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Can Text Simplification Help Machine Translation?

, и . EAMT, стр. 230-242. European Association for Machine Translation, (2016)

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Aleksandra Popovic

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Zoran Popovic

Dimitri Majakos

Abdulkader Majanny

 

Другие публикации лиц с тем же именем

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)Improving Statistical Word Alignments with Morpho-syntactic Transformations., , , , , , , и . FinTAL, том 4139 из Lecture Notes in Computer Science, стр. 368-379. Springer, (2006)Informative Manual Evaluation of Machine Translation Output.. COLING, стр. 5059-5069. International Committee on Computational Linguistics, (2020)What can we learn about the selection mechanism for post-editing?, , , , и . WPTP@MTSummit, (2013)Automatic error classification with multiple error labels., и . MTSummit (1), стр. 87-95. European Association for Machine Translation, (2019)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.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)chrF: character n-gram F-score for automatic MT evaluation.. WMT@EMNLP, стр. 392-395. The Association for Computer Linguistics, (2015)POS-based Word Reorderings for Statistical Machine Translation., и . LREC, стр. 1278-1283. European Language Resources Association (ELRA), (2006)