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Synthetic Data Generation for Grammatical Error Correction with Tagged Corruption Models.

, and . BEA@EACL, page 37-47. Association for Computational Linguistics, (2021)

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Minimum Bayes-Risk Word Alignments of Bilingual Texts., and . EMNLP, page 140-147. (2002)Modeling Non-Linguistic Contextual Signals in LSTM Language Models Via Domain Adaptation., , , , , and . ICASSP, page 6094-6098. IEEE, (2018)Synthetic Data Generation for Grammatical Error Correction with Tagged Corruption Models., and . BEA@EACL, page 37-47. Association for Computational Linguistics, (2021)Weakly Supervised Grammatical Error Correction using Iterative Decoding., , , , and . CoRR, (2018)Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model., , , , , and . ICASSP, page 6097-6101. IEEE, (2022)Corpora Generation for Grammatical Error Correction., , , , , and . NAACL-HLT (1), page 3291-3301. Association for Computational Linguistics, (2019)A Conversational Neural Language Model for Speech Recognition in Digital Assistants., and . ICASSP, page 5784-5788. IEEE, (2018)A Weighted Finite State Transducer Implementation of the Alignment Template Model for Statistical Machine Translation., and . HLT-NAACL, The Association for Computational Linguistics, (2003)Minimum Bayes-Risk Decoding for Statistical Machine Translation., and . HLT-NAACL, page 169-176. The Association for Computational Linguistics, (2004)Risk based lattice cutting for segmental minimum Bayes-risk decoding., and . INTERSPEECH, page 373-376. ISCA, (2002)