Publications

Displaying 1 - 100 of 126
  • Alhama, R. G., Siegelman, N., Frost, R., & Armstrong, B. C. (2019). The role of information in visual word recognition: A perceptually-constrained connectionist account. In A. Goel, C. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Meeting of the Cognitive Science Society (CogSci 2019) (pp. 83-89). Austin, TX: Cognitive Science Society.

    Abstract

    Proficient readers typically fixate near the center of a word, with a slight bias towards word onset. We explore a novel account of this phenomenon based on combining information-theory with visual perceptual constraints in a connectionist model of visual word recognition. This account posits that the amount of information-content available for word identification varies across fixation locations and across languages, thereby explaining the overall fixation location bias in different languages, making the novel prediction that certain words are more readily identified when fixating at an atypical fixation location, and predicting specific cross-linguistic differences. We tested these predictions across several simulations in English and Hebrew, and in a pilot behavioral experiment. Results confirmed that the bias to fixate closer to word onset aligns with maximizing information in the visual signal, that some words are more readily identified at atypical fixation locations, and that these effects vary to some degree across languages.
  • Almeida, L., Amdal, I., Beires, N., Boualem, M., Boves, L., Den Os, E., Filoche, P., Gomes, R., Knudsen, J. E., Kvale, K., Rugelbak, J., Tallec, C., & Warakagoda, N. (2002). Implementing and evaluating a multimodal tourist guide. In J. v. Kuppevelt, L. Dybkjær, & N. Bernsen (Eds.), Proceedings of the International CLASS Workshop on Natural, Intelligent and Effective Interaction in Multimodal Dialogue System (pp. 1-7). Copenhagen: Kluwer.
  • Badimala, P., Mishra, C., Venkataramana, R. K. M., Bukhari, S. S., & Dengel, A. (2019). A Study of Various Text Augmentation Techniques for Relation Classification in Free Text. In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods (pp. 360-367). Setúbal, Portugal: SciTePress Digital Library. doi:10.5220/0007311003600367.

    Abstract

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

    Abstract

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

    Abstract

    The mismatch between top-down predicted and bottom-up perceptual input is an important mechanism of perception according to the predictive coding framework (Friston, [1]). In this paper we develop and validate a new information-theoretic measure that quantifies the mismatch between expected and observed auditory input during speech processing. We argue that such a mismatch measure is useful for the study of speech processing. To compute the mismatch measure, we use naturalistic speech materials containing approximately 50,000 word tokens. For each word token we first estimate the prior word probability distribution with the aid of statistical language modelling, and next use automatic speech recognition to update this word probability distribution based on the unfolding speech signal. We validate the mismatch measure with multiple analyses, and show that the auditory-based update improves the probability of the correct word and lowers the uncertainty of the word probability distribution. Based on these results, we argue that it is possible to explicitly estimate the mismatch between predicted and perceived speech input with the cross entropy between word expectations computed before and after an auditory update.
  • Bowerman, M., Brown, P., Eisenbeiss, S., Narasimhan, B., & Slobin, D. I. (2002). Putting things in places: Developmental consequences of linguistic typology. In E. V. Clark (Ed.), Proceedings of the 31st Stanford Child Language Research Forum. Space in language location, motion, path, and manner (pp. 1-29). Stanford: Center for the Study of Language & Information.

    Abstract

    This study explores how adults and children describe placement events (e.g., putting a book on a table) in a range of different languages (Finnish, English, German, Russian, Hindi, Tzeltal Maya, Spanish, and Turkish). Results show that the eight languages grammatically encode placement events in two main ways (Talmy, 1985, 1991), but further investigation reveals fine-grained crosslinguistic variation within each of the two groups. Children are sensitive to these finer-grained characteristics of the input language at an early age, but only when such features are perceptually salient. Our study demonstrates that a unitary notion of 'event' does not suffice to characterize complex but systematic patterns of event encoding crosslinguistically, and that children are sensitive to multiple influences, including the distributional properties of the target language, in constructing these patterns in their own speech.
  • Brehm, L., Jackson, C. N., & Miller, K. L. (2019). Incremental interpretation in the first and second language. In M. Brown, & B. Dailey (Eds.), BUCLD 43: Proceedings of the 43rd annual Boston University Conference on Language Development (pp. 109-122). Sommerville, MA: Cascadilla Press.
  • Broeder, D., Offenga, F., & Willems, D. (2002). Metadata tools supporting controlled vocabulary services. In M. Rodriguez González, & C. Paz SuárezR Araujo (Eds.), Third international conference on language resources and evaluation (pp. 1055-1059). Paris: European Language Resources Association.

    Abstract

    Within the ISLE Metadata Initiative (IMDI) project a user-friendly editor to enter metadata descriptions and a browser operating on the linked metadata descriptions were developed. Both tools support the usage of Controlled Vocabulary (CV) repositories by means of the specification of an URL where the formal CV definition data is available.
  • Broeder, D., Wittenburg, P., Declerck, T., & Romary, L. (2002). LREP: A language repository exchange protocol. In M. Rodriguez González, & C. Paz Suárez Araujo (Eds.), Third international conference on language resources and evaluation (pp. 1302-1305). Paris: European Language Resources Association.

    Abstract

    The recent increase in the number and complexity of the language resources available on the Internet is followed by a similar increase of available tools for linguistic analysis. Ideally the user does not need to be confronted with the question in how to match tools with resources. If resource repositories and tool repositories offer adequate metadata information and a suitable exchange protocol is developed this matching process could be performed (semi-) automatically.
  • Broersma, M. (2002). Comprehension of non-native speech: Inaccurate phoneme processing and activation of lexical competitors. In ICSLP-2002 (pp. 261-264). Denver: Center for Spoken Language Research, U. of Colorado Boulder.

    Abstract

    Native speakers of Dutch with English as a second language and native speakers of English participated in an English lexical decision experiment. Phonemes in real words were replaced by others from which they are hard to distinguish for Dutch listeners. Non-native listeners judged the resulting near-words more often as a word than native listeners. This not only happened when the phonemes that were exchanged did not exist as separate phonemes in the native language Dutch, but also when phoneme pairs that do exist in Dutch were used in word-final position, where they are not distinctive in Dutch. In an English bimodal priming experiment with similar groups of participants, word pairs were used which differed in one phoneme. These phonemes were hard to distinguish for the non-native listeners. Whereas in native listening both words inhibited each other, in non-native listening presentation of one word led to unresolved competition between both words. The results suggest that inaccurate phoneme processing by non-native listeners leads to the activation of spurious lexical competitors.
  • Bruggeman, L., & Cutler, A. (2019). The dynamics of lexical activation and competition in bilinguals’ first versus second language. In S. Calhoun, P. Escudero, M. Tabain, & P. Warren (Eds.), Proceedings of the 19th International Congress of Phonetic Sciences (ICPhS 20195) (pp. 1342-1346). Canberra, Australia: Australasian Speech Science and Technology Association Inc.

    Abstract

    Speech input causes listeners to activate multiple
    candidate words which then compete with one
    another. These include onset competitors, that share a
    beginning (bumper, butter), but also, counterintuitively,
    rhyme competitors, sharing an ending
    (bumper, jumper). In L1, competition is typically
    stronger for onset than for rhyme. In L2, onset
    competition has been attested but rhyme competition
    has heretofore remained largely unexamined. We
    assessed L1 (Dutch) and L2 (English) word
    recognition by the same late-bilingual individuals. In
    each language, eye gaze was recorded as listeners
    heard sentences and viewed sets of drawings: three
    unrelated, one depicting an onset or rhyme competitor
    of a word in the input. Activation patterns revealed
    substantial onset competition but no significant
    rhyme competition in either L1 or L2. Rhyme
    competition may thus be a “luxury” feature of
    maximally efficient listening, to be abandoned when
    resources are scarcer, as in listening by late
    bilinguals, in either language.
  • Brugman, H., Levinson, S. C., Skiba, R., & Wittenburg, P. (2002). The DOBES archive: It's purpose and implementation. In P. Austin, H. Dry, & P. Wittenburg (Eds.), Proceedings of the international LREC workshop on resources and tools in field linguistics (pp. 11-11). Paris: European Language Resources Association.
  • Brugman, H., Spenke, H., Kramer, M., & Klassmann, A. (2002). Multimedia annotation with multilingual input methods and search support.
  • Brugman, H., Wittenburg, P., Levinson, S. C., & Kita, S. (2002). Multimodal annotations in gesture and sign language studies. In M. Rodriguez González, & C. Paz Suárez Araujo (Eds.), Third international conference on language resources and evaluation (pp. 176-182). Paris: European Language Resources Association.

    Abstract

    For multimodal annotations an exhaustive encoding system for gestures was developed to facilitate research. The structural requirements of multimodal annotations were analyzed to develop an Abstract Corpus Model which is the basis for a powerful annotation and exploitation tool for multimedia recordings and the definition of the XML-based EUDICO Annotation Format. Finally, a metadata-based data management environment has been setup to facilitate resource discovery and especially corpus management. Bt means of an appropriate digitization policy and their online availability researchers have been able to build up a large corpus covering gesture and sign language data.
  • Cablitz, G. (2002). The acquisition of an absolute system: learning to talk about space in Marquesan (Oceanic, French Polynesia). In E. V. Clark (Ed.), Space in language location, motion, path, and manner (pp. 40-49). Stanford: Center for the Study of Language & Information (Electronic proceedings.
  • Chen, A., Gussenhoven, C., & Rietveld, T. (2002). Language-specific uses of the effort code. In B. Bel, & I. Marlien (Eds.), Proceedings of the 1st Conference on Speech Prosody (pp. 215-218). Aix=en-Provence: Université de Provence.

    Abstract

    Two groups of listeners with Dutch and British English language backgrounds judged Dutch and British English utterances, respectively, which varied in the intonation contour on the scales EMPHATIC vs. NOT EMPHATIC and SURPRISED vs. NOT SURPRISED, two meanings derived from the Effort Code. The stimuli, which differed in sentence mode but were otherwise lexically equivalent, were varied in peak height, peak alignment, end pitch, and overall register. In both languages, there are positive correlations between peak height and degree of emphasis, between peak height and degree of surprise, between peak alignment and degree of surprise, and between pitch register and degree of surprise. However, in all these cases, Dutch stimuli lead to larger perceived meaning differences than the British English stimuli. This difference in the extent to which increased pitch height triggers increases in perceived emphasis and surprise is argued to be due to the difference in the standard pitch ranges between Dutch and British English. In addition, we found a positive correlation between pitch register and the degree of emphasis in Dutch, but a negative correlation in British English. This is an unexpected difference, which illustrates a case of ambiguity in the meaning of pitch.
  • Cutler, A., McQueen, J. M., Jansonius, M., & Bayerl, S. (2002). The lexical statistics of competitor activation in spoken-word recognition. In C. Bow (Ed.), Proceedings of the 9th Australian International Conference on Speech Science and Technology (pp. 40-45). Canberra: Australian Speech Science and Technology Association (ASSTA).

    Abstract

    The Possible Word Constraint is a proposed mechanism whereby listeners avoid recognising words spuriously embedded in other words. It applies to words leaving a vowelless residue between their edge and the nearest known word or syllable boundary. The present study tests the usefulness of this constraint via lexical statistics of both English and Dutch. The analyses demonstrate that the constraint removes a clear majority of embedded words in speech, and thus can contribute significantly to the efficiency of human speech recognition
  • Cutler, A., Burchfield, A., & Antoniou, M. (2019). A criterial interlocutor tally for successful talker adaptation? In S. Calhoun, P. Escudero, M. Tabain, & P. Warren (Eds.), Proceedings of the 19th International Congress of Phonetic Sciences (ICPhS 20195) (pp. 1485-1489). Canberra, Australia: Australasian Speech Science and Technology Association Inc.

    Abstract

    Part of the remarkable efficiency of listening is
    accommodation to unfamiliar talkers’ specific
    pronunciations by retuning of phonemic intercategory
    boundaries. Such retuning occurs in second
    (L2) as well as first language (L1); however, recent
    research with emigrés revealed successful adaptation
    in the environmental L2 but, unprecedentedly, not in
    L1 despite continuing L1 use. A possible explanation
    involving relative exposure to novel talkers is here
    tested in heritage language users with Mandarin as
    family L1 and English as environmental language. In
    English, exposure to an ambiguous sound in
    disambiguating word contexts prompted the expected
    adjustment of phonemic boundaries in subsequent
    categorisation. However, no adjustment occurred in
    Mandarin, again despite regular use. Participants
    reported highly asymmetric interlocutor counts in the
    two languages. We conclude that successful retuning
    ability requires regular exposure to novel talkers in
    the language in question, a criterion not met for the
    emigrés’ or for these heritage users’ L1.
  • Cutler, A., & Fear, B. D. (1991). Categoricality in acceptability judgements for strong versus weak vowels. In J. Llisterri (Ed.), Proceedings of the ESCA Workshop on Phonetics and Phonology of Speaking Styles (pp. 18.1-18.5). Barcelona, Catalonia: Universitat Autonoma de Barcelona.

    Abstract

    A distinction between strong and weak vowels can be drawn on the basis of vowel quality, of stress, or of both factors. An experiment was conducted in which sets of contextually matched word-intial vowels ranging from clearly strong to clearly weak were cross-spliced, and the naturalness of the resulting words was rated by listeners. The ratings showed that in general cross-spliced words were only significantly less acceptable than unspliced words when schwa was not involved; this supports a categorical distinction based on vowel quality.
  • Cutler, A. (1991). Prosody in situations of communication: Salience and segmentation. In Proceedings of the Twelfth International Congress of Phonetic Sciences: Vol. 1 (pp. 264-270). Aix-en-Provence: Université de Provence, Service des publications.

    Abstract

    Speakers and listeners have a shared goal: to communicate. The processes of speech perception and of speech production interact in many ways under the constraints of this communicative goal; such interaction is as characteristic of prosodic processing as of the processing of other aspects of linguistic structure. Two of the major uses of prosodic information in situations of communication are to encode salience and segmentation, and these themes unite the contributions to the symposium introduced by the present review.
  • 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., 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.
  • Dideriksen, C., Fusaroli, R., Tylén, K., Dingemanse, M., & Christiansen, M. H. (2019). Contextualizing Conversational Strategies: Backchannel, Repair and Linguistic Alignment in Spontaneous and Task-Oriented Conversations. In A. K. Goel, C. M. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Conference of the Cognitive Science Society (CogSci 2019) (pp. 261-267). Montreal, QB: Cognitive Science Society.

    Abstract

    Do interlocutors adjust their conversational strategies to the specific contextual demands of a given situation? Prior studies have yielded conflicting results, making it unclear how strategies vary with demands. We combine insights from qualitative and quantitative approaches in a within-participant experimental design involving two different contexts: spontaneously occurring conversations (SOC) and task-oriented conversations (TOC). We systematically assess backchanneling, other-repair and linguistic alignment. We find that SOC exhibit a higher number of backchannels, a reduced and more generic repair format and higher rates of lexical and syntactic alignment. TOC are characterized by a high number of specific repairs and a lower rate of lexical and syntactic alignment. However, when alignment occurs, more linguistic forms are aligned. The findings show that conversational strategies adapt to specific contextual demands.
  • Dieuleveut, A., Van Dooren, A., Cournane, A., & Hacquard, V. (2019). Acquiring the force of modals: Sig you guess what sig means? In M. Brown, & B. Dailey (Eds.), BUCLD 43: Proceedings of the 43rd annual Boston University Conference on Language Development (pp. 189-202). Sommerville, MA: Cascadilla Press.
  • Dimroth, C., & Lasser, I. (Eds.). (2002). Finite options: How L1 and L2 learners cope with the acquisition of finiteness [Special Issue]. Linguistics, 40(4).
  • Doherty, M., & Klein, W. (Eds.). (1991). Übersetzung [Special Issue]. Zeitschrift für Literaturwissenschaft und Linguistik, (84).
  • Eijk, L., Ernestus, M., & Schriefers, H. (2019). Alignment of pitch and articulation rate. In S. Calhoun, P. Escudero, M. Tabain, & P. Warren (Eds.), Proceedings of the 19th International Congress of Phonetic Sciences (ICPhS 20195) (pp. 2690-2694). Canberra, Australia: Australasian Speech Science and Technology Association Inc.

    Abstract

    Previous studies have shown that speakers align their speech to each other at multiple linguistic levels. This study investigates whether alignment is mostly the result of priming from the immediately preceding
    speech materials, focussing on pitch and articulation rate (AR). Native Dutch speakers completed sentences, first by themselves (pre-test), then in alternation with Confederate 1 (Round 1), with Confederate 2 (Round 2), with Confederate 1 again
    (Round 3), and lastly by themselves again (post-test). Results indicate that participants aligned to the confederates and that this alignment lasted during the post-test. The confederates’ directly preceding sentences were not good predictors for the participants’ pitch and AR. Overall, the results indicate that alignment is more of a global effect than a local priming effect.
  • 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., & 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.
  • Felker, E. R., Ernestus, M., & Broersma, M. (2019). Evaluating dictation task measures for the study of speech perception. In S. Calhoun, P. Escudero, M. Tabain, & P. Warren (Eds.), Proceedings of the 19th International Congress of Phonetic Sciences (ICPhS 2019) (pp. 383-387). Canberra, Australia: Australasian Speech Science and Technology Association Inc.

    Abstract

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

    Abstract

    Lexically guided perceptual learning has traditionally been studied with ambiguous consonant sounds to which native listeners are exposed in a purely receptive listening context. To extend previous research, we investigate whether lexically guided learning applies to a vowel shift encountered by non-native listeners in an interactive dialogue. Dutch participants played a two-player game in English in either a control condition, which contained no evidence for a vowel shift, or a lexically constraining condition, in which onscreen lexical information required them to re-interpret their interlocutor’s /ɪ/ pronunciations as representing /ε/. A phonetic categorization pre-test and post-test were used to assess whether the game shifted listeners’ phonemic boundaries such that more of the /ε/-/ɪ/ continuum came to be perceived as /ε/. Both listener groups showed an overall post-test shift toward /ɪ/, suggesting that vowel perception may be sensitive to directional biases related to properties of the speaker’s vowel space. Importantly, listeners in the lexically constraining condition made relatively more post-test /ε/ responses than the control group, thereby exhibiting an effect of lexically guided adaptation. The results thus demonstrate that non-native listeners can adjust their phonemic boundaries on the basis of lexical information to accommodate a vowel shift learned in interactive conversation.
  • Fisher, S. E., & Tilot, A. K. (Eds.). (2019). Bridging senses: Novel insights from synaesthesia [Special Issue]. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences, 374.
  • Frost, R. L. A., Isbilen, E. S., Christiansen, M. H., & Monaghan, P. (2019). Testing the limits of non-adjacent dependency learning: Statistical segmentation and generalisation across domains. In A. K. Goel, C. M. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Meeting of the Cognitive Science Society (CogSci 2019) (pp. 1787-1793). Montreal, QB: Cognitive Science Society.

    Abstract

    Achieving linguistic proficiency requires identifying words from speech, and discovering the constraints that govern the way those words are used. In a recent study of non-adjacent dependency learning, Frost and Monaghan (2016) demonstrated that learners may perform these tasks together, using similar statistical processes - contrary to prior suggestions. However, in their study, non-adjacent dependencies were marked by phonological cues (plosive-continuant-plosive structure), which may have influenced learning. Here, we test the necessity of these cues by comparing learning across three conditions; fixed phonology, which contains these cues, varied phonology, which omits them, and shapes, which uses visual shape sequences to assess the generality of statistical processing for these tasks. Participants segmented the sequences and generalized the structure in both auditory conditions, but learning was best when phonological cues were present. Learning was around chance on both tasks for the visual shapes group, indicating statistical processing may critically differ across domains.
  • Galke, L., Vagliano, I., & Scherp, A. (2019). Can graph neural networks go „online“? An analysis of pretraining and inference. In Proceedings of the Representation Learning on Graphs and Manifolds: ICLR2019 Workshop.

    Abstract

    Large-scale graph data in real-world applications is often not static but dynamic,
    i. e., new nodes and edges appear over time. Current graph convolution approaches
    are promising, especially, when all the graph’s nodes and edges are available dur-
    ing training. When unseen nodes and edges are inserted after training, it is not
    yet evaluated whether up-training or re-training from scratch is preferable. We
    construct an experimental setup, in which we insert previously unseen nodes and
    edges after training and conduct a limited amount of inference epochs. In this
    setup, we compare adapting pretrained graph neural networks against retraining
    from scratch. Our results show that pretrained models yield high accuracy scores
    on the unseen nodes and that pretraining is preferable over retraining from scratch.
    Our experiments represent a first step to evaluate and develop truly online variants
    of graph neural networks.
  • Galke, L., Melnychuk, T., Seidlmayer, E., Trog, S., Foerstner, K., Schultz, C., & Tochtermann, K. (2019). Inductive learning of concept representations from library-scale bibliographic corpora. In K. David, K. Geihs, M. Lange, & G. Stumme (Eds.), Informatik 2019: 50 Jahre Gesellschaft für Informatik - Informatik für Gesellschaft (pp. 219-232). Bonn: Gesellschaft für Informatik e.V. doi:10.18420/inf2019_26.
  • Goldrick, M., Brehm, L., Pyeong Whan, C., & Smolensky, P. (2019). Transient blend states and discrete agreement-driven errors in sentence production. In G. J. Snover, M. Nelson, B. O'Connor, & J. Pater (Eds.), Proceedings of the Society for Computation in Linguistics (SCiL 2019) (pp. 375-376). doi:10.7275/n0b2-5305.
  • 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.
  • 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.
  • 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).
  • Hahn, L. E., Ten Buuren, M., De Nijs, M., Snijders, T. M., & Fikkert, P. (2019). Acquiring novel words in a second language through mutual play with child songs - The Noplica Energy Center. In L. Nijs, H. Van Regenmortel, & C. Arculus (Eds.), MERYC19 Counterpoints of the senses: Bodily experiences in musical learning (pp. 78-87). Ghent, Belgium: EuNet MERYC 2019.

    Abstract

    Child songs are a great source for linguistic learning. Here we explore whether children can acquire novel words in a second language by playing a game featuring child songs in a playhouse. We present data from three studies that serve as scientific proof for the functionality of one game of the playhouse: the Energy Center. For this game, three hand-bikes were mounted on a panel. When children start moving the hand-bikes, child songs start playing simultaneously. Once the children produce enough energy with the hand-bikes, the songs are additionally accompanied with the sounds of musical instruments. In our studies, children executed a picture-selection task to evaluate whether they acquired new vocabulary from the songs presented during the game. Two of our studies were run in the field, one at a Dutch and one at an Indian pre-school. The third study features data from a more controlled laboratory setting. Our results partly confirm that the Energy Center is a successful means to support vocabulary acquisition in a second language. More research with larger sample sizes and longer access to the Energy Center is needed to evaluate the overall functionality of the game. Based on informal observations at our test sites, however, we are certain that children do pick up linguistic content from the songs during play, as many of the children repeat words and phrases from songs they heard. We will pick up upon these promising observations during future studies
  • 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.
  • 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.
  • Heilbron, M., Ehinger, B., Hagoort, P., & De Lange, F. P. (2019). Tracking naturalistic linguistic predictions with deep neural language models. In Proceedings of the 2019 Conference on Cognitive Computational Neuroscience (pp. 424-427). doi:10.32470/CCN.2019.1096-0.

    Abstract

    Prediction in language has traditionally been studied using
    simple designs in which neural responses to expected
    and unexpected words are compared in a categorical
    fashion. However, these designs have been contested
    as being ‘prediction encouraging’, potentially exaggerating
    the importance of prediction in language understanding.
    A few recent studies have begun to address
    these worries by using model-based approaches to probe
    the effects of linguistic predictability in naturalistic stimuli
    (e.g. continuous narrative). However, these studies
    so far only looked at very local forms of prediction, using
    models that take no more than the prior two words into
    account when computing a word’s predictability. Here,
    we extend this approach using a state-of-the-art neural
    language model that can take roughly 500 times longer
    linguistic contexts into account. Predictability estimates
    fromthe neural network offer amuch better fit to EEG data
    from subjects listening to naturalistic narrative than simpler
    models, and reveal strong surprise responses akin to
    the P200 and N400. These results show that predictability
    effects in language are not a side-effect of simple designs,
    and demonstrate the practical use of recent advances
    in AI for the cognitive neuroscience of language.
  • 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.
  • Janse, E. (2002). Time-compressing natural and synthetic speech. In Proceedings of 7th International Conference on Spoken Language Processing (pp. 1645-1648).
  • 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.
  • Joo, H., Jang, J., Kim, S., Cho, T., & Cutler, A. (2019). Prosodic structural effects on coarticulatory vowel nasalization in Australian English in comparison to American English. In S. Calhoun, P. Escudero, M. Tabain, & P. Warren (Eds.), Proceedings of the 19th International Congress of Phonetic Sciences (ICPhS 20195) (pp. 835-839). Canberra, Australia: Australasian Speech Science and Technology Association Inc.

    Abstract

    This study investigates effects of prosodic factors (prominence, boundary) on coarticulatory Vnasalization in Australian English (AusE) in CVN and NVC in comparison to those in American English
    (AmE). As in AmE, prominence was found to
    lengthen N, but to reduce V-nasalization, enhancing N’s nasality and V’s orality, respectively (paradigmatic contrast enhancement). But the prominence effect in CVN was more robust than that in AmE. Again similar to findings in AmE, boundary
    induced a reduction of N-duration and V-nasalization phrase-initially (syntagmatic contrast enhancement), and increased the nasality of both C and V phrasefinally.
    But AusE showed some differences in terms
    of the magnitude of V nasalization and N duration. The results suggest that the linguistic contrast enhancements underlie prosodic-structure modulation of coarticulatory V-nasalization in
    comparable ways across dialects, while the fine phonetic detail indicates that the phonetics-prosody interplay is internalized in the individual dialect’s phonetic grammar.
  • Kearns, R. K., Norris, D., & Cutler, A. (2002). Syllable processing in English. In Proceedings of the 7th International Conference on Spoken Language Processing [ICSLP 2002] (pp. 1657-1660).

    Abstract

    We describe a reaction time study in which listeners detected word or nonword syllable targets (e.g. zoo, trel) in sequences consisting of the target plus a consonant or syllable residue (trelsh, trelshek). The pattern of responses differed from an earlier word-spotting study with the same material, in which words were always harder to find if only a consonant residue remained. The earlier results should thus not be viewed in terms of syllabic parsing, but in terms of a universal role for syllables in speech perception; words which are accidentally present in spoken input (e.g. sell in self) can be rejected when they leave a residue of the input which could not itself be a word.
  • Kempen, G., & Van Breugel, C. (2002). A workbench for visual-interactive grammar instruction at the secondary education level. In Proceedings of the 10th International CALL Conference (pp. 157-158). Antwerp: University of Antwerp.
  • Kempen, G., & Harbusch, K. (2002). Rethinking the architecture of human syntactic processing: The relationship between grammatical encoding and decoding. In Proceedings of the 35th Meeting of the Societas Linguistica Europaea. University of Potsdam.
  • Klein, W. (Ed.). (2002). Sprache des Rechts II [Special Issue]. Zeitschrift für Literaturwissenschaft und Linguistik, 128.
  • Klein, W. (2000). Changing concepts of the nature-nurture debate. In R. Hide, J. Mittelstrass, & W. Singer (Eds.), Changing concepts of nature at the turn of the millenium: Proceedings plenary session of the Pontifical academy of sciences, 26-29 October 1998 (pp. 289-299). Vatican City: Pontificia Academia Scientiarum.
  • Klein, W., & Jungbluth, K. (Eds.). (2002). Deixis [Special Issue]. Zeitschrift für Literaturwissenschaft und Linguistik, 125.
  • Klein, W. (Ed.). (2000). Sprache des Rechts [Special Issue]. Zeitschrift für Literaturwissenschaft und Linguistik, (118).
  • Klein, W. (Ed.). (1979). Sprache und Kontext [Special Issue]. Zeitschrift für Literaturwissenschaft und Linguistik, (33).
  • Kuijpers, C., Van Donselaar, W., & Cutler, A. (2002). Perceptual effects of assimilation-induced violation of final devoicing in Dutch. In J. H. L. Hansen, & B. Pellum (Eds.), The 7th International Conference on Spoken Language Processing (pp. 1661-1664). Denver: ICSA.

    Abstract

    Voice assimilation in Dutch is an optional phonological rule which changes the surface forms of words and in doing so may violate the otherwise obligatory phonological rule of syllablefinal devoicing. We report two experiments examining the influence of voice assimilation on phoneme processing, in lexical compound words and in noun-verb phrases. Processing was not impaired in appropriate assimilation contexts across morpheme boundaries, but was impaired when devoicing was violated (a) in an inappropriate non-assimilatory) context, or (b) across a syntactic boundary.
  • Kuntay, A., & Ozyurek, A. (2002). Joint attention and the development of the use of demonstrative pronouns in Turkish. In B. Skarabela, S. Fish, & A. H. Do (Eds.), Proceedings of the 26th annual Boston University Conference on Language Development (pp. 336-347). Somerville, MA: Cascadilla Press.
  • Lansner, A., Sandberg, A., Petersson, K. M., & Ingvar, M. (2000). On forgetful attractor network memories. In H. Malmgren, M. Borga, & L. Niklasson (Eds.), Artificial neural networks in medicine and biology: Proceedings of the ANNIMAB-1 Conference, Göteborg, Sweden, 13-16 May 2000 (pp. 54-62). Heidelberg: Springer Verlag.

    Abstract

    A recurrently connected attractor neural network with a Hebbian learning rule is currently our best ANN analogy for a piece cortex. Functionally biological memory operates on a spectrum of time scales with regard to induction and retention, and it is modulated in complex ways by sub-cortical neuromodulatory systems. Moreover, biological memory networks are commonly believed to be highly distributed and engage many co-operating cortical areas. Here we focus on the temporal aspects of induction and retention of memory in a connectionist type attractor memory model of a piece of cortex. A continuous time, forgetful Bayesian-Hebbian learning rule is described and compared to the characteristics of LTP and LTD seen experimentally. More generally, an attractor network implementing this learning rule can operate as a long-term, intermediate-term, or short-term memory. Modulation of the print-now signal of the learning rule replicates some experimental memory phenomena, like e.g. the von Restorff effect.
  • Levelt, W. J. M. (1991). Lexical access in speech production: Stages versus cascading. In H. Peters, W. Hulstijn, & C. Starkweather (Eds.), Speech motor control and stuttering (pp. 3-10). Amsterdam: Excerpta Medica.
  • Levinson, S. C. (2000). Language as nature and language as art. In J. Mittelstrass, & W. Singer (Eds.), Proceedings of the Symposium on ‘Changing concepts of nature and the turn of the Millennium (pp. 257-287). Vatican City: Pontificae Academiae Scientiarium Scripta Varia.
  • Levinson, S. C. (2000). H.P. Grice on location on Rossel Island. In S. S. Chang, L. Liaw, & J. Ruppenhofer (Eds.), Proceedings of the 25th Annual Meeting of the Berkeley Linguistic Society (pp. 210-224). Berkeley: Berkeley Linguistic Society.
  • Levinson, S. C. (1979). Pragmatics and social deixis: Reclaiming the notion of conventional implicature. In C. Chiarello (Ed.), Proceedings of the Fifth Annual Meeting of the Berkeley Linguistics Society (pp. 206-223).
  • Liu, S., & Zhang, Y. (2019). Why some verbs are harder to learn than others – A micro-level analysis of everyday learning contexts for early verb learning. In A. K. Goel, C. M. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Meeting of the Cognitive Science Society (CogSci 2019) (pp. 2173-2178). Montreal, QB: Cognitive Science Society.

    Abstract

    Verb learning is important for young children. While most
    previous research has focused on linguistic and conceptual
    challenges in early verb learning (e.g. Gentner, 1982, 2006),
    the present paper examined early verb learning at the
    attentional level and quantified the input for early verb learning
    by measuring verb-action co-occurrence statistics in parent-
    child interaction from the learner’s perspective. To do so, we
    used head-mounted eye tracking to record fine-grained
    multimodal behaviors during parent-infant joint play, and
    analyzed parent speech, parent and infant action, and infant
    attention at the moments when parents produced verb labels.
    Our results show great variability across different action verbs,
    in terms of frequency of verb utterances, frequency of
    corresponding actions related to verb meanings, and infants’
    attention to verbs and actions, which provide new insights on
    why some verbs are harder to learn than others.
  • Mai, F., Galke, L., & Scherp, A. (2019). CBOW is not all you need: Combining CBOW with the compositional matrix space model. In Proceedings of the Seventh International Conference on Learning Representations (ICLR 2019). OpenReview.net.

    Abstract

    Continuous Bag of Words (CBOW) is a powerful text embedding method. Due to its strong capabilities to encode word content, CBOW embeddings perform well on a wide range of downstream tasks while being efficient to compute. However, CBOW is not capable of capturing the word order. The reason is that the computation of CBOW's word embeddings is commutative, i.e., embeddings of XYZ and ZYX are the same. In order to address this shortcoming, we propose a
    learning algorithm for the Continuous Matrix Space Model, which we call Continual Multiplication of Words (CMOW). Our algorithm is an adaptation of word2vec, so that it can be trained on large quantities of unlabeled text. We empirically show that CMOW better captures linguistic properties, but it is inferior to CBOW in memorizing word content. Motivated by these findings, we propose a hybrid model that combines the strengths of CBOW and CMOW. Our results show that the hybrid CBOW-CMOW-model retains CBOW's strong ability to memorize word content while at the same time substantially improving its ability to encode other linguistic information by 8%. As a result, the hybrid also performs better on 8 out of 11 supervised downstream tasks with an average improvement of 1.2%.
  • Mamus, E., Rissman, L., Majid, A., & Ozyurek, A. (2019). Effects of blindfolding on verbal and gestural expression of path in auditory motion events. In A. K. Goel, C. M. Seifert, & C. C. Freksa (Eds.), Proceedings of the 41st Annual Meeting of the Cognitive Science Society (CogSci 2019) (pp. 2275-2281). Montreal, QB: Cognitive Science Society.

    Abstract

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

    Abstract

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

    Abstract

    Lombard speech, speech produced in noise, is
    typically produced with a higher fundamental
    frequency (F0, pitch) compared to speech in quiet. This paper examined the potential differences in native and non-native Lombard speech by analyzing median pitch in sentences with early- or late-focus produced in quiet and noise. We found an increase in pitch in late-focus sentences in noise for Dutch speakers in both English and Dutch, and for American-English speakers in English. These results
    show that non-native speakers produce Lombard speech, despite their higher cognitive load. For the early-focus sentences, we found a difference between the Dutch and the American-English speakers. Whereas the Dutch showed an increased F0 in noise
    in English and Dutch, the American-English speakers did not in English. Together, these results suggest that some acoustic characteristics of Lombard speech, such as pitch, may be language-specific, potentially
    resulting in the native language influencing the non-native Lombard speech.
  • Matsuo, A., & Duffield, N. (2002). Assessing the generality of knowledge about English ellipsis in SLA. In J. Costa, & M. J. Freitas (Eds.), Proceedings of the GALA 2001 Conference on Language Acquisition (pp. 49-53). Lisboa: Associacao Portuguesa de Linguistica.
  • Matsuo, A., & Duffield, N. (2002). Finiteness and parallelism: Assessing the generality of knowledge about English ellipsis in SLA. In B. Skarabela, S. Fish, & A.-H.-J. Do (Eds.), Proceedings of the 26th Boston University Conference on Language Development (pp. 197-207). Somerville, Massachusetts: Cascadilla Press.
  • McQueen, J. M., Cutler, A., & Norris, D. (2000). Positive and negative influences of the lexicon on phonemic decision-making. In B. Yuan, T. Huang, & X. Tang (Eds.), Proceedings of the Sixth International Conference on Spoken Language Processing: Vol. 3 (pp. 778-781). Beijing: China Military Friendship Publish.

    Abstract

    Lexical knowledge influences how human listeners make decisions about speech sounds. Positive lexical effects (faster responses to target sounds in words than in nonwords) are robust across several laboratory tasks, while negative effects (slower responses to targets in more word-like nonwords than in less word-like nonwords) have been found in phonetic decision tasks but not phoneme monitoring tasks. The present experiments tested whether negative lexical effects are therefore a task-specific consequence of the forced choice required in phonetic decision. We compared phoneme monitoring and phonetic decision performance using the same Dutch materials in each task. In both experiments there were positive lexical effects, but no negative lexical effects. We observe that in all studies showing negative lexical effects, the materials were made by cross-splicing, which meant that they contained perceptual evidence supporting the lexically-consistent phonemes. Lexical knowledge seems to influence phonemic decision-making only when there is evidence for the lexically-consistent phoneme in the speech signal.
  • McQueen, J. M., Cutler, A., & Norris, D. (2000). Why Merge really is autonomous and parsimonious. In A. Cutler, J. M. McQueen, & R. Zondervan (Eds.), Proceedings of SWAP (Workshop on Spoken Word Access Processes) (pp. 47-50). Nijmegen: Max-Planck-Institute for Psycholinguistics.

    Abstract

    We briefly describe the Merge model of phonemic decision-making, and, in the light of general arguments about the possible role of feedback in spoken-word recognition, defend Merge's feedforward structure. Merge not only accounts adequately for the data, without invoking feedback connections, but does so in a parsimonious manner.
  • Merkx, D., Frank, S., & Ernestus, M. (2019). Language learning using speech to image retrieval. In Proceedings of Interspeech 2019 (pp. 1841-1845). doi:10.21437/Interspeech.2019-3067.

    Abstract

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

    Abstract

    The anterior lordosis of the cervical spine is thought
    to contribute to pitch (fo) production by influencing
    cricoid rotation as a function of larynx height. This
    study examines the matter of inter-individual
    variation in cervical spine shape and whether this has
    an influence on how fo is produced along increasing
    or decreasing scales, using the ArtiVarK dataset,
    which contains real-time MRI pitch production data.
    We find that the cervical spine actively participates in
    fo production, but the amount of displacement
    depends on individual shape. In general, anterior
    spine motion (tending toward cervical lordosis)
    occurs for low fo, while posterior movement (tending
    towards cervical kyphosis) occurs for high fo.
  • Nijveld, A., Ten Bosch, L., & Ernestus, M. (2019). ERP signal analysis with temporal resolution using a time window bank. In Proceedings of Interspeech 2019 (pp. 1208-1212). doi:10.21437/Interspeech.2019-2729.

    Abstract

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

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

    This approach is based on a bank of temporal filters arranged along the time axis in combination with linear mixed effects modelling. Crucially, it permits a temporal decomposition of effects in a single comprehensive statistical model which captures the entire EEG trace.
  • Norris, D., Cutler, A., McQueen, J. M., Butterfield, S., & Kearns, R. K. (2000). Language-universal constraints on the segmentation of English. In A. Cutler, J. M. McQueen, & R. Zondervan (Eds.), Proceedings of SWAP (Workshop on Spoken Word Access Processes) (pp. 43-46). Nijmegen: Max-Planck-Institute for Psycholinguistics.

    Abstract

    Two word-spotting experiments are reported that examine whether the Possible-Word Constraint (PWC) [1] is a language-specific or language-universal strategy for the segmentation of continuous speech. The PWC disfavours parses which leave an impossible residue between the end of a candidate word and a known boundary. The experiments examined cases where the residue was either a CV syllable with a lax vowel, or a CVC syllable with a schwa. Although neither syllable context is a possible word in English, word-spotting in both contexts was easier than with a context consisting of a single consonant. The PWC appears to be language-universal rather than language-specific.
  • Norris, D., Cutler, A., & McQueen, J. M. (2000). The optimal architecture for simulating spoken-word recognition. In C. Davis, T. Van Gelder, & R. Wales (Eds.), Cognitive Science in Australia, 2000: Proceedings of the Fifth Biennial Conference of the Australasian Cognitive Science Society. Adelaide: Causal Productions.

    Abstract

    Simulations explored the inability of the TRACE model of spoken-word recognition to model the effects on human listening of subcategorical mismatch in word forms. The source of TRACE's failure lay not in interactive connectivity, not in the presence of inter-word 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, which has inter-word competition, phonemic representations and continuous optimisation (but no interactive connectivity).
  • Oostdijk, N., Goedertier, W., Van Eynde, F., Boves, L., Martens, J.-P., Moortgat, M., & Baayen, R. H. (2002). Experiences from the Spoken Dutch Corpus Project. In Third international conference on language resources and evaluation (pp. 340-347). Paris: European Language Resources Association.
  • Otake, T., & Cutler, A. (2000). A set of Japanese word cohorts rated for relative familiarity. In B. Yuan, T. Huang, & X. Tang (Eds.), Proceedings of the Sixth International Conference on Spoken Language Processing: Vol. 3 (pp. 766-769). Beijing: China Military Friendship Publish.

    Abstract

    A database is presented of relative familiarity ratings for 24 sets of Japanese words, each set comprising words overlapping in the initial portions. These ratings are useful for the generation of material sets for research in the recognition of spoken words.
  • Ozyurek, A., & Ozcaliskan, S. (2000). How do children learn to conflate manner and path in their speech and gestures? Differences in English and Turkish. In E. V. Clark (Ed.), The proceedings of the Thirtieth Child Language Research Forum (pp. 77-85). Stanford: CSLI Publications.
  • Ozyurek, A. (2002). Speech-gesture relationship across languages and in second language learners: Implications for spatial thinking and speaking. In B. Skarabela, S. Fish, & A. H. Do (Eds.), Proceedings of the 26th annual Boston University Conference on Language Development (pp. 500-509). Somerville, MA: Cascadilla Press.
  • Parhammer*, S. I., Ebersberg*, M., Tippmann*, J., Stärk*, K., Opitz, A., Hinger, B., & Rossi, S. (2019). The influence of distraction on speech processing: How selective is selective attention? In Proceedings of Interspeech 2019 (pp. 3093-3097). doi:10.21437/Interspeech.2019-2699.

    Abstract

    -* indicates shared first authorship -
    The present study investigated the effects of selective attention on the processing of morphosyntactic errors in unattended parts of speech. Two groups of German native (L1) speakers participated in the present study. Participants listened to sentences in which irregular verbs were manipulated in three different conditions (correct, incorrect but attested ablaut pattern, incorrect and crosslinguistically unattested ablaut pattern). In order to track fast dynamic neural reactions to the stimuli, electroencephalography was used. After each sentence, participants in Experiment 1 performed a semantic judgement task, which deliberately distracted the participants from the syntactic manipulations and directed their attention to the semantic content of the sentence. In Experiment 2, participants carried out a syntactic judgement task, which put their attention on the critical stimuli. The use of two different attentional tasks allowed for investigating the impact of selective attention on speech processing and whether morphosyntactic processing steps are performed automatically. In Experiment 2, the incorrect attested condition elicited a larger N400 component compared to the correct condition, whereas in Experiment 1 no differences between conditions were found. These results suggest that the processing of morphosyntactic violations in irregular verbs is not entirely automatic but seems to be strongly affected by selective attention.
  • Petersson, K. M. (2002). Brain physiology. In R. Behn, & C. Veranda (Eds.), Proceedings of The 4th Southern European School of the European Physical Society - Physics in Medicine (pp. 37-38). Montreux: ESF.
  • Pouw, W., Paxton, A., Harrison, S. J., & Dixon, J. A. (2019). Acoustic specification of upper limb movement in voicing. In A. Grimminger (Ed.), Proceedings of the 6th Gesture and Speech in Interaction – GESPIN 6 (pp. 68-74). Paderborn: Universitaetsbibliothek Paderborn. doi:10.17619/UNIPB/1-812.
  • Pouw, W., & Dixon, J. A. (2019). Quantifying gesture-speech synchrony. In A. Grimminger (Ed.), Proceedings of the 6th Gesture and Speech in Interaction – GESPIN 6 (pp. 75-80). Paderborn: Universitaetsbibliothek Paderborn. doi:10.17619/UNIPB/1-812.

    Abstract

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

    Additional information

    https://osf.io/9843h/
  • Rissman, L., & Majid, A. (2019). Agency drives category structure in instrumental events. In A. K. Goel, C. M. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Meeting of the Cognitive Science Society (CogSci 2019) (pp. 2661-2667). Montreal, QB: Cognitive Science Society.

    Abstract

    Thematic roles such as Agent and Instrument have a long-standing place in theories of event representation. Nonetheless, the structure of these categories has been difficult to determine. We investigated how instrumental events, such as someone slicing bread with a knife, are categorized in English. Speakers described a variety of typical and atypical instrumental events, and we determined the similarity structure of their descriptions using correspondence analysis. We found that events where the instrument is an extension of an intentional agent were most likely to elicit similar language, highlighting the importance of agency in structuring instrumental categories.
  • Scharenborg, O., Bouwman, G., & Boves, L. (2000). Connected digit recognition with class specific word models. In Proceedings of the COST249 Workshop on Voice Operated Telecom Services workshop (pp. 71-74).

    Abstract

    This work focuses on efficient use of the training material by selecting the optimal set of model topologies. We do this by training multiple word models of each word class, based on a subclassification according to a priori knowledge of the training material. We will examine classification criteria with respect to duration of the word, gender of the speaker, position of the word in the utterance, pauses in the vicinity of the word, and combinations of these. Comparative experiments were carried out on a corpus consisting of Dutch spoken connected digit strings and isolated digits, which are recorded in a wide variety of acoustic conditions. The results show, that classification based on gender of the speaker, position of the digit in the string, pauses in the vicinity of the training tokens, and models based on a combination of these criteria perform significantly better than the set with single models per digit.
  • Scharenborg, O., Boves, L., & de Veth, J. (2002). ASR in a human word recognition model: Generating phonemic input for Shortlist. In J. H. L. Hansen, & B. Pellom (Eds.), ICSLP 2002 - INTERSPEECH 2002 - 7th International Conference on Spoken Language Processing (pp. 633-636). ISCA Archive.

    Abstract

    The current version of the psycholinguistic model of human word recognition Shortlist suffers from two unrealistic constraints. First, the input of Shortlist must consist of a single string of phoneme symbols. Second, the current version of the search in Shortlist makes it difficult to deal with insertions and deletions in the input phoneme string. This research attempts to fully automatically derive a phoneme string from the acoustic signal that is as close as possible to the number of phonemes in the lexical representation of the word. We optimised an Automatic Phone Recogniser (APR) using two approaches, viz. varying the value of the mismatch parameter and optimising the APR output strings on the output of Shortlist. The approaches show that it will be very difficult to satisfy the input requirements of the present version of Shortlist with a phoneme string generated by an APR.
  • Scharenborg, O., & Boves, L. (2002). Pronunciation variation modelling in a model of human word recognition. In Pronunciation Modeling and Lexicon Adaptation for Spoken Language Technology [PMLA-2002] (pp. 65-70).

    Abstract

    Due to pronunciation variation, many insertions and deletions of phones occur in spontaneous speech. The psycholinguistic model of human speech recognition Shortlist is not well able to deal with phone insertions and deletions and is therefore not well suited for dealing with real-life input. The research presented in this paper explains how Shortlist can benefit from pronunciation variation modelling in dealing with real-life input. Pronunciation variation was modelled by including variants into the lexicon of Shortlist. A series of experiments was carried out to find the optimal acoustic model set for transcribing the training material that was used as basis for the generation of the variants. The Shortlist experiments clearly showed that Shortlist benefits from pronunciation variation modelling. However, the performance of Shortlist stays far behind the performance of other, more conventional speech recognisers.
  • Schiller, N. O., Schmitt, B., Peters, J., & Levelt, W. J. M. (2002). 'BAnana'or 'baNAna'? Metrical encoding during speech production [Abstract]. In M. Baumann, A. Keinath, & J. Krems (Eds.), Experimentelle Psychologie: Abstracts der 44. Tagung experimentell arbeitender Psychologen. (pp. 195). TU Chemnitz, Philosophische Fakultät.

    Abstract

    The time course of metrical encoding, i.e. stress, during speech production is investigated. In a first experiment, participants were presented with pictures whose bisyllabic Dutch names had initial or final stress (KAno 'canoe' vs. kaNON 'cannon'; capital letters indicate stressed syllables). Picture names were matched for frequency and object recognition latencies. When participants were asked to judge whether picture names had stress on the first or second syllable, they showed significantly faster decision times for initially stressed targets than for targets with final stress. Experiment 2 replicated this effect with trisyllabic picture names (faster RTs for penultimate stress than for ultimate stress). In our view, these results reflect the incremental phonological encoding process. Wheeldon and Levelt (1995) found that segmental encoding is a process running from the beginning to the end of words. Here, we present evidence that the metrical pattern of words, i.e. stress, is also encoded incrementally.
  • Schmiedtová, V., & Schmiedtová, B. (2002). The color spectrum in language: The case of Czech: Cognitive concepts, new idioms and lexical meanings. In H. Gottlieb, J. Mogensen, & A. Zettersten (Eds.), Proceedings of The 10th International Symposium on Lexicography (pp. 285-292). Tübingen: Max Niemeyer Verlag.

    Abstract

    The representative corpus SYN2000 in the Czech National Corpus (CNK) project containing 100 million word forms taken from different types of texts. I have tried to determine the extent and depth of the linguistic material in the corpus. First, I chose the adjectives indicating the basic colors of the spectrum and other parts of speech (names and adverbs) derived from these adjectives. An analysis of three examples - black, white and red - shows the extent of the linguistic wealth and diversity we are looking at: because of size limitations, no existing dictionary is capable of embracing all analyzed nuances. Currently, we can only hope that the next dictionary of contemporary Czech, built on the basis of the Czech National Corpus, will be electronic. Without the size limitations, we would be able us to include many of the fine nuances of language
  • Schoenmakers, G.-J., & De Swart, P. (2019). Adverbial hurdles in Dutch scrambling. In A. Gattnar, R. Hörnig, M. Störzer, & S. Featherston (Eds.), Proceedings of Linguistic Evidence 2018: Experimental Data Drives Linguistic Theory (pp. 124-145). Tübingen: University of Tübingen.

    Abstract

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

    Abstract

    We tested whether statistical averageness (SA) at the level of the individual speaker could predict a speaker’s intelligibility. 28 female and 21 male speakers of Dutch were recorded producing 336 sentences,
    each containing two target nouns. Recordings were compared to those of all other same-sex speakers using dynamic time warping (DTW). For each sentence, the DTW distance constituted a metric
    of phonetic distance from one speaker to all other speakers. SA comprised the average of these distances. Later, the same participants performed a word recognition task on the target nouns in the same sentences, under three degraded listening conditions. In all three conditions, accuracy increased with SA. This held even when participants listened to their own utterances. These findings suggest that listeners process speech with respect to the statistical
    properties of the language spoken in their community, rather than using their own speech as a reference
  • Seidlmayer, E., Galke, L., Melnychuk, T., Schultz, C., Tochtermann, K., & Förstner, K. U. (2019). Take it personally - A Python library for data enrichment for infometrical applications. In M. Alam, R. Usbeck, T. Pellegrini, H. Sack, & Y. Sure-Vetter (Eds.), Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems co-located with 15th International Conference on Semantic Systems (SEMANTiCS 2019).

    Abstract

    Like every other social sphere, science is influenced by individual characteristics of researchers. However, for investigations on scientific networks, only little data about the social background of researchers, e.g. social origin, gender, affiliation etc., is available.
    This paper introduces ”Take it personally - TIP”, a conceptual model and library currently under development, which aims to support the
    semantic enrichment of publication databases with semantically related background information which resides elsewhere in the (semantic) web, such as Wikidata.
    The supplementary information enriches the original information in the publication databases and thus facilitates the creation of complex scientific knowledge graphs. Such enrichment helps to improve the scientometric analysis of scientific publications as they can also take social backgrounds of researchers into account and to understand social structure in research communities.
  • Seijdel, N., Sakmakidis, N., De Haan, E. H. F., Bohte, S. M., & Scholte, H. S. (2019). Implicit scene segmentation in deeper convolutional neural networks. In Proceedings of the 2019 Conference on Cognitive Computational Neuroscience (pp. 1059-1062). doi:10.32470/CCN.2019.1149-0.

    Abstract

    Feedforward deep convolutional neural networks (DCNNs) are matching and even surpassing human performance on object recognition. This performance suggests that activation of a loose collection of image
    features could support the recognition of natural object categories, without dedicated systems to solve specific visual subtasks. Recent findings in humans however, suggest that while feedforward activity may suffice for
    sparse scenes with isolated objects, additional visual operations ('routines') that aid the recognition process (e.g. segmentation or grouping) are needed for more complex scenes. Linking human visual processing to
    performance of DCNNs with increasing depth, we here explored if, how, and when object information is differentiated from the backgrounds they appear on. To this end, we controlled the information in both objects
    and backgrounds, as well as the relationship between them by adding noise, manipulating background congruence and systematically occluding parts of the image. Results indicated less distinction between object- and background features for more shallow networks. For those networks, we observed a benefit of training on segmented objects (as compared to unsegmented objects). Overall, deeper networks trained on natural
    (unsegmented) scenes seem to perform implicit 'segmentation' of the objects from their background, possibly by improved selection of relevant features.
  • Senft, G. (2002). What should the ideal online-archive documenting linguistic data of various (endangered) languages and cultures offer to interested parties? Some ideas of a technically naive linguistic field researcher and potential user. In P. Austin, H. Dry, & P. Wittenburg (Eds.), Proceedings of the international LREC workshop on resources and tools in field linguistics (pp. 11-15). Paris: European Language Resources Association.
  • Senft, G. (1991). Bakavilisi Biga - we can 'turn' the language - or: What happens to English words in Kilivila language? In W. Bahner, J. Schildt, & D. Viehwegger (Eds.), Proceedings of the XIVth International Congress of Linguists (pp. 1743-1746). Berlin: Akademie Verlag.
  • Senft, G. (2000). COME and GO in Kilivila. In B. Palmer, & P. Geraghty (Eds.), SICOL. Proceedings of the second international conference on Oceanic linguistics: Volume 2, Historical and descriptive studies (pp. 105-136). Canberra: Pacific Linguistics.

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