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Parallel sentences mining with transfer learning in an unsupervised setting
In this paper, we propose an approach based on transfer learning to mine parallel sentences in the unsupervised setting. With the help of bilingual corpora of rich-resource language pairs, we can mine parallel sentences without bilingual supervision of low-resource language pairs.
Toward Better Loanword Identification in Uyghur Using Cross-lingual Word Embeddings
Neural machine translation models integrating results of loanword identification experiments achieve the best results on OOV translation(with 0. 5-0. 9 BLEU improvements)
Log-linear Models for Uyghur Segmentation in Spoken Language Translation
To alleviate data sparsity in spoken Uyghur machine translation, we proposed a log-linear based morphological segmentation approach.
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