Papers with real-life translation scenarios
Facilitating Terminology Translation with Target Lemma Annotations (2021.eacl-main)
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| Challenge: | Recent work on terminology integration assumes that the correct morphological forms are apriori known. |
| Approach: | They propose to train machine translation systems using a source-side data augmentation method that annotates randomly selected source language words with their target language lemmas. |
| Outcome: | The proposed method improves terminology translation accuracy in Latvian and Baltic languages. |