conference-paper
وصول مفتوح
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies
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- الاستشهادات
- 74
- المراجع
- 70
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- 0
Paper overview
Abstract
Transfer learning or multilingual model is essential for low-resource neural machine translation (NMT), but the applicability is limited to cognate languages by sharing their vocabularies. This paper shows effective techniques to transfer a pre-trained NMT model to a new, unrelated language without shared vocabularies.
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Publication details
- DOI
- 10.18653/v1/p19-1120
- OpenAlex
- W2952614664
- Document type
- conference-paper
- Language
- EN
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