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与副词相关的兼类分歧词的考察研究

发布时间:2019-04-30 09:23
【摘要】:现代汉语词类研究中,副词是引发争论和存在问题最多的类别。本文就以从《词类问题探索》中收录的100个与副词相关的兼类分歧词为研究对象,展开对辞书标注分歧现象的探讨。分歧词的语料来源为CCRL语料库中名家小说、人民日报、大陆小说、港台小说、百科全书五个板块,单个词的语料数量视词语分布而定,至多不超过2500个用例。研究方法为在词类的基本理论基础上,,通过对部分分歧词实际用例的考察、分析、对比,即考察标注、频率统计、对比分析。先来确定分歧词是否兼类,进而描写副词与动、名、形之间存在的兼类问题,最后在大量的语料事实基础上,进行频率对比分析,考察这些词的词性功能,确定适当的分类划界条件。频率统计是研究词性标注问题较为切实可行的手段。统计后采用社会学中常用的“半数值”或“等值”的方法确定兼类划界的标准。研究结果表明,用考察分析的方法来研究词性标注问题是客观可行的,利用分析结果来解决词的兼类分歧是较有成效的。
[Abstract]:Adverbs are the most controversial and problematic categories in the study of parts of speech in modern Chinese. This paper focuses on 100 adverb-related paraphrase words included in the part-of-speech problem, and probes into the phenomenon of disagreements in the tagging of dictionaries. The source of disambiguated words is famous novel, People's Daily, mainland novel, Hong Kong and Taiwan novel, encyclopedia in CCRL corpus. The number of individual words depends on the distribution of words, no more than 2500 use cases. The research method is based on the basic theory of the part of speech, through the investigation, analysis and contrast of the actual use cases of partial divergent words, I. E., inspection tagging, frequency statistics and comparative analysis. In this paper, we first determine whether the disambiguated words belong to both categories, and then describe the problems existing between adverbs and verbs, names and forms. Finally, on the basis of a large number of corpus facts, we make a contrastive analysis of the frequency and examine the part of speech function of these words. Determine the appropriate conditions for classification delimitation. Frequency statistics is a feasible method to study the problem of part-of-speech tagging. After statistics, the method of "half-value" or "equivalent" commonly used in sociology is used to determine the criterion of delimitation. The results show that it is objective and feasible to use the method of investigation and analysis to study the problem of part of speech tagging, and it is more effective to use the analysis results to solve the disagreements between the two categories of words.
【学位授予单位】:黑龙江大学
【学位级别】:硕士
【学位授予年份】:2012
【分类号】:H146

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