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LIUM Machine Translation Systems for WMT17 News Translation Task
July 14, 2017 ยท Declared Dead ยท ๐ Conference on Machine Translation
"No code URL or promise found in abstract"
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Authors
Mercedes Garcรญa-Martรญnez, Ozan Caglayan, Walid Aransa, Adrien Bardet, Fethi Bougares, Loรฏc Barrault
arXiv ID
1707.04499
Category
cs.CL: Computation & Language
Citations
15
Venue
Conference on Machine Translation
Last Checked
4 months ago
Abstract
This paper describes LIUM submissions to WMT17 News Translation Task for English-German, English-Turkish, English-Czech and English-Latvian language pairs. We train BPE-based attentive Neural Machine Translation systems with and without factored outputs using the open source nmtpy framework. Competitive scores were obtained by ensembling various systems and exploiting the availability of target monolingual corpora for back-translation. The impact of back-translation quantity and quality is also analyzed for English-Turkish where our post-deadline submission surpassed the best entry by +1.6 BLEU.
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