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Tunable Distortion Limits and Corpus Cleaning for SMT.

, , , and . WMT@ACL, page 225-231. The Association for Computer Linguistics, (2013)

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LSDC - A comprehensive dataset for Low Saxon Dialect Classification., , , and . VarDial@COLING, page 25-35. International Committee on Computational Linguistics (ICCL), (2020)Revisiting NMT for Normalization of Early English Letters., , , , and . LaTeCH@NAACL-HLT, page 71-75. Association for Computational Linguistics, (2019)Phrase-Based SMT for Finnish with More Data, Better Models and Alternative Alignment and Translation Tools., , , , , , and . WMT, page 391-398. The Association for Computer Linguistics, (2016)The University of Helsinki Submissions to the WMT19 News Translation Task., , , , , , , and . WMT (2), page 412-423. Association for Computational Linguistics, (2019)Tunable Distortion Limits and Corpus Cleaning for SMT., , , and . WMT@ACL, page 225-231. The Association for Computer Linguistics, (2013)The University of Helsinki submissions to the WMT18 news task., , , , and . WMT (shared task), page 488-495. Association for Computational Linguistics, (2018)Efficient Discrimination Between Closely Related Languages., and . COLING, page 2619-2634. Indian Institute of Technology Bombay, (2012)Boosting Neural Machine Translation from Finnish to Northern Sámi with Rule-Based Backtranslation., , , and . NoDaLiDa, page 351-356. Linköping University Electronic Press, Sweden, (2021)NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance., , , and . NoDaLiDa, page 276-287. Linköping University Electronic Press, Sweden, (2021)Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations., , , , , and . NODALIDA, page 281-290. Linköping University Electronic Press, (2019)