Языковые пары с низкими ресурсами

material ID: lowresourcelanguagepairs

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Publication: TIPSTER (2019)

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AbstractFor machine translation, a vast majority of language pairs in the world are considered low-resource because they have little parallel data available. Besides the technical challenges of learning with limited …...

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Unsupervised Extraction of Partial Translations for Neural Machine Translation

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AbstractIn neural machine translation (NMT), monolingual data are usually exploited through a so-called back-translation: sentences in the target language are translated into the source language to synthesize new parallel data. …...

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Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation

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When and Why is Unsupervised Neural Machine Translation Useless?

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Cross-lingual Feature Extraction from Monolingual Corpora for Low-resource Unsupervised Bilingual Lexicon Induction

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