Linguistic feature analysis on judicial decisions based on keyword extraction and high-frequency word statistics—taking paper of sentence for example

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Abstract

Apart from other common problems, judicial decisions are bound to an official and stiff format, lack of individualized considerations, and sticking to traditions. All these give the parties concerned, and the public an impression that judicial decisions are unreasonable. The origin of such a bad impression lies in the fact that judicial decisions are over-bound to a standardized template. Such a case breaks the organic relationship between all parts of a specific case. Moreover, the literal expressions also lower the authority of a court gravely, thus having an adverse impact to some extent. This article attempts to make a comparison of judicial decisions made on key cases in China based on including computerized keyword extraction and high-frequency word co-occurrence technology and by creating a database for judicial decisions. It takes the result of keyword extraction and data detection as a basic indicator for examining judicial decisions and then making an analysis on the linguistic features of judicial decisions. It is concluded that in view of pragmatics, juridical decisions shall be fuzzy and definite in language, reasonable and objective in language expression, as well as precise and concise in language expression effect, etc.

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Yuan, W. R., Lan, J., Hao, Y., & Zhao, X. (2019). Linguistic feature analysis on judicial decisions based on keyword extraction and high-frequency word statistics—taking paper of sentence for example. In Advances in Intelligent Systems and Computing (Vol. 752, pp. 1135–1142). Springer Verlag. https://doi.org/10.1007/978-981-10-8944-2_132

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