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Combining SMT and NMT Back-Translated Data for Efficient NMT., , , , и . CoRR, (2019)rgbF: An Open Source Tool for n-gram Based Automatic Evaluation of Machine Translation Output.. Prague Bull. Math. Linguistics, (2012)POS-based Word Reorderings for Statistical Machine Translation., и . LREC, стр. 1278-1283. European Language Resources Association (ELRA), (2006)Identifying main obstacles for statistical machine translation of morphologically rich South Slavic languages., и . EAMT, European Association for Machine Translation, (2015)Can Text Simplification Help Machine Translation?, и . EAMT, стр. 230-242. European Association for Machine Translation, (2016)Informative Manual Evaluation of Machine Translation Output.. COLING, стр. 5059-5069. International Committee on Computational Linguistics, (2020)TerrorCat: a Translation Error Categorization-based MT Quality Metric., , , и . WMT@NAACL-HLT, стр. 64-70. The Association for Computer Linguistics, (2012)978-1-937284-20-6.chrF: character n-gram F-score for automatic MT evaluation.. WMT@EMNLP, стр. 392-395. The Association for Computer Linguistics, (2015)Selecting Feature Sets for Comparative and Time-Oriented Quality Estimation of Machine Translation Output., и . WMT@ACL, стр. 329-336. The Association for Computer Linguistics, (2013)What can we learn about the selection mechanism for post-editing?, , , , и . WPTP@MTSummit, (2013)