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#hardtoparse: POS Tagging and Parsing the Twitterverse.

, , , , , , , and . Analyzing Microtext, volume WS-11-05 of AAAI Technical Report, AAAI, (2011)

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Massively Multilingual Neural Grapheme-to-Phoneme Conversion., , and . CoRR, (2017)Decreasing Lexical Data Sparsity in Statistical Syntactic Parsing - Experiments with Named Entities., , and . MWE@ACL, page 14-19. Association for Computational Linguistics, (2011)#hardtoparse: POS Tagging and Parsing the Twitterverse., , , , , , , and . Analyzing Microtext, volume WS-11-05 of AAAI Technical Report, AAAI, (2011)Active Learning for Post-Editing Based Incrementally Retrained MT., , , , and . EACL, page 185-189. The Association for Computer Linguistics, (2014)Exploring Paracrawl for Document-level Neural Machine Translation., , and . EACL, page 1296-1302. Association for Computational Linguistics, (2023)TransBooster: boosting the performance of wide-coverage machine translation systems., , , and . EAMT, European Association for Machine Translation, (2005)Improving Online Machine Translation Systems., , , , and . MTSummit, page 290-297. (2005)Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages., , , and . MTSummit (1), page 76-91. Association for Machine Translation in the Americas, (2021)Adapting WSJ-Trained Parsers to the British National Corpus using In-Domain Self-Training., , , and . IWPT, page 33-35. Association for Computational Linguistics, (2007)The Transference Architecture for Automatic Post-Editing., , , , , and . COLING, page 5963-5974. International Committee on Computational Linguistics, (2020)