波兰语NLP分类框架下文本处理的数据结构分析

2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM) Pub Date : 2022-09-22 DOI:10.23919/softcom55329.2022.9911412

Urszula Krzeszewska, A. Poniszewska-Marańda

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引用次数: 0

摘要

自然语言处理(NLP)涉及对书面陈述内容的分析、理解、生成和翻译的自动化。这样做是为了开发适当的工具和技术。软件工程中最重要的事情之一是为任务正确选择数据结构。本文提出了在波兰语文本分类环境中创建理想数据结构的一组要求，并回顾了对文本处理有用的现有数据结构，特别是分类，并将它们相互比较。创建了一组特定于波兰自然语言处理的需求，可以有效地比较数据结构和最终的文本处理任务。

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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Data Structures Analysis for Text Processing in the Framework of NLP Classification in Polish

Natural language processing (NLP) involves au-tomating the analysis, understanding, generation, and translation of the content of written statements. It is done in order to develop appropriate tools and techniques. One of the most important things on software engineering is the proper selection of the data structure for the task. The paper presents the set of requirements for creating an ideal data structure in the context of text classification in Polish and the review of existing data structures that are useful for text processing, in particular classification, comparing them with each other. Created set of requirements specific to natural language processing in Polish enabled effective comparison of data structures with the ultimate text processing task in mind.

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来源期刊

2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)

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