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An Exploration of Placeholding in Neural Machine Translation.

, , , and . MTSummit (1), page 182-192. European Association for Machine Translation, (2019)

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On the Robustness of Cognate Generation Models., and . LREC, page 4299-4305. European Language Resources Association, (2022)Analyzing Occupational Distribution Representation in Japanese Language Models., , , and . LREC/COLING, page 959-973. ELRA and ICCL, (2024)Creating Large-Scale Multilingual Cognate Tables., and . LREC, European Language Resources Association (ELRA), (2018)Massively Translingual Compound Analysis and Translation Discovery., and . LREC, European Language Resources Association (ELRA), (2018)On Pronunciations in Wiktionary: Extraction and Experiments on Multilingual Syllabification and Stress Prediction., and . BUCC@RANLP, page 68-74. INCOMA Ltd., (2021)Known Words Will Do: Unknown Concept Translation via Lexical Relations., and . LoResMT@COLING, page 15-22. Association for Computational Linguistics, (2022)Fine-grained Morphosyntactic Analysis and Generation Tools for More Than One Thousand Languages., , , , , and . LREC, page 3963-3972. European Language Resources Association, (2020)Creating a Translation Matrix of the Bible's Names Across 591 Languages., , and . LREC, European Language Resources Association (ELRA), (2018)The JHU Submission to the 2020 Duolingo Shared Task on Simultaneous Translation and Paraphrase for Language Education., , , , , and . NGT@ACL, page 188-197. Association for Computational Linguistics, (2020)Evaluating Neural Model Robustness for Machine Comprehension., , and . EACL, page 2470-2481. Association for Computational Linguistics, (2021)