The JHU Machine Translation Systems for WMT 2017

Autor:	Gaurav Kumar, Huda Khayrallah, Kevin Duh, Matt Post, Philipp Koehn, Shuoyang Ding
Rok vydání:	2017
Předmět:	Machine translation Computer science business.industry Artificial intelligence business computer.software_genre computer Natural language processing
Zdroj:	WMT Ding, S, Khayrallah, H, Koehn, P, Post, M, Kumar, G & Duh, K 2017, The JHU Machine Translation Systems for WMT 2017 . in Proceedings of the Conference on Machine Translation (WMT), Volume 2: Shared Task Papers . Copenhagen, Denmark, pp. 276-282, Second Conference on Machine Translation (WMT), Copenhagen, Denmark, 7/09/17 . < http://www.aclweb.org/anthology/W17-4724 >
DOI:	10.18653/v1/w17-4724
Popis:	This paper describes the Johns Hopkins University submissions to the sharedtranslation 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. Wealso performed neural rescoring of phrasebased systems for English-Turkish andEnglish-Finnish.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fde81ecda28a4964cd474cf1deaa3b43 https://doi.org/10.18653/v1/w17-4724 Zobrazit plný text záznamu