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Morphology-Aware Statistical Machine Translation Based on Morphs Induced in an Unsupervised Manner

, , , and . Proceedings of Machine Translation Summit XI, page 391--498. Copenhagen, Denmark, (2007)

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Language Identification of Short Text Segments with N-gram Models., , and . LREC, European Language Resources Association, (2010)First-Pass Techniques for Very Large Vocabulary Speech Recognition ff Morphologically Rich Languages., , and . SLT, page 227-234. IEEE, (2018)Applying Morphological Decompositions to Statistical Machine Translation., , , and . WMT@ACL, page 195-200. Association for Computational Linguistics, (2010)Morpho Challenge 2005-2010: Evaluations and Results., , , and . SIGMORPHON, page 87-95. Association for Computational Linguistics, (2010)Predicting Reaction Times in Word Recognition by Unsupervised Learning of Morphology., , , , and . ICANN (1), volume 6791 of Lecture Notes in Computer Science, page 275-282. Springer, (2011)Morfessor and Hutmegs: unsupervised morpheme segmentation for highly-inflecting and compounding languages, , , and . (2005)Extending hybrid word-character neural machine translation with multi-task learning of morphological analysis., , and . WMT, page 296-302. Association for Computational Linguistics, (2017)Hybrid Morphological Segmentation for Phrase-Based Machine Translation., , and . WMT, page 289-295. The Association for Computer Linguistics, (2016)Controlling the Imprint of Passivization and Negation in Contextualized Representations., , , and . BlackboxNLP@EMNLP, page 136-148. Association for Computational Linguistics, (2020)Morphology-aware statistical machine translation based on morphs induced in an unsupervised manner., , , and . MTSummit, (2007)