The UMD Machine Translation Systems at IWSLT 2015
نویسندگان
چکیده
We describe the University of Maryland machine translation systems submitted to the IWSLT 2015 French-English and Vietnamese-English tasks. We built standard hierarchical phrase-based models, extended in two ways: (1) we applied novel data selection techniques to select relevant information from the large French-English training corpora, and (2) we experimented with neural language models. Our FrenchEnglish system compares favorably against the organizers’ baseline, while the Vietnamese-English one does not, indicating the difficulty of the translation scenario.
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