Identify of the substantive, attribute, and verb collocations in russian text

Files

2019v2___Proceedings_of_the_3nd_International_conference_COLINS_2019_Workshop_Kharkiv_Ukraine_April_18-19_2019_Lytvynenko_J-Identify_of_the_substantive_66-68.pdf (409.41 KB)
2019v2___Proceedings_of_the_3nd_International_conference_COLINS_2019_Workshop_Kharkiv_Ukraine_April_18-19_2019_Lytvynenko_J-Identify_of_the_substantive_66-68__COVER.png (312.36 KB)

Date

2019-04-18

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Lviv Politechnic Publishing House

Abstract

This article describes methods and existing libraries for POS-tagging and collocations extraction, using NLP technologies, processing natural language text in the Python programming language. In addition, it describes one of the possible methods for the selection of collocations for a given pattern.

Description

Keywords

POS-tagging, Python, collocation, corpus linguistics, collocations extraction, morphological marking, computer linguistics, intellectual technologies

Citation

Lytvynenko J. Identify of the substantive, attribute, and verb collocations in russian text / Julia Lytvynenko // Computational Linguistics and Intelligent Systems. — Lviv : Lviv Politechnic Publishing House, 2019. — Vol 2 : Proceedings of the 3nd International conference, COLINS 2019. Workshop, Kharkiv, Ukraine, April 18-19, 2019. — P. 66–68. — (Student section).

URI

https://ena.lpnu.ua/handle/ntb/45485

Collections

Computational linguistics and intelligent systems. – 2019 р.