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您现在的位置是:虫虫源码 > 其他 > 用于统计机器翻译的一种基于区分性的基于语法的词对齐包

用于统计机器翻译的一种基于区分性的基于语法的词对齐包

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Please visit the Nile project page on GitHub http://jasonriesa.github.io/nile/ Nile is a supervised, discriminative word alignment package that can make use of arbitrary and overlapping features. Our current supplied language-independent featureset enables accurate models of word alignment as tested on Arabic-English and Chinese-English language pairs. You can easily augment training with your own set of features specific to whatever language pair you are working with. For details, see: Feature-Rich Language-Independent Syntax-Based Alignment for Statistical Machine Translation. (J. Riesa, A. Irvine, and D. Marcu). 2011. In Proceedings of EMNLP, pp. 497-507. Hierarchical Search for Word Alignment (J. Riesa and D. Marcu). 2010. In Proceedings of ACL, pp. 157-166. Note: Code related to our NAACL 2012 paper involving derivation

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