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Dynamic Data Selection for Neural Machine Translation.

, , and . EMNLP, page 1400-1410. Association for Computational Linguistics, (2017)

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Document understanding for a broad class of documents., , and . IJDAR, 5 (1): 1-16 (2002)Symbolic-to-statistical hybridization: extending generation-heavy machine translation., , and . Machine Translation, 23 (1): 23-63 (2009)Task-based evaluation of text summarization using Relevance Prediction., , , and . Inf. Process. Manage., 43 (6): 1482-1499 (2007)A Resolution Calculus for Dynamic Semantics, and . CoRR, (2000)What does Attention in Neural Machine Translation Pay Attention to?, and . IJCNLP(1), page 30-39. Asian Federation of Natural Language Processing, (2017)Dependency-Based Bilingual Language Models for Reordering in Statistical Machine Translation., and . EMNLP, page 1689-1700. ACL, (2014)Model Tree Learning for Query Term Weighting in Question Answering.. ECIR, volume 4425 of Lecture Notes in Computer Science, page 589-596. Springer, (2007)Translation Model Adaptation Using Genre-Revealing Text Features., , and . DiscoMT@EMNLP, page 132-141. Association for Computational Linguistics, (2015)What's in a Domain? Analyzing Genre and Topic Differences in Statistical Machine Translation., , , and . ACL (2), page 560-566. The Association for Computer Linguistics, (2015)NeurAlign: Combining Word Alignments Using Neural Networks., , and . HLT/EMNLP, page 65-72. The Association for Computational Linguistics, (2005)