英语情态动词语言学研究综述与数据挖掘

IF 6.4 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Jianping Yu, Jilin Fu, Tana Bai, Xueping Xu
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引用次数: 0

摘要

情态动词表达情态,情态与描述事件的命题的状态有关,它也表达了说话人对话语中命题的意见和态度。由于模态直接关系到客观世界、主观世界和语言的使用,因此一直是哲学家、逻辑学家和语言学家的研究热点。哲学家关注的是客观世界与情态的真/假价值之间的关系;逻辑学家关心的是可能性、必然性和客观世界之间的关系;语言学家关注情态动词的情态范畴、意义范畴、功能、识别和应用。近年来,情态动词的语言学研究已经从一般语言学研究扩展到计算语言学研究。由于情态动词是一个复杂的语义系统,其意义往往是不确定的,因此一直是语言学研究中的一个难题,受到了广泛的关注。厘清以往情态动词语言学研究的现状,揭示其研究特点,对进一步研究情态动词具有重要意义。因此,本文将着重对以往英语情态动词的语言学研究进行回顾,并对以往研究的特点进行数据挖掘,并在总结前人研究的基础上,对英语情态动词的进一步研究提出建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Review and data mining of linguistic studies of English modal verbs

Review and data mining of linguistic studies of English modal verbs
Modal verbs express modality, and modality is concerned with the status of the proposition that describes an event, it also expresses the opinion and attitude of a speaker toward the proposition of an utterance. Since modalities are directly related to the objective world, subjective world, and language use, they have been a hot topic of philosophers, logicians and linguists. Philosophers concern with the relations between the objective world and the true/false values of the modality; logicians are interested in the relations among the possibility, necessity and the objective world; and linguists pay attention to the modality category, sense category, function, recognition, and application of modal verbs. In recent years, the linguistic studies of modal verbs have extended from general linguistic studies to computational linguistic studies. Since modal verbs are a complex semantic system and they are often indeterminate in senses, they have been a tough issue in linguistic studies and have attracted great attention. To clarify the status of the previous linguistic studies of modal verbs and reveal the characteristics of the studies will be of great significance for the further study. Therefore, this article will focus on the review of the previous linguistic studies of English modal verbs and the data mining of the characteristics of the previous studies, and based on the summary of the previous studies, give suggestions for the further study of the English modal verbs.
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来源期刊
Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, THEORY & METHODS
CiteScore
22.70
自引率
2.60%
发文量
39
审稿时长
>12 weeks
期刊介绍: The goals of Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery (WIREs DMKD) are multifaceted. Firstly, the journal aims to provide a comprehensive overview of the current state of data mining and knowledge discovery by featuring ongoing reviews authored by leading researchers. Secondly, it seeks to highlight the interdisciplinary nature of the field by presenting articles from diverse perspectives, covering various application areas such as technology, business, healthcare, education, government, society, and culture. Thirdly, WIREs DMKD endeavors to keep pace with the rapid advancements in data mining and knowledge discovery through regular content updates. Lastly, the journal strives to promote active engagement in the field by presenting its accomplishments and challenges in an accessible manner to a broad audience. The content of WIREs DMKD is intended to benefit upper-level undergraduate and postgraduate students, teaching and research professors in academic programs, as well as scientists and research managers in industry.
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