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


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Abstract

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.

About the authors

F. V. Krasnov

Gazpromneft Research and Development Center

Author for correspondence.
Email: Krasnov.FV@gazpromneft-ntc.ru
Russian Federation, St. Petersburg, 190000

M. E. Shvartsman

National Electronic Information Consortium; Russian State Library

Author for correspondence.
Email: shvar@neicon.ru
Russian Federation, Moscow, 115114; Moscow, 119019

A. V. Dimentov

National Electronic Information Consortium

Author for correspondence.
Email: adimentov@neicon.ru
Russian Federation, Moscow, 115114

A. I. Sen

St. Petersburg State University

Author for correspondence.
Email: anastasiia.sen@apmath.spbgu.ru
Russian Federation, St. Petersburg, 199034

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