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Review and data mining of linguistic studies of English modal verbs

机译:英语情态动词语言学研究的回顾与数据挖掘

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Abstract 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. This article is categorized under: Algorithmic Development > Text Mining Fundamental Concepts of Data and Knowledge > Big Data Mining Technologies > Structure Discovery and Clustering
机译:抽象的情态动词表达形态形态是关心的状态命题描述一个事件,它也表达说话者的观点和态度对话语的命题。形式直接相关的目标世界、主观世界和语言的使用,他们一直是一个热门话题的哲学家,逻辑学家吗和语言学家。和客观世界之间的关系真/假值的形态;之间的关系感兴趣可能性、必要性和客观世界;和语言学家注意方法类别,分类,功能,识别,情态动词和应用。情态动词的语言研究扩展从通用语言研究计算语言学研究。动词是一个复杂的语义系统和它们经常不确定的感觉,他们有在语言研究和艰难的问题引起了极大的关注。以前的语言情态动词的研究和揭示的特点研究进一步将具有重要意义研究。回顾以前的语言的研究英语情态动词和数据挖掘的先前的研究特点基于先前的研究的总结,为进一步研究的建议英语情态动词。下:>文本挖掘算法的发展>大数据的基本概念和知识数据挖掘技术发现>结构和集群

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