Publications

Displaying 101 - 112 of 112
  • Skiba, R. (1988). Computerunterstützte Analyse von sprachlichen Daten mit Hilfe des Datenumwandlungsprogramms TextWolf in Kombination mit einem Datenbanksystem. In B. Spillner (Ed.), Angewandte Linguistik und Computer (pp. 86-88). Tübingen: Gunter Narr.
  • Skiba, R. (1991). Eine Datenbank für Deutsch als Zweitsprache Materialien: Zum Einsatz von PC-Software bei Planung von Zweitsprachenunterricht. In H. Barkowski, & G. Hoff (Eds.), Berlin interkulturell: Ergebnisse einer Berliner Konferenz zu Migration und Pädagogik. (pp. 131-140). Berlin: Colloquium.
  • De Smedt, K., & Kempen, G. (1991). Segment Grammar: A formalism for incremental sentence generation. In C. Paris, W. Swartout, & W. Mann (Eds.), Natural language generation and computational linguistics (pp. 329-349). Dordrecht: Kluwer Academic Publishers.

    Abstract

    Incremental sentence generation imposes special constraints on the representation of the grammar and the design of the formulator (the module which is responsible for constructing the syntactic and morphological structure). In the model of natural speech production presented here, a formalism called Segment Grammar is used for the representation of linguistic knowledge. We give a definition of this formalism and present a formulator design which relies on it. Next, we present an object- oriented implementation of Segment Grammar. Finally, we compare Segment Grammar with other formalisms.
  • Van Ooijen, B., Cutler, A., & Norris, D. (1991). Detection times for vowels versus consonants. In Eurospeech 91: Vol. 3 (pp. 1451-1454). Genova: Istituto Internazionale delle Comunicazioni.

    Abstract

    This paper reports two experiments with vowels and consonants as phoneme detection targets in real words. In the first experiment, two relatively distinct vowels were compared with two confusible stop consonants. Response times to the vowels were longer than to the consonants. Response times correlated negatively with target phoneme length. In the second, two relatively distinct vowels were compared with their corresponding semivowels. This time, the vowels were detected faster than the semivowels. We conclude that response time differences between vowels and stop consonants in this task may reflect differences between phoneme categories in the variability of tokens, both in the acoustic realisation of targets and in the' representation of targets by subjects.
  • Van Valin Jr., R. D. (2000). Focus structure or abstract syntax? A role and reference grammar account of some ‘abstract’ syntactic phenomena. In Z. Estrada Fernández, & I. Barreras Aguilar (Eds.), Memorias del V Encuentro Internacional de Lingüística en el Noroeste: (2 v.) Estudios morfosintácticos (pp. 39-62). Hermosillo: Editorial Unison.
  • Vosse, T., & Kempen, G. (1991). A hybrid model of human sentence processing: Parsing right-branching, center-embedded and cross-serial dependencies. In M. Tomita (Ed.), Proceedings of the Second International Workshop on Parsing Technologies.
  • Weber, A. (2000). Phonotactic and acoustic cues for word segmentation in English. In Proceedings of the 6th International Conference on Spoken Language Processing (ICSLP 2000) (pp. 782-785).

    Abstract

    This study investigates the influence of both phonotactic and acoustic cues on the segmentation of spoken English. Listeners detected embedded English words in nonsense sequences (word spotting). Words aligned with phonotactic boundaries were easier to detect than words without such alignment. Acoustic cues to boundaries could also have signaled word boundaries, especially when word onsets lacked phonotactic alignment. However, only one of several durational boundary cues showed a marginally significant correlation with response times (RTs). The results suggest that word segmentation in English is influenced primarily by phonotactic constraints and only secondarily by acoustic aspects of the speech signal.
  • Weber, A. (2000). The role of phonotactics in the segmentation of native and non-native continuous speech. In A. Cutler, J. M. McQueen, & R. Zondervan (Eds.), Proceedings of SWAP, Workshop on Spoken Word Access Processes. Nijmegen: MPI for Psycholinguistics.

    Abstract

    Previous research has shown that listeners make use of their knowledge of phonotactic constraints to segment speech into individual words. The present study investigates the influence of phonotactics when segmenting a non-native language. German and English listeners detected embedded English words in nonsense sequences. German listeners also had knowledge of English, but English listeners had no knowledge of German. Word onsets were either aligned with a syllable boundary or not, according to the phonotactics of the two languages. Words aligned with either German or English phonotactic boundaries were easier for German listeners to detect than words without such alignment. Responses of English listeners were influenced primarily by English phonotactic alignment. The results suggest that both native and non-native phonotactic constraints influence lexical segmentation of a non-native, but familiar, language.
  • Weissenborn, J., & Stralka, R. (1984). Das Verstehen von Mißverständnissen. Eine ontogenetische Studie. In Zeitschrift für Literaturwissenschaft und Linguistik (pp. 113-134). Stuttgart: Metzler.
  • Weissenborn, J. (1984). La genèse de la référence spatiale en langue maternelle et en langue seconde: similarités et différences. In G. Extra, & M. Mittner (Eds.), Studies in second language acquisition by adult immigrants (pp. 262-286). Tilburg: Tilburg University.
  • Weissenborn, J. (1988). Von der demonstratio ad oculos zur Deixis am Phantasma. Die Entwicklung der lokalen Referenz bei Kindern. In Karl Bühler's Theory of Language. Proceedings of the Conference held at Kirchberg, August 26, 1984 and Essen, November 21–24, 1984 (pp. 257-276). Amsterdam: Benjamins.
  • Zavala, R. (2000). Multiple classifier systems in Akatek (Mayan). In G. Senft (Ed.), Systems of nominal classification (pp. 114-146). Cambridge University Press.

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