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Transductive Minimum Error Rate Training for Statistical Machine Translation.

, , , , and . IJCNLP, page 641-648. The Association for Computer Linguistics, (2011)

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Learning word embeddings from dependency relations., , , , and . IALP, page 123-127. IEEE, (2014)Decoding with Large-Scale Neural Language Models Improves Translation., , , and . EMNLP, page 1387-1392. ACL, (2013)Language Model Weight Adaptation Based on Cross-entropy for Statistical Machine Translation., , , , and . PACLIC, page 20-30. Digital Enhancement of Cognitive Development, Waseda University, (2011)Transductive Minimum Error Rate Training for Statistical Machine Translation., , , , and . IJCNLP, page 641-648. The Association for Computer Linguistics, (2011)Word Alignment Combination over Multiple Word Segmentation., , , and . ACL (Student Session), page 1-5. The Association for Computer Linguistics, (2011)Adaptive Development Data Selection for Log-linear Model in Statistical Machine Translation., , , and . COLING, page 662-670. Tsinghua University Press, (2010)An Investigation on Statistical Machine Translation with Neural Language Models., , , and . CCL, volume 8801 of Lecture Notes in Computer Science, page 175-186. Springer, (2014)The MSRA machine translation system for IWSLT 2010., , , , , , , , , and . IWSLT, page 135-138. ISCA, (2010)Adapting Conventional Chinese Word Segmenter for Segmenting Micro-blog Text: Combining Rule-based and Statistic-based Approaches., , , , , , , and . CIPS-SIGHAN, page 63-68. Association for Computational Linguistics, (2012)Adaptation of Language Models for SMT Using Neural Networks with Topic Information., , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 15 (3): 19:1-19:15 (2016)