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Syntax-Oriented Evaluation Measures for Machine Translation Output.

, and . WMT@EACL, page 29-32. Association for Computational Linguistics, (2009)

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Combining SMT and NMT Back-Translated Data for Efficient NMT., , , , and . CoRR, (2019)POS-based Word Reorderings for Statistical Machine Translation., and . LREC, page 1278-1283. European Language Resources Association (ELRA), (2006)rgbF: An Open Source Tool for n-gram Based Automatic Evaluation of Machine Translation Output.. Prague Bull. Math. Linguistics, (2012)What can we learn about the selection mechanism for post-editing?, , , , and . WPTP@MTSummit, (2013)Automatic error classification with multiple error labels., and . MTSummit (1), page 87-95. European Association for Machine Translation, (2019)Improving Statistical Word Alignments with Morpho-syntactic Transformations., , , , , , , and . FinTAL, volume 4139 of Lecture Notes in Computer Science, page 368-379. Springer, (2006)Informative Manual Evaluation of Machine Translation Output.. COLING, page 5059-5069. International Committee on Computational Linguistics, (2020)Can Text Simplification Help Machine Translation?, and . EAMT, page 230-242. European Association for Machine Translation, (2016)Identifying main obstacles for statistical machine translation of morphologically rich South Slavic languages., and . EAMT, European Association for Machine Translation, (2015)Selecting Feature Sets for Comparative and Time-Oriented Quality Estimation of Machine Translation Output., and . WMT@ACL, page 329-336. The Association for Computer Linguistics, (2013)