Morfawk。具有依赖性分析的日文令牌级模式匹配和处理语言

Proceedings of the 2023 12th International Conference on Software and Computer Applications Pub Date : 2023-02-23 DOI:10.1145/3587828.3587878

Tsuneo Nakanishi, Hokuto Ototake, Toshifumi Tanabe, Kenji Yoshimura

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引用次数: 0

摘要

用自然语言编写的开发文档的质量基本上是通过开发人员的审核来保证的。自然语言处理(NLP)工具可以部分地自动化耗时的审查。为此，作者开发了日语文本的语素级模式匹配和处理工具morfgrep和morfawk;在此基础上，本文将其扩展为基于短语间依赖关系的模式匹配。还介绍了这些工具的示例应用，包括开发文档的校对和特定领域的术语提取。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Morfawk.ja: A Japanese Token Level Pattern Matching and Processing Language with Dependency Analysis

The quality of development documents written in natural language is basically ensured by developer's review with quite a few man-hours. Natural language processing (NLP) tools can partially automate the time-consuming review. The authors have developed morpheme level pattern matching and processing tools morfgrep and morfawk for Japanese texts for this purpose; moreover, in this paper, extends them to perform pattern matching on dependency among phrases. Example applications of the tools, proofreading of development documents and domain-specific term extraction, are also presented.

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Proceedings of the 2023 12th International Conference on Software and Computer Applications

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