The Task of Tagging Part of Speech in Natural Language Processing

Manzura Abjalova, D. Elova
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引用次数: 0

Abstract

Natural language processing is a complex process that requires consideration of all phenomena, general and particular aspects, exceptions, phonetic, morphological, lexical, grammatical, semantic and even orthoepic features of a social language. At the same time, since the creation of an artificial intelligence system is an important result, it is important to achieve text processing units using digital technologies. In this process, it is necessary to determine the parts of speech of words. In computational linguistics, it is known that this linguistic and technical analysis is a stage of marking words – PoS-tagger, that is, tagging a part of speech of words, and is also considered the main stage of automatic text processing. Initial attempts to create tags in creating a language corpus solved many of the most pressing text problems today. In natural language processing (NLP), word labeling is also a primary concern, which leads to the analysis of various linguistic ambiguities in the text, such as the definition of homonymy and semantics of ambiguous words.This article discusses about part-of-speech tagging words, its significance in the process of computer analysis of texts, and the methods of tagging.
自然语言处理中词性标注的任务
自然语言处理是一个复杂的过程,需要考虑社会语言的所有现象、一般和特殊方面、例外、语音、形态、词汇、语法、语义甚至正字法特征。同时,由于人工智能系统的创建是一个重要的结果,因此使用数字技术实现文本处理单元是很重要的。在这个过程中,有必要确定单词的词性。在计算语言学中,我们知道这种语言和技术分析是一个标记词的阶段——post -tagger,即标记词的一部分词性,也被认为是自动文本处理的主要阶段。在创建语言语料库时创建标签的最初尝试解决了当今许多最紧迫的文本问题。在自然语言处理(NLP)中,词标注也是一个主要问题,它导致对文本中各种语言歧义的分析,例如歧义词的同音和语义的定义。本文讨论了词性标注词及其在计算机文本分析过程中的意义,以及标注的方法。
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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