《汉俄大词典》单字条目词类标注实证研究

发布时间：2018-03-19 19:05

本文选题：词与非词的区分　切入点：兼类　出处：《四川外国语大学》2015年硕士论文　论文类型：学位论文

【摘要】：尽管关于汉语、英语等分析语词类问题的研究不胜枚举,然而词类标注一直以来都是一个棘手的,具有争议的问题。在汉外词典的词类标注研究中,涉及汉英词典的较多,而汉俄词典的词类标注研究微乎其微。《汉俄大词典》是为中国的俄语学习者和外国的汉语学习者而编写的,是一部内外型兼具的词典,也是第一部标注词类的汉俄词典。本文以分析语的双层词类范畴化为理论依据,以国家语委语料库和自建的《汉俄词典》单字条目词类标注数据库为基础,对词与非词的区分、兼类词的处理以及词类对译原则进行分析研究。研究发现,该词典在词与非词的区分、兼类问题的处理以及词类对译方面存在一定的问题。通过分析语的双层词类范畴化理论,我们认为词类范畴化发生在言语层面句法和社群语言层面词库,词典中的词的语法属性判断应该建立在使用模式调查的基础上,只有规约化用法才能收入词典。本项研究不仅有助于深化汉外词典的词类标注研究,也有助于深化汉语词类问题的研究。
[Abstract]:Although there are too many studies on Chinese, English and other analytical words, part of speech tagging has always been a thorny and controversial issue. In the research of Chinese and foreign dictionaries, there are more Chinese and English dictionaries involved. However, the study of Chinese and Russian dictionaries on part of speech tagging is minimal. The Chinese-Russian Dictionary is written for Russian learners in China and Chinese learners in foreign countries, and it is a dictionary of both internal and external types. It is also the first Chinese-Russian dictionary to mark parts of speech. Based on the two-level categories of parts of speech of the analysis language, the corpus of the State language Committee and the database of Chinese and Russian dictionary, this paper distinguishes words from non-words. The study shows that the dictionary has some problems in the distinction between words and non-words, the treatment of concurrent problems and the translation of parts of speech. We believe that categorization of parts of speech occurs at the level of speech syntax and community language, and that the grammatical attributes of words in the dictionary should be judged on the basis of a survey of usage patterns. This study is not only helpful to deepen the study of Chinese and foreign dictionaries' part of speech tagging, but also to the study of Chinese parts of speech.
【学位授予单位】：四川外国语大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：H35

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