Overview of methods for automatic natural language text processing
Автор: Belov Serey, Zrelova Daria, Zrelov Petr, Korenkov Vladimir
Журнал: Сетевое научное издание «Системный анализ в науке и образовании» @journal-sanse
Статья в выпуске: 3, 2020 года.
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This paper provides a brief overview of modern methods and approaches used for automatic processing of text information. In English-language literature, this area of science is called NLP-Natural Language Processing. The very name suggests that the subject of analysis (and for many tasks - and synthesis) are materials presented in one of the natural languages (and for a number of tasks - in several languages simultaneously), i.e. national languages of communication between people. Programming languages are not included in this group. In Russian-language literature, this area is called Computer (or mathematical) linguistics. NLP (computational linguistics) usually includes speech analysis along with text analysis, but in this review speech analysis does not consider. The review used materials from original works, monographs, and a number of articles published the «Open Systems.DBMS» journal.
NLP, linguistics, language corpus, machine learning, Word2vec model, neural networks
Короткий адрес: https://sciup.org/14123321
IDR: 14123321