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Constituent ordering in spoken Japanese.

机译:日语口语的成分订购。

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摘要

In speaking, the speaker has a general idea about what they are going to talk about. They know how to form a grammatical sentence, and they know what grammatical roles they are going to assign to who and what. In a language like Japanese where the assignment of grammatical roles does not involve constituent ordering, the speaker has to decide in which constituent ordering they deliver the sentence. For example, when Japanese speakers want to say "Fred saw John", they first assign case particles, possibly the nominative case particle ga for "Fred" and the accusative case particle o for "John". The speaker then has to decide in which order, Fred-ga John-o or John-o Fred-ga, they will deliver the sentence.;I first investigate three factors that are pertinent to the choice of one constituent ordering over another: recency of previous mentions, cataphoric persistence and syntactic heaviness of the constituent. Recency is quantified by Referential Distance (RD), cataphoric persistence by Topic Persistence (TP), and syntactic heaviness by Syntactic Weight (SW). The relative measurement of RD, TP and SW between the two constituents in question indicates that the constituent with a lower RD, a higher TP or a higher SW tends to come before the constituent with a higher RD, a lower TP or a lower SW. Based on the patterns between factors and the earlier position, algorithms are formulated to examine if the algorithms can correctly predict the ordering choice between SOV and OSV. Applying the algorithms to the data shows not only that single predictors, RD, TP and SW, can make correct predictions, but also that the combination of three predictors can predict with a higher success rate than the single predictor or the combination of two predictors. In addition, other factors, the focus structure, the use of the particle wa and demonstratives, the light verb construction, and scene-setting and topical elements, are explored. The algorithms based on the factors are further applied to clauses containing the subject, the direct object and other phrases to examine if the factors are relevant to predicting what comes first or what precedes what.
机译:在发言中,发言人对他们将要谈论的内容有一个大致的了解。他们知道如何形成语法句子,并且知道将要分配给谁和什么的语法角色。在像日语这样的语言中,语法角色的分配不涉及成分顺序,说话者必须决定他们以哪种成分顺序传递句子。例如,当日语使用者要说“弗雷德看见约翰”时,他们首先分配案例粒子,可能是“弗雷德”的主格案例ga和“约翰”的宾格案例o。然后,演讲者必须决定以哪种顺序发言,即Fred-ga John-o或John-o Fred-ga。他们将执行句子。我首先研究与选择一种成分的顺序有关的三个因素:新近度前面提到的,该组成部分的后向持久性和语法沉重性。通过参考距离(RD)量化新近度,通过主题持久性(TP)量化前奏持久性,通过句法权重(SW)量化语法沉重性。所讨论的两个成分之间的RD,TP和SW的相对测量结果表明,具有较低RD,较高TP或较高SW的成分倾向于先于具有较高RD,较低TP或较低SW的成分。基于因素之间的模式和较早的位置,制定了算法以检查算法是否可以正确预测SOV和OSV之间的排序选择。将算法应用于数据不仅显示单个预测器RD,TP和SW可以做出正确的预测,而且三个预测器的组合比单个预测器或两个预测器的组合可以以更高的成功率进行预测。此外,还探讨了其他因素,包括焦点结构,质押词wa和指示词的使用,轻动词结构以及场景设置和主题元素。基于这些因素的算法可进一步应用于包含主语,直接宾语和其他短语的子句,以检查这些因素是否与预测先发生的事情或先发生的事情有关。

著录项

  • 作者

    Yamasaki, Yumi.;

  • 作者单位

    State University of New York at Buffalo.;

  • 授予单位 State University of New York at Buffalo.;
  • 学科 Language Linguistics.;Language Modern.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 372 p.
  • 总页数 372
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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