Morphology Aware Source Term Masking for Terminology-Constrained NMT (2024.findings-eacl)
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| Challenge: | Recent research in terminology-constrained NMT systems focuses on data-driven approaches to generating translations. |
| Approach: | They propose a method that appends target term lemmas to their corresponding source terms in the input sentence while retaining essential grammatical information. |
| Outcome: | The proposed method improves on the “copy-and-inflect” method in two translation directions with different levels of source morphological complexity. |
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| Challenge: | a new approach to encourage neural machine translation to satisfy lexical constraints is proposed . a BLEU score and percentage of generated constraint terms are improved by the proposed method . |
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