This article is cited in 1 scientific paper (total in 1 paper)
Machine translation of Russian connectives into French: errors and quality failures
V. Nurievab, N. Buntmanc, O. Inkovad
a Institute of Linguistics of the Russian Academy of Sciences, 1 bld. 1 Bolshoy Kislovsky Lane, Moscow 125009, Russian Federation
Research Center “Computer Science and Control” of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
c M. V. Lomonosov Moscow State University, GSP-1, Leninskie Gory, Moscow 119991, Russian Federation
d University of Geneva, 24 du Général-Dufour Str., Genève 4 1211, Switzerland
The paper shows what machine errors and quality failures may occur when translating connectives. To that end, a statistical machine translation (SMT) system has been used in order to generate translation samples. The opening part presents a brief retrospective on how machine translation has been developing for over 60 years; it sets out the necessary background and provides the context. Also, section 1 explains how an SMT system works. Then, the paper takes a closer look at the problem of evaluation of machine translation quality. Several approaches to classifying machine translation errors are considered to finally attempt a taxonomy that covers specifically the errors central to translation of connectives (from Russian into French). The closing section provides examples of these machine translation errors.
statistical machine translation; corpus linguistics; machine translation errors; parallel texts.
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V. Nuriev, N. Buntman, O. Inkova, “Machine translation of Russian connectives into French: errors and quality failures”, Inform. Primen., 12:2 (2018), 105–113
Citation in format AMSBIB
\by V.~Nuriev, N.~Buntman, O.~Inkova
\paper Machine translation of Russian connectives into French: errors and quality failures
\jour Inform. Primen.
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