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Báo cáo khoa học: "Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages"

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Báo cáo khoa học: "Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages"

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We propose several techniques for improving statistical machine translation between closely-related languages with scarce resources. We use character-level translation trained on n-gram-character-aligned bitexts and tuned using word-level BLEU, which we further augment with character-based transliteration at the word level and combine with a word-level translation model.

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Nội dung Text: Báo cáo khoa học: "Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages"

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