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Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions.

, , and . IWSLT, International Workshop on Spoken Language Translation, (2016)

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Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions., , and . IWSLT, International Workshop on Spoken Language Translation, (2016)A Systematic Analysis of Translation Model Search Spaces., , , and . WMT@EACL, page 224-232. Association for Computational Linguistics, (2009)Machine Translation with Open Source Software, and . Moses, (2012)Factored Translation Models., and . EMNLP-CoNLL, page 868-876. ACL, (2007)Fast, Scalable Phrase-Based SMT Decoding., , , and . AMTA (1), page 40-52. The Association for Machine Translation in the Americas, (2016)ParaCrawl: Web-Scale Acquisition of Parallel Corpora., , , , , , , , , and 9 other author(s). ACL, page 4555-4567. Association for Computational Linguistics, (2020)On-the-Fly Fusion of Large Language Models and Machine Translation., , and . CoRR, (2023)A Parallel Corpus for Evaluating Machine Translation between Arabic and European Languages., , , , and . EACL (2), page 235-241. Association for Computational Linguistics, (2017)Revisiting Locality Sensitive Hashing for Vocabulary Selection in Fast Neural Machine Translation., , , and . WMT, page 855-869. Association for Computational Linguistics, (2022)Fast and highly parallelizable phrase table for statistical machine translation., and . WMT, page 102-109. The Association for Computer Linguistics, (2016)