categories that, in usage, show a variant of the cross-linguistically recurrent pattern of ‘egophoric distribution': specific forms associate with speakers in contrast to others in statements and with addressees in contrast to others in questions. These are not person markers, but rather are used by speakers to portray their involvement in states of affairs as active, agentive participants (ego) versus other types of involvement (non-ego). They interact with person and argument structure, but through pragmatic ‘person sensitivities’ rather than through grammatical agreement. Not only does this pattern appear in verbal morphology, it also can be observed in alternations of predicate construction types and case alignment, helping to show how egophoric marking is a pervasive element of Cha'palaa's linguistic system. This chapter gives a first account of egophoricity in Cha’palaa, beginning with a discussion of person sensitivity, egophoric distribution, and issues of flexibility of marking with respect to degree of volition or control. It then focuses on a set of intransitive experiencer (or ‘endopathic') predicates that refer to internal states which mark egophoric values for the undergoer role, not the actor role, showing ‘quirky’ accusative marking instead of nominative case. It concludes with a summary of how egophoricity in Cha'palaa interacts with issues of argument structure in comparison to a language with person agreement, here represented by examples from Cha’palaa’s neighbor Ecuadorian Highland Quechua.
  • Forkel, S. J., & Catani, M. (2018). Structural Neuroimaging. In A. De Groot, & P. Hagoort (Eds.), Research Methods in Psycholinguistics and the Neurobiology of Language: A Practical Guide (pp. 288-308). Hoboken: Wiley. doi:10.1002/9781394259762.ch15.

    Abstract

    Structural imaging based on computerized tomography (CT) and magnetic resonance imaging (MRI) has progressively replaced traditional post‐mortem studies in the process of identifying the neuroanatomical basis of language. In the clinical setting, the information provided by structural imaging has been used to confirm the exact diagnosis and formulate an individualized treatment plan. In the research arena, neuroimaging has permitted to understand neuroanatomy at the individual and group level. The possibility to obtain quantitative measures of lesions has improved correlation analyses between severity of symptoms, lesion load, and lesion location. More recently, the development of structural imaging based on diffusion MRI has provided valid solutions to two major limitations of more conventional imaging. In stroke patients, diffusion can visualize early changes due to a stroke that are otherwise not detectable with more conventional structural imaging, with important implications for the clinical management of acute stroke patients. Beyond the sensitivity to early changes, diffusion imaging tractography presents the possibility of visualizing the trajectories of individual white matter pathways connecting distant regions. A pathway analysis based on tractography is offering a new perspective in neurolinguistics. First, it permits to formulate new anatomical models of language function in the healthy brain and allows to directly test these models in the human population without any reliance on animal models. Second, by defining the exact location of the damage to specific white matter connections we can understand the contribution of different mechanisms to the emergence of language deficits (e.g., cortical versus disconnection mechanisms). Finally, a better understanding of the anatomical variability of different language networks is helping to identify new anatomical predictors of language recovery. In this chapter we will focus on the principles of structural MRI and, in particular, diffusion imaging and tractography and present examples of how these methods have informed our understanding of variance in language performances in the healthy brain and language deficits in patient populations.
  • Galke, L., Gerstenkorn, G., & Scherp, A. (2018). A case study of closed-domain response suggestion with limited training data. In M. Elloumi, M. Granitzer, A. Hameurlain, C. Seifert, B. Stein, A. Min Tjoa, & R. Wagner (Eds.), Database and Expert Systems Applications: DEXA 2018 International Workshops, BDMICS, BIOKDD, and TIR, Regensburg, Germany, September 3–6, 2018, Proceedings (pp. 218-229). Cham, Switzerland: Springer.

    Abstract

    We analyze the problem of response suggestion in a closed domain along a real-world scenario of a digital library. We present a text-processing pipeline to generate question-answer pairs from chat transcripts. On this limited amount of training data, we compare retrieval-based, conditioned-generation, and dedicated representation learning approaches for response suggestion. Our results show that retrieval-based methods that strive to find similar, known contexts are preferable over parametric approaches from the conditioned-generation family, when the training data is limited. We, however, identify a specific representation learning approach that is competitive to the retrieval-based approaches despite the training data limitation.
  • Galke, L., Mai, F., & Vagliano, I. (2018). Multi-modal adversarial autoencoders for recommendations of citations and subject labels. In T. Mitrovic, J. Zhang, L. Chen, & D. Chin (Eds.), UMAP '18: Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization (pp. 197-205). New York: ACM. doi:10.1145/3209219.3209236.

    Abstract

    We present multi-modal adversarial autoencoders for recommendation and evaluate them on two different tasks: citation recommendation and subject label recommendation. We analyze the effects of adversarial regularization, sparsity, and different input modalities. By conducting 408 experiments, we show that adversarial regularization consistently improves the performance of autoencoders for recommendation. We demonstrate, however, that the two tasks differ in the semantics of item co-occurrence in the sense that item co-occurrence resembles relatedness in case of citations, yet implies diversity in case of subject labels. Our results reveal that supplying the partial item set as input is only helpful, when item co-occurrence resembles relatedness. When facing a new recommendation task it is therefore crucial to consider the semantics of item co-occurrence for the choice of an appropriate model.
  • Gingras, B., Honing, H., Peretz, I., Trainor, L. J., & Fisher, S. E. (2018). Defining the biological bases of individual differences in musicality. In H. Honing (Ed.), The origins of musicality (pp. 221-250). Cambridge, MA: MIT Press.
  • Gussenhoven, C., & Chen, A. (2000). Universal and language-specific effects in the perception of question intonation. In B. Yuan, T. Huang, & X. Tang (Eds.), Proceedings of the 6th International Conference on Spoken Language Processing (ICSLP) (pp. 91-94). Beijing: China Military Friendship Publish.

    Abstract

    Three groups of monolingual listeners, with Standard Chinese, Dutch and Hungarian as their native language, judged pairs of trisyllabic stimuli which differed only in their itch pattern. The segmental structure of the stimuli was made up by the experimenters and presented to subjects as being taken from a little-known language spoken on a South Pacific island. Pitch patterns consisted of a single rise-fall located on or near the second syllable. By and large, listeners selected the stimulus with the higher peak, the later eak, and the higher end rise as the one that signalled a question, regardless of language group. The result is argued to reflect innate, non-linguistic knowledge of the meaning of pitch variation, notably Ohala’s Frequency Code. A significant difference between groups is explained as due to the influence of the mother tongue.
  • Gussenhoven, C., & Chen, A. (2000). Universal and language-specific effects in the perception of question intonation. In Proceedings of the 6th International Conference on Spoken Language Processing (ICSLP) (pp. 91-94).
  • Hagoort, P., & Brown, C. M. (1994). Brain responses to lexical ambiguity resolution and parsing. In C. Clifton Jr, L. Frazier, & K. Rayner (Eds.), Perspectives on sentence processing (pp. 45-81). Hilsdale NY: Lawrence Erlbaum Associates.
  • 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.
  • Hammarström, H. (2018). Language isolates in the New Guinea region. In L. Campbell (Ed.), Language Isolates (pp. 287-322). London: Routledge.
  • Harbusch, K., & Kempen, G. (2000). Complexity of linear order computation in Performance Grammar, TAG and HPSG. In Proceedings of Fifth International Workshop on Tree Adjoining Grammars and Related Formalisms (TAG+5) (pp. 101-106).

    Abstract

    This paper investigates the time and space complexity of word order computation in the psycholinguistically motivated grammar formalism of Performance Grammar (PG). In PG, the first stage of syntax assembly yields an unordered tree ('mobile') consisting of a hierarchy of lexical frames (lexically anchored elementary trees). Associated with each lexica l frame is a linearizer—a Finite-State Automaton that locally computes the left-to-right order of the branches of the frame. Linearization takes place after the promotion component may have raised certain constituents (e.g. Wh- or focused phrases) into the domain of lexical frames higher up in the syntactic mobile. We show that the worst-case time and space complexity of analyzing input strings of length n is O(n5) and O(n4), respectively. This result compares favorably with the time complexity of word-order computations in Tree Adjoining Grammar (TAG). A comparison with Head-Driven Phrase Structure Grammar (HPSG) reveals that PG yields a more declarative linearization method, provided that the FSA is rewritten as an equivalent regular expression.
  • Hoey, E., & Kendrick, K. H. (2018). Conversation analysis. In A. M. B. De Groot, & P. Hagoort (Eds.), Research methods in psycholinguistics and the neurobiology of language: A practical guide (pp. 151-173). Hoboken: Wiley.

    Abstract

    Conversation Analysis (CA) is an inductive, micro-analytic, and predominantly qualitative
    method for studying human social interactions. This chapter describes and illustrates the basic
    methods of CA. We first situate the method by describing its sociological foundations, key areas
    of analysis, and particular approach in using naturally occurring data. The bulk of the chapter is
    devoted to practical explanations of the typical conversation analytic process for collecting data
    and producing an analysis. We analyze a candidate interactional practice – the assessmentimplicative
    interrogative – using real data extracts as a demonstration of the method, explicitly
    laying out the relevant questions and considerations for every stage of an analysis. The chapter
    concludes with some discussion of quantitative approaches to conversational interaction, and
    links between CA and psycholinguistic concerns
  • Hopman, E., Thompson, B., Austerweil, J., & Lupyan, G. (2018). Predictors of L2 word learning accuracy: A big data investigation. In C. Kalish, M. Rau, J. Zhu, & T. T. Rogers (Eds.), Proceedings of the 40th Annual Conference of the Cognitive Science Society (CogSci 2018) (pp. 513-518). Austin, TX: Cognitive Science Society.

    Abstract

    What makes some words harder to learn than others in a second language? Although some robust factors have been identified based on small scale experimental studies, many relevant factors are difficult to study in such experiments due to the amount of data necessary to test them. Here, we investigate what factors affect the ease of learning of a word in a second language using a large data set of users learning English as a second language through the Duolingo mobile app. In a regression analysis, we test and confirm the well-studied effect of cognate status on word learning accuracy. Furthermore, we find significant effects for both cross-linguistic semantic alignment and English semantic density, two novel predictors derived from large scale distributional models of lexical semantics. Finally, we provide data on several other psycholinguistically plausible word level predictors. We conclude with a discussion of the limits, benefits and future research potential of using big data for investigating second language learning.
  • Indefrey, P. (2018). The relationship between syntactic production and comprehension. In S.-A. Rueschemeyer, & M. G. Gaskell (Eds.), The Oxford Handbook of Psycholinguistics (2nd ed., pp. 486-505). Oxford: Oxford University Press.

    Abstract

    This chapter deals with the question of whether there is one syntactic system that is shared by language production and comprehension or whether there are two separate systems. It first discusses arguments in favor of one or the other option and then presents the current evidence on the brain structures involved in sentence processing. The results of meta-analyses of numerous neuroimaging studies suggest that there is one system consisting of functionally distinct cortical regions: the dorsal part of Broca’s area subserving compositional syntactic processing; the ventral part of Broca’s area subserving compositional semantic processing; and the left posterior temporal cortex (Wernicke’s area) subserving the retrieval of lexical syntactic and semantic information. Sentence production, the comprehension of simple and complex sentences, and the parsing of sentences containing grammatical violations differ with respect to the recruitment of these functional components.
  • Indefrey, P., & Levelt, W. J. M. (2000). The neural correlates of language production. In M. S. Gazzaniga (Ed.), The new cognitive neurosciences; 2nd ed. (pp. 845-865). Cambridge, MA: MIT Press.

    Abstract

    This chapter reviews the findings of 58 word production experiments using different tasks and neuroimaging techniques. The reported cerebral activation sites are coded in a common anatomic reference system. Based on a functional model of language production, the different word production tasks are analyzed in terms of their processing components. This approach allows a distinction between the core process of word production and preceding task-specific processes (lead-in processes) such as visual or auditory stimulus recognition. The core process of word production is subserved by a left-lateralized perisylvian/thalamic language production network. Within this network there seems to be functional specialization for the processing stages of word production. In addition, this chapter includes a discussion of the available evidence on syntactic production, self-monitoring, and the time course of word production.
  • Ingvar, M., & Petersson, K. M. (2000). Functional maps and brain networks. In A. W. Toga (Ed.), Brain mapping: The systems (pp. 111-140). San Diego: Academic Press.
  • Isbilen, E., Frost, R. L. A., Monaghan, P., & Christiansen, M. (2018). Bridging artificial and natural language learning: Comparing processing- and reflection-based measures of learning. In C. Kalish, M. Rau, J. Zhu, & T. T. Rogers (Eds.), Proceedings of the 40th Annual Conference of the Cognitive Science Society (CogSci 2018) (pp. 1856-1861). Austin, TX: Cognitive Science Society.

    Abstract

    A common assumption in the cognitive sciences is that artificial and natural language learning rely on shared mechanisms. However, attempts to bridge the two have yielded ambiguous results. We suggest that an empirical disconnect between the computations employed during learning and the methods employed at test may explain these mixed results. Further, we propose statistically-based chunking as a potential computational link between artificial and natural language learning. We compare the acquisition of non-adjacent dependencies to that of natural language structure using two types of tasks: reflection-based 2AFC measures, and processing-based recall measures, the latter being more computationally analogous to the processes used during language acquisition. Our results demonstrate that task-type significantly influences the correlations observed between artificial and natural language acquisition, with reflection-based and processing-based measures correlating within – but not across – task-type. These findings have fundamental implications for artificial-to-natural language comparisons, both methodologically and theoretically.
  • Janse, E., Sennema, A., & Slis, A. (2000). Fast speech timing in Dutch: The durational correlates of lexical stress and pitch accent. In Proceedings of the VIth International Conference on Spoken Language Processing, Vol. III (pp. 251-254).

    Abstract

    n this study we investigated the durational correlates of lexical stress and pitch accent at normal and fast speech rate in Dutch. Previous literature on English shows that durations of lexically unstressed vowels are reduced more than stressed vowels when speakers increase their speech rate. We found that the same holds for Dutch, irrespective of whether the unstressed vowel is schwa or a "full" vowel. In the same line, we expected that vowels in words without a pitch accent would be shortened relatively more than vowels in words with a pitch accent. This was not the case: if anything, the accented vowels were shortened relatively more than the unaccented vowels. We conclude that duration is an important cue for lexical stress, but not for pitch accent.
  • Janse, E. (2000). Intelligibility of time-compressed speech: Three ways of time-compression. In Proceedings of the VIth International Conference on Spoken Language Processing, vol. III (pp. 786-789).

    Abstract

    Studies on fast speech have shown that word-level timing of fast speech differs from that of normal rate speech in that unstressed syllables are shortened more than stressed syllables as speech rate increases. An earlier experiment showed that the intelligibility of time-compressed speech could not be improved by making its temporal organisation closer to natural fast speech. To test the hypothesis that segmental intelligibility is more important than prosodic timing in listening to timecompressed speech, the intelligibility of bisyllabic words was tested in three time-compression conditions: either stressed and unstressed syllable were compressed to the same degree, or the stressed syllable was compressed more than the unstressed syllable, or the reverse. As was found before, imitating wordlevel timing of fast speech did not improve intelligibility over linear compression. However, the results did not confirm the hypothesis either: there was no difference in intelligibility between the three compression conditions. We conclude that segmental intelligibility plays an important role, but further research is necessary to decide between the contributions of prosody and segmental intelligibility to the word-level intelligibility of time-compressed speech.
  • Janssen, R., Moisik, S. R., & Dediu, D. (2018). Agent model reveals the influence of vocal tract anatomy on speech during ontogeny and glossogeny. In C. Cuskley, M. Flaherty, H. Little, L. McCrohon, A. Ravignani, & T. Verhoef (Eds.), Proceedings of the 12th International Conference on the Evolution of Language (EVOLANG XII) (pp. 171-174). Toruń, Poland: NCU Press. doi:10.12775/3991-1.042.
  • Janssen, R., & Dediu, D. (2018). Genetic biases affecting language: What do computer models and experimental approaches suggest? In T. Poibeau, & A. Villavicencio (Eds.), Language, Cognition and Computational Models (pp. 256-288). Cambridge: Cambridge University Press.

    Abstract

    Computer models of cultural evolution have shown language properties emerging on interacting agents with a brain that lacks dedicated, nativist language modules. Notably, models using Bayesian agents provide a precise specification of (extra-)liguististic factors (e.g., genetic) that shape language through iterated learning (biases on language), and demonstrate that weak biases get expressed more strongly over time (bias amplification). Other models attempt to lessen assumption on agents’ innate predispositions even more, and emphasize self-organization within agents, highlighting glossogenesis (the development of language from a nonlinguistic state). Ultimately however, one also has to recognize that biology and culture are strongly interacting, forming a coevolving system. As such, computer models show that agents might (biologically) evolve to a state predisposed to language adaptability, where (culturally) stable language features might get assimilated into the genome via Baldwinian niche construction. In summary, while many questions about language evolution remain unanswered, it is clear that it is not to be completely understood from a purely biological, cognitivist perspective. Language should be regarded as (partially) emerging on the social interactions between large populations of speakers. In this context, agent models provide a sound approach to investigate the complex dynamics of genetic biasing on language and speech
  • Janzen, G., Herrmann, T., Katz, S., & Schweizer, K. (2000). Oblique Angled Intersections and Barriers: Navigating through a Virtual Maze. In Spatial Cognition II (pp. 277-294). Berlin: Springer.

    Abstract

    The configuration of a spatial layout has a substantial effect on the acquisition and the representation of the environment. In four experiments, we investigated navigation difficulties arising at oblique angled intersections. In the first three studies we investigated specific arrow-fork configurations. In dependence on the branch subjects use to enter the intersection different decision latencies and numbers of errors arise. If subjects see the intersection as a fork, it is more difficult to find the correct way as if it is seen as an arrow. In a fourth study we investigated different heuristics people use while making a detour around a barrier. Detour behaviour varies with the perspective. If subjects learn and navigate through the maze in a field perspective they use a heuristic of preferring right angled paths. If they have a view from above and acquire their knowledge in an observer perspective they use oblique angled paths more often.

    Files private

    Request files
  • Johnson, E. K., Jusczyk, P. W., Cutler, A., & Norris, D. (2000). The development of word recognition: The use of the possible-word constraint by 12-month-olds. In L. Gleitman, & A. Joshi (Eds.), Proceedings of CogSci 2000 (pp. 1034). London: Erlbaum.
  • Jordens, P. (1998). Defaultformen des Präteritums. Zum Erwerb der Vergangenheitsmorphologie im Niederlänidischen. In H. Wegener (Ed.), Eine zweite Sprache lernen (pp. 61-88). Tübingen, Germany: Verlag Gunter Narr.
  • Kanero, J., Franko, I., Oranç, C., Uluşahin, O., Koskulu, S., Adigüzel, Z., Küntay, A. C., & Göksun, T. (2018). Who can benefit from robots? Effects of individual differences in robot-assisted language learning. In Proceedings of the 8th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob) (pp. 212-217). Piscataway, NJ, USA: IEEE.

    Abstract

    It has been suggested that some individuals may benefit more from social robots than do others. Using second
    language (L2) as an example, the present study examined how individual differences in attitudes toward robots and personality
    traits may be related to learning outcomes. Preliminary results with 24 Turkish-speaking adults suggest that negative attitudes
    toward robots, more specifically thoughts and anxiety about the negative social impact that robots may have on the society,
    predicted how well adults learned L2 words from a social robot. The possible implications of the findings as well as future directions are also discussed
  • Kempen, G., & Vosse, T. (1992). A language-sensitive text editor for Dutch. In P. O’Brian Holt, & N. Williams (Eds.), Computers and writing: State of the art (pp. 68-77). Dordrecht: Kluwer Academic Publishers.

    Abstract

    Modern word processors begin to offer a range of facilities for spelling, grammar and style checking in English. For the Dutch language hardly anything is available as yet. Many commercial word processing packages do include a hyphenation routine and a lexicon-based spelling checker but the practical usefulness of these tools is limited due to certain properties of Dutch orthography, as we will explain below. In this chapter we describe a text editor which incorporates a great deal of lexical, morphological and syntactic knowledge of Dutch and monitors the orthographical quality of Dutch texts. Section 1 deals with those aspects of Dutch orthography which pose problems to human authors as well as to computational language sensitive text editing tools. In section 2 we describe the design and the implementation of the text editor we have built. Section 3 is mainly devoted to a provisional evaluation of the system.
  • Kempen, G., & Harbusch, K. (1998). A 'tree adjoining' grammar without adjoining: The case of scrambling in German. In Fourth International Workshop on Tree Adjoining Grammars and Related Frameworks (TAG+4).
  • Kempen, G. (1992). Generation. In W. Bright (Ed.), International encyclopedia of linguistics (pp. 59-61). New York: Oxford University Press.
  • Kempen, G. (1994). Innovative language checking software for Dutch. In J. Van Gent, & E. Peeters (Eds.), Proceedings of the 2e Dag van het Document (pp. 99-100). Delft: TNO Technisch Physische Dienst.
  • Kempen, G. (1992). Language technology and language instruction: Computational diagnosis of word level errors. In M. Swartz, & M. Yazdani (Eds.), Intelligent tutoring systems for foreign language learning: The bridge to international communication (pp. 191-198). Berlin: Springer.

Share this page