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Understanding the effects of word-level linguistic annotations in under-resourced neural machine translation.

, , and . CoRR, (2024)

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Comparative Human and Automatic Evaluation of Glass-Box and Black-Box Approaches to Interactive Translation Prediction., , and . Prague Bull. Math. Linguistics, (2017)Apertium: a free/open-source platform for rule-based machine translation., , , , , , , , and . Mach. Transl., 25 (2): 127-144 (2011)Assisting non-expert speakers of under-resourced languages in assigning stems and inflectional paradigms to new word entries of morphological dictionaries., , , , , and . Lang. Resour. Evaluation, 51 (4): 989-1017 (2017)Understanding the effects of word-level linguistic annotations in under-resourced neural machine translation., , and . CoRR, (2024)Enlarging Monolingual Dictionaries for Machine Translation with Active Learning and Non-Expert Users., , and . RANLP, page 339-346. RANLP 2011 Organising Committee, (2011)Stand-off Annotation of Web Content as a Legally Safer Alternative to Bitext Crawling for Distribution., , and . EAMT, page 152-164. European Association for Machine Translation, (2016)An English-Swahili parallel corpus and its use for neural machine translation in the news domain., , , , , , , and . EAMT, page 299-308. European Association for Machine Translation, (2020)Black-box integration of heterogeneous bilingual resources into an interactive translation system., , and . HaCaT@EACL, page 57-65. Association for Computational Linguistics, (2014)The Universitat d'Alacant Submissions to the English-to-Kazakh News Translation Task at WMT 2019., , and . WMT (2), page 356-363. Association for Computational Linguistics, (2019)Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach., , , and . EMNLP (1), page 8502-8516. Association for Computational Linguistics, (2021)