面向语体自动识别的现代汉语副词语体分类
北京语言大学, 信息科学学院, 北京 100083
| 摘 要： | 在自然语言理解中，一般通过词汇与句式的特点来识别不同的语体。但是，当前语言学界对于语体的相关研究主要集中于汉语语体体系的构建及其特征，还未涉及到对具体的词语进行语体类别的划分，存在理论与应用不对接的问题。在语言学界，通常从语义的角度出发对副词进行分类，本文则面向语体的自动识别，从语体的角度出发对副词进行分类。首先，将汉语语体看成是一个有层次的系统，分为正式语体和非正式语体两类，正式语体包括典雅语体与书面正式语体，非正式语体包括普通话口语体与方言语体；并提出了汉语副词语体划分的标准有：构词特点、韵律、形态、频次，同时提出了“跨语体副词”的概念并对其进行了介绍。不仅可以为汉语其他词类的语体划分提供参考，也可以为汉语语体的自动识别提供数据基础，进一步提高语体自动识别的准确率。 |
| 关 键 词： | 副词; 语体分类; 分类标准; 跨语体副词 |
| DOI： | 10.57237/j.cll.2022.01.002 |
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收稿日期: 2022-08-18
接受日期: 2022-10-05
在线出版日期: 2022-10-27
The Stylistic Classification of Modern Chinese Adverbs for Automatic Style Recognition
School of Information Science, Beijing Language and Culture University, Beijing 100083, China
| Abstract: | In natural language understanding, different styles are generally identified by the characteristics of words and sentence patterns. However, the current research on style in linguistics mainly focuses on the construction of the Chinese style system and its characteristics. It has not yet involved the classification of style for specific words, which has the problem of mismatch between theory and application. In the linguistic field, adverbs are generally classified from the perspective of semantics, while this paper is oriented toward the automatic identification of style. Therefore, we classified the adverbs from the perspective of style. Firstly, the modern Chinese style is regarded as a hierarchical system, and we divide it into formal and informal styles, with formal style including elegant style and written formal style, and informal style including spoken mandarin style and dialect style. Secondly, we proposed the criteria for classifying Chinese adverbial style, and they are composition characteristics, rhyme, morphology, and frequency. Finally, we also proposed the concept of "cross-style adverbs" and introduced it. It can not only provide a reference for the corpora classification of other Chinese words but also provide a database for the automatic recognition of Chinese corpora, and further improve the accuracy of the automatic recognition of corpora. |
| Keywords: | Adverbs; Style Classification; Classification Criteria; Cross-style Adverbs |
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