| Challenge: | Neural machine translation systems with subword vocabularies can translate or copy unknown words . we examine the influence of context and subword features on copying behavior . |
| Approach: | They show that neural machine translation systems with subword vocabularies can translate unknown words . they also learn to copy words based on context and features of the words themselves . |
| Outcome: | The proposed model outperforms phrase-based statistical machine translation systems on translation of unknown words. |
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