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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/67346


    Title: Preferred Argument Structure For Discourse Understanding
    Authors: 徐嘉慧
    Chui, Ka-wai
    Contributors: 英文系
    Date: 1992
    Issue Date: 2014-07-07 13:20:19 (UTC+8)
    Abstract: The main purpose of communication is to exchange information. Any discourse understanding model should be able to process the flow of information throughout the entire text. According to Du Bois (1987)`s studies of information flow in discourse across a number of languages, information distribution among argument positions in clauses is by no means random, but certain grammatical patterns tend to recur consistently. He thus formulated a roles Du Bois`s PAS formulates.Since the structure of information flow has a corresponding grammatical patterning, both grammatical and pramatic processing can be carried out simultaneously, in that the information status of an argument can be identified by virtue of grammatical analysis. Although PAS is neither universal nor categorical, it can function in a discourse understanding model as heuristic device to process the information structure of a connected spoken discourse.
    Relation: International Conference on Computational Linguistics - COLING , pp. 1142-1146
    Data Type: conference
    DOI 連結: http://dx.doi.org/10.3115/992424.992450
    DOI: 10.3115/992424.992450
    Appears in Collections:[英國語文學系] 會議論文

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