COMPARISON OF PARSING METHODS FOR THE ANALISYS OF A NATURAL LANGUAGE SENTENCE
Keyword(s):
When constructing machine translation systems, an important task is to represent data using graphs, where words act as vertices, and relations between words in a sentence act as edges. One of these tasks at the first stage of the analysis is the classification of words as parts of speech, and at the next stage of the analysis to determine the belonging of words to the sentence members’ classes. The article discusses methods of parsing both on the basis of rules determined in advance by means of traditional object-oriented programming, and on the basis of analysis by means of graph convolutional neural networks with their subsequent training. Online dictionaries act as a thesaurus.
Keyword(s):
2020 ◽
Vol 2020
(10)
◽
pp. 28-1-28-7
◽
2020 ◽
Vol 16
(9)
◽
pp. 1332
2019 ◽
Vol 7
(6)
◽
pp. 164-168
Keyword(s):
Keyword(s):