Add to ORKGThis 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
In this paper we describe the ADAPT Centre’s (Team ID: adapt-dcu) submissions to the WAT 2020 docume...
ACL materials are Copyright © 1963-2021 ACL; other materials are copyrighted by their respective cop...
A prerequisite for training corpus-based machine translation (MT) systems – either Statistical MT (S...
This paper presents the results of theWMT17 shared tasks, which included three machine translation ...
This paper describes the monomodal and multimodal Neural Machine Translation systems developed by LI...
This paper presents the results of the WMT17 shared tasks, which included three machine translation...
This paper describes the ADAPT Centre’s submissions to the WMT20 News translation shared task for En...
This paper presents the results of the premier shared task organized alongside the Conference on Ma...
This paper describes the University of Edinburgh’s submissions to the WMT17 shared news translation ...
This paper describes the ADAPT Centre submissions to WAT 2020 for the English-to-Odia translation ta...
Ozdemir O, Akin ES, Velioglu R, Dalyan T. A comparative study of neural machine translation models f...
This paper describes the University of Edinburgh’s phrase-based and syntax-based submissions to the ...
This paper presents the results of the premier shared task organized alongside the Conference on Mac...
This paper presents Adam Mickiewicz University's (AMU) submissions to the constrained track of the W...
This paper presents the results of the premier shared task organized alongside the Conference on Mac...
In this paper we describe the ADAPT Centre’s (Team ID: adapt-dcu) submissions to the WAT 2020 docume...
ACL materials are Copyright © 1963-2021 ACL; other materials are copyrighted by their respective cop...
A prerequisite for training corpus-based machine translation (MT) systems – either Statistical MT (S...
This paper presents the results of theWMT17 shared tasks, which included three machine translation ...
This paper describes the monomodal and multimodal Neural Machine Translation systems developed by LI...
This paper presents the results of the WMT17 shared tasks, which included three machine translation...
This paper describes the ADAPT Centre’s submissions to the WMT20 News translation shared task for En...
This paper presents the results of the premier shared task organized alongside the Conference on Ma...
This paper describes the University of Edinburgh’s submissions to the WMT17 shared news translation ...
This paper describes the ADAPT Centre submissions to WAT 2020 for the English-to-Odia translation ta...
Ozdemir O, Akin ES, Velioglu R, Dalyan T. A comparative study of neural machine translation models f...
This paper describes the University of Edinburgh’s phrase-based and syntax-based submissions to the ...
This paper presents the results of the premier shared task organized alongside the Conference on Mac...
This paper presents Adam Mickiewicz University's (AMU) submissions to the constrained track of the W...
This paper presents the results of the premier shared task organized alongside the Conference on Mac...
In this paper we describe the ADAPT Centre’s (Team ID: adapt-dcu) submissions to the WAT 2020 docume...
ACL materials are Copyright © 1963-2021 ACL; other materials are copyrighted by their respective cop...
A prerequisite for training corpus-based machine translation (MT) systems – either Statistical MT (S...