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High Frequent In-domain Words Segmentation and Forward Translation for the WMT21 Biomedical Task

تقسيم الكلمات المتكررة عالية المتكررة والترجمة الأمامية للمهمة الطبية الحيوية WMT21

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 Publication date 2021
and research's language is English
 Created by Shamra Editor




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This paper reports the optimization of using the out-of-domain data in the Biomedical translation task. We firstly optimized our parallel training dataset using the BabelNet in-domain terminology words. Afterward, to increase the training set, we studied the effects of the out-of-domain data on biomedical translation tasks, and we created a mixture of in-domain and out-of-domain training sets and added more in-domain data using forward translation in the English-Spanish task. Finally, with a simple bpe optimization method, we increased the number of in-domain sub-words in our mixed training set and trained the Transformer model on the generated data. Results show improvements using our proposed method.



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