Publications

Displaying 101 - 122 of 122
  • Seuren, P. A. M. (1975). Logic and language. In S. De Vriendt, J. Dierickx, & M. Wilmet (Eds.), Grammaire générative et psychomécanique du langage: actes du colloque organisé par le Centre d'études linguistiques et littéraires de la Vrije Universiteit Brussel, Bruxelles, 29-31 mai 1974 (pp. 84-87). Paris: Didier.
  • Seuren, P. A. M. (1994). The computational lexicon: All lexical content is predicate. In Z. Yusoff (Ed.), Proceedings of the International Conference on Linguistic Applications 26-28 July 1994 (pp. 211-216). Penang: Universiti Sains Malaysia, Unit Terjemahan Melalui Komputer (UTMK).
  • Seuren, P. A. M. (1994). Translation relations in semantic syntax. In G. Bouma, & G. Van Noord (Eds.), CLIN IV: Papers from the Fourth CLIN Meeting (pp. 149-162). Groningen: Vakgroep Alfa-informatica, Rijksuniversiteit Groningen.
  • Slonimska, A., & Roberts, S. G. (2017). A case for systematic sound symbolism in pragmatics:The role of the first phoneme in question prediction in context. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. Davelaar (Eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society (CogSci 2017) (pp. 1090-1095). Austin, TX: Cognitive Science Society.

    Abstract

    Turn-taking in conversation is a cognitively demanding process that proceeds rapidly due to interlocutors utilizing a range of cues
    to aid prediction. In the present study we set out to test recent claims that content question words (also called wh-words) sound similar within languages as an adaptation to help listeners predict
    that a question is about to be asked. We test whether upcoming questions can be predicted based on the first phoneme of a turn and the prior context. We analyze the Switchboard corpus of English
    by means of a decision tree to test whether /w/ and /h/ are good statistical cues of upcoming questions in conversation. Based on the results, we perform a controlled experiment to test whether
    people really use these cues to recognize questions. In both studies
    we show that both the initial phoneme and the sequential context help predict questions. This contributes converging evidence that elements of languages adapt to pragmatic pressures applied during
    conversation.
  • Stanojevic, M., & Alhama, R. G. (2017). Neural discontinuous constituency parsing. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (pp. 1666-1676). Association for Computational Linguistics.

    Abstract

    One of the most pressing issues in dis-
    continuous constituency transition-based
    parsing is that the relevant information for
    parsing decisions could be located in any
    part of the stack or the buffer. In this pa-
    per, we propose a solution to this prob-
    lem by replacing the structured percep-
    tron model with a recursive neural model
    that computes a global representation of
    the configuration, therefore allowing even
    the most remote parts of the configura-
    tion to influence the parsing decisions. We
    also provide a detailed analysis of how
    this representation should be built out of
    sub-representations of its core elements
    (words, trees and stack). Additionally, we
    investigate how different types of swap or-
    acles influence the results. Our model is
    the first neural discontinuous constituency
    parser, and it outperforms all the previ-
    ously published models on three out of
    four datasets while on the fourth it obtains
    second place by a tiny difference.

    Additional information

    http://aclweb.org/anthology/D17-1174
  • Sumer, B., Grabitz, C., & Küntay, A. (2017). Early produced signs are iconic: Evidence from Turkish Sign Language. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. Davelaar (Eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society (CogSci 2017) (pp. 3273-3278). Austin, TX: Cognitive Science Society.

    Abstract

    Motivated form-meaning mappings are pervasive in sign languages, and iconicity has recently been shown to facilitate sign learning from early on. This study investigated the role of iconicity for language acquisition in Turkish Sign Language (TID). Participants were 43 signing children (aged 10 to 45 months) of deaf parents. Sign production ability was recorded using the adapted version of MacArthur Bates Communicative Developmental Inventory (CDI) consisting of 500 items for TID. Iconicity and familiarity ratings for a subset of 104 signs were available. Our results revealed that the iconicity of a sign was positively correlated with the percentage of children producing a sign and that iconicity significantly predicted the percentage of children producing a sign, independent of familiarity or phonological complexity. Our results are consistent with previous findings on sign language acquisition and provide further support for the facilitating effect of iconic form-meaning mappings in sign learning.
  • Ten Bosch, L., Boves, L., & Ernestus, M. (2017). The recognition of compounds: A computational account. In Proceedings of Interspeech 2017 (pp. 1158-1162). doi:10.21437/Interspeech.2017-1048.

    Abstract

    This paper investigates the processes in comprehending spoken noun-noun compounds, using data from the BALDEY database. BALDEY contains lexicality judgments and reaction times (RTs) for Dutch stimuli for which also linguistic information is included. Two different approaches are combined. The first is based on regression by Dynamic Survival Analysis, which models decisions and RTs as a consequence of the fact that a cumulative density function exceeds some threshold. The parameters of that function are estimated from the observed RT data. The second approach is based on DIANA, a process-oriented computational model of human word comprehension, which simulates the comprehension process with the acoustic stimulus as input. DIANA gives the identity and the number of the word candidates that are activated at each 10 ms time step.

    Both approaches show how the processes involved in comprehending compounds change during a stimulus. Survival Analysis shows that the impact of word duration varies during the course of a stimulus. The density of word and non-word hypotheses in DIANA shows a corresponding pattern with different regimes. We show how the approaches complement each other, and discuss additional ways in which data and process models can be combined.
  • Tsoukala, C., Frank, S. L., & Broersma, M. (2017). “He's pregnant": Simulating the confusing case of gender pronoun errors in L2 English. In Proceedings of the 39th Annual Meeting of the Cognitive Science Society (CogSci 2017) (pp. 3392-3397). Austin, TX, USA: Cognitive Science Society.

    Abstract

    Even advanced Spanish speakers of second language English tend to confuse the pronouns ‘he’ and ‘she’, often without even noticing their mistake (Lahoz, 1991). A study by AntónMéndez (2010) has indicated that a possible reason for this error is the fact that Spanish is a pro-drop language. In order to test this hypothesis, we used an extension of Dual-path (Chang, 2002), a computational cognitive model of sentence production, to simulate two models of bilingual speech production of second language English. One model had Spanish (ES) as a native language, whereas the other learned a Spanish-like language that used the pronoun at all times (non-pro-drop Spanish, NPD_ES). When tested on L2 English sentences, the bilingual pro-drop Spanish model produced significantly more gender pronoun errors, confirming that pronoun dropping could indeed be responsible for the gender confusion in natural language use as well.
  • Van Dooren, A., Dieuleveut, A., Cournane, A., & Hacquard, V. (2017). Learning what must and can must and can mean. In A. Cremers, T. Van Gessel, & F. Roelofsen (Eds.), Proceedings of the 21st Amsterdam Colloquium (pp. 225-234). Amsterdam: ILLC.

    Abstract

    This corpus study investigates how children figure out that functional modals
    like must can express various flavors of modality. We examine how modality is
    expressed in speech to and by children, and find that the way speakers use
    modals may obscure their polysemy. Yet, children eventually figure it out. Our
    results suggest that some do before age 3. We show that while root and
    epistemic flavors are not equally well-represented in the input, there are robust
    correlations between flavor and aspect, which learners could exploit to discover
    modal polysemy.
  • Van Dooren, A. (2017). Dutch must more structure. In A. Lamont, & K. Tetzloff (Eds.), NELS 47: Proceedings of the Forty-Seventh Annual Meeting of the North East Linguistic Society (pp. 165-175). Amherst: GLSA.
  • Van de Weijer, J. (1997). Language input to a prelingual infant. In A. Sorace, C. Heycock, & R. Shillcock (Eds.), Proceedings of the GALA '97 conference on language acquisition (pp. 290-293). Edinburgh University Press.

    Abstract

    Pitch, intonation, and speech rate were analyzed in a collection of everyday speech heard by one Dutch infant between the ages of six and nine months. Components of each of these variables were measured in the speech of three adult speakers (mother, father, baby-sitter) when they addressed the infant, and when they addressed another adult. The results are in line with previously reported findings which are usually based on laboratory or prearranged settings: infant-directed speech in a natural setting exhibits more pitch variation, a larger number of simple intonation contours, and slower speech rate than does adult-directed speech.
  • Van Heuven, V. J., Haan, J., Janse, E., & Van der Torre, E. J. (1997). Perceptual identification of sentence type and the time-distribution of prosodic interrogativity markers in Dutch. In Proceedings of the ESCA Tutorial and Research Workshop on Intonation: Theory, Models and Applications, Athens, Greece, 1997 (pp. 317-320).

    Abstract

    Dutch distinguishes at least four sentence types: statements and questions, the latter type being subdivided into wh-questions (beginning with a question word), yes/no-questions (with inversion of subject and finite), and declarative questions (lexico-syntactically identical to statement). Acoustically, each of these (sub)types was found to have clearly distinct global F0-patterns, as well as a characteristic distribution of final rises [1,2]. The present paper explores the separate contribution of parameters of global downtrend and size of accent-lending pitch movements versus aspects of the terminal rise to the human identification of the four sentence (sub)types, at various positions in the time-course of the utterance. The results show that interrogativity in Dutch can be identified at an early point in the utterance. However, wh-questions are not distinct from statements.
  • Warner, N., & Weber, A. (2002). Stop epenthesis at syllable boundaries. In J. H. L. Hansen, & B. Pellom (Eds.), 7th International Conference on Spoken Language Processing (ICSLP2002 - INTERSPEECH 2002) (pp. 1121-1124). ISCA Archive.

    Abstract

    This paper investigates the production and perception of epenthetic stops at syllable boundaries in Dutch and compares the experimental data with lexical statistics for Dutch and English. This extends past work on epenthesis in coda position [1]. The current work is particularly informative regarding the question of phonotactic constraints’ influence on parsing of speech variability.
  • Warner, N., Jongman, A., & Mücke, D. (2002). Variability in direction of dorsal movement during production of /l/. In J. H. L. Hansen, & B. Pellom (Eds.), 7th International Conference on Spoken Language Processing (ICSLP2002 - INTERSPEECH 2002) (pp. 1089-1092). ISCA Archive.

    Abstract

    This paper presents articulatory data on the production of /l/ in various environments in Dutch, and shows that the direction of movement of the tongue dorsum varies across environments. This makes it impossible to measure tongue position at the peak of the dorsal gesture. We argue for an alternative method in such cases: measurement of position of one articulator at a time point defined by the gesture of another. We present new data measured this way which confirms a previous finding on the articulation of Dutch /l/.
  • Wittenburg, P., Kita, S., & Brugman, H. (2002). Crosslinguistic studies of multimodal communication.
  • Wittenburg, P., Peters, W., & Drude, S. (2002). Analysis of lexical structures from field linguistics and language engineering. In M. R. González, & C. P. S. Araujo (Eds.), Third international conference on language resources and evaluation (pp. 682-686). Paris: European Language Resources Association.

    Abstract

    Lexica play an important role in every linguistic discipline. We are confronted with many types of lexica. Depending on the type of lexicon and the language we are currently faced with a large variety of structures from very simple tables to complex graphs, as was indicated by a recent overview of structures found in dictionaries from field linguistics and language engineering. It is important to assess these differences and aim at the integration of lexical resources in order to improve lexicon creation, exchange and reuse. This paper describes the first step towards the integration of existing structures and standards into a flexible abstract model.
  • Wittenburg, P., & Broeder, D. (2002). Metadata overview and the semantic web. In P. Austin, H. Dry, & P. Wittenburg (Eds.), Proceedings of the international LREC workshop on resources and tools in field linguistics. Paris: European Language Resources Association.

    Abstract

    The increasing quantity and complexity of language resources leads to new management problems for those that collect and those that need to preserve them. At the same time the desire to make these resources available on the Internet demands an efficient way characterizing their properties to allow discovery and re-use. The use of metadata is seen as a solution for both these problems. However, the question is what specific requirements there are for the specific domain and if these are met by existing frameworks. Any possible solution should be evaluated with respect to its merit for solving the domain specific problems but also with respect to its future embedding in “global” metadata frameworks as part of the Semantic Web activities.
  • Wittenburg, P., Peters, W., & Broeder, D. (2002). Metadata proposals for corpora and lexica. In M. Rodriguez González, & C. Paz Suárez Araujo (Eds.), Third international conference on language resources and evaluation (pp. 1321-1326). Paris: European Language Resources Association.
  • Wittenburg, P., Mosel, U., & Dwyer, A. (2002). Methods of language documentation in the DOBES program. In P. Austin, H. Dry, & P. Wittenburg (Eds.), Proceedings of the international LREC workshop on resources and tools in field linguistics (pp. 36-42). Paris: European Language Resources Association.
  • Zhang, Y., & Yu, C. (2017). How misleading cues influence referential uncertainty in statistical cross-situational learning. In M. LaMendola, & J. Scott (Eds.), Proceedings of the 41st Annual Boston University Conference on Language Development (BUCLD 41) (pp. 820-833). Boston, MA: Cascadilla Press.
  • De Zubicaray, G., & Fisher, S. E. (Eds.). (2017). Genes, brain and language [Special Issue]. Brain and Language, 172.
  • Zwitserlood, I. (2002). The complex structure of ‘simple’ signs in NGT. In J. Van Koppen, E. Thrift, E. Van der Torre, & M. Zimmermann (Eds.), Proceedings of ConSole IX (pp. 232-246).

    Abstract

    In this paper, I argue that components in a set of simple signs in Nederlandse Gebarentaal (also called Sign Language of the Netherlands; henceforth: NGT), i.e. hand configuration (including orientation), movement and place of articulation, can also have morphological status. Evidence for this is provided by: firstly, the fact that handshape, orientation, movement and place of articulation show regular meaningful patterns in signs, which patterns also occur in newly formed signs, and secondly, the gradual change of formerly noninflecting predicates into inflectional predicates. The morphological complexity of signs can best be accounted for in autosegmental morphological templates.

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