A Thematic Coherence Study of a Bilingual Corpus of Articles on Oil and Gas Research

Structural differences between scientific articles that arise from their translation from Russian into English are studied using the modal topic modeling technique. Each collected document is represented by two modes, that is, English and Russian. As a result of the topic modeling, the Φ and Θ bimod...

Full description

Saved in:
Bibliographic Details
Published in:Automatic documentation and mathematical linguistics 2019-05, Vol.53 (3), p.138-142
Main Authors: Krasnov, F. V., Shvartsman, M. E., Dimentov, A. V., Sen, A. I.
Format: Article
Language:English
Subjects:
Automation of Text Processing
Computer Science
Data mining
Information Storage and Retrieval
Modelling
Scientific papers
Words (language)
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Structural differences between scientific articles that arise from their translation from Russian into English are studied using the modal topic modeling technique. Each collected document is represented by two modes, that is, English and Russian. As a result of the topic modeling, the Φ and Θ bimodal matrices are obtained. Analysis of the Φ matrix showed that the topics were divided according to the degree of conformity between Russian and English terms when the words are considered in descending order of probability. For 90% of the topics, the English words fully match the Russian ones. Analysis of the Θ matrix showed that for 99% of the documents there is a subject with a value greater than 0.95. Thus, most of the documents are monotopical, which does not depend on the document language.
ISSN:0005-1055
1934-8371
DOI:10.3103/S0005105519030075