The JHU Machine Translation Systems for WMT 2017
نویسندگان
چکیده
This paper describes the Johns Hopkins University submissions to the shared translation task of EMNLP 2017 Second Conference on Machine Translation (WMT 2017). We set up phrase-based, syntax-based and/or neural machine translation systems for all 14 language pairs of this year’s evaluation campaign. We also performed neural rescoring of phrasebased systems for English-Turkish and English-Finnish.
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