Papers by Radina Dobreva
Document Sub-structure in Neural Machine Translation (2020.lrec-1)
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| Challenge: | Current approaches to machine translation (MT) translate sentences in isolation, disregarding context they appear in, or model context at the level of the full document. |
| Approach: | They propose to include information about the topic of the section within which each sentence is found in a document that is not homogeneous . they use a cache-based model to model the context of the document, instead of translating sentences in isolation . |
| Outcome: | The proposed model incorporates information about the topic of the section within which each sentence is found into a neural model. |