Publications

Displaying 101 - 115 of 115
  • Senft, G. (1997). Magic, missionaries, and religion - Some observations from the Trobriand Islands. In T. Otto, & A. Borsboom (Eds.), Cultural dynamics of religious change in Oceania (pp. 45-58). Leiden: KITLV press.
  • Senft, G. (1997). Introduction. In G. Senft (Ed.), Referring to space - Studies in Austronesian and Papuan languages (pp. 1-38). Oxford: Clarendon Press.
  • Seuren, P. A. M. (2005). The origin of grammatical terminology. In B. Smelik, R. Hofman, C. Hamans, & D. Cram (Eds.), A companion in linguistics: A Festschrift for Anders Ahlqvist on the occasion of his sixtieth birthday (pp. 185-196). Nijmegen: Stichting Uitgeverij de Keltische Draak.
  • Seuren, P. A. M. (2005). The role of lexical data in semantics. In A. Cruse, F. Hundsnurscher, M. Job, & P. R. Lutzeier (Eds.), Lexikologie / Lexicology. Ein internationales Handbuch zur Natur und Struktur von Wörtern und Wortschätzen/An international handbook on the nature and structure of words and vocabularies. 2. Halbband / Volume 2 (pp. 1690-1696). Berlin: Walter de Gruyter.
  • Sidnell, J., & Stivers, T. (Eds.). (2005). Multimodal Interaction [Special Issue]. Semiotica, 156.
  • Sprenger, S. A., & Van Rijn, H. (2005). Clock time naming: Complexities of a simple task. In B. G. Bara, L. Barsalou, & M. Bucciarelli (Eds.), Proceedings of the 27th Annual Meeting of the Cognitive Science Society (pp. 2062-2067).
  • ten Bosch, L., & Scharenborg, O. (2005). ASR decoding in a computational model of human word recognition. In Interspeech'2005 - Eurospeech, 9th European Conference on Speech Communication and Technology (pp. 1241-1244). ISCA Archive.

    Abstract

    This paper investigates the interaction between acoustic scores and symbolic mismatch penalties in multi-pass speech decoding techniques that are based on the creation of a segment graph followed by a lexical search. The interaction between acoustic and symbolic mismatches determines to a large extent the structure of the search space of these multipass approaches. The background of this study is a recently developed computational model of human word recognition, called SpeM. SpeM is able to simulate human word recognition data and is built as a multi-pass speech decoder. Here, we focus on unravelling the structure of the search space that is used in SpeM and similar decoding strategies. Finally, we elaborate on the close relation between distances in this search space, and distance measures in search spaces that are based on a combination of acoustic and phonetic features.
  • Trabasso, T., & Ozyurek, A. (1997). Communicating evaluation in narrative understanding. In T. Givon (Ed.), Conversation: Cognitive, communicative and social perspectives (pp. 268-302). Philadelphia, PA: Benjamins.
  • Trilsbeek, P., & Wittenburg, P. (2005). Archiving challenges. In J. Gippert, N. Himmelmann, & U. Mosel (Eds.), Essentials of language documentation (pp. 311-335). Berlin: Mouton de Gruyter.
  • 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.
  • Zeshan, U. (2005). Sign languages. In M. Haspelmath, M. S. Dryer, D. Gil, & B. Comrie (Eds.), The world atlas of language structures (pp. 558-559). Oxford: Oxford University Press.
  • Zeshan, U. (2005). Question particles in sign languages. In M. Haspelmath, M. S. Dryer, D. Gil, & B. Comrie (Eds.), The world atlas of language structures (pp. 564-567). Oxford: Oxford University Press.
  • Zeshan, U., Pfau, R., & Aboh, E. (2005). When a wh-word is not a wh-word: the case of Indian sign language. In B. Tanmoy (Ed.), Yearbook of South Asian languages and linguistics 2005 (pp. 11-43). Berlin: Mouton de Gruyter.
  • Zeshan, U. (2005). Irregular negatives in sign languages. In M. Haspelmath, M. S. Dryer, D. Gil, & B. Comrie (Eds.), The world atlas of language structures (pp. 560-563). Oxford: Oxford University Press.

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