SuperNMT: Neural Machine Translation with Semantic Supersenses and Syntactic Supertags (P18-3)
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| Challenge: | Neural Machine Translation models have become the state-of-the-art in the field of machine translation. |
| Approach: | They incorporate semantic supersensetags and syntactic supertag features into EN–FR and EN–DE factored NMT systems and show that they improve model training. |
| Outcome: | The proposed model training improves on EN–FR and EN–DE factored NMT systems. |
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