Abstract
Translating to and from low-resource polysynthetic languages present numerous challenges for NMT. We present the results of our systems for the English--Inuktitut language pair for the WMT 2020 translation tasks. We investigated the importance of correct morphological segmentation, whether or not adding data from a related language (Greenlandic) helps, and whether using contextual word embeddings improves translation. While each method showed some promise, the results are mixed.
Original language | English |
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Title of host publication | Proceedings of the Fifth Conference on Machine Translation (WMT) |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 274-281 |
Number of pages | 8 |
Publication status | Published - Nov-2020 |
Event | Fifth Conference on Machine Translation - Online Duration: 19-Nov-2020 → 20-Nov-2020 |
Conference
Conference | Fifth Conference on Machine Translation |
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Abbreviated title | WMT20 |
Period | 19/11/2020 → 20/11/2020 |