deepQuest-py: large and distilled models for quality estimation

Autor: Fernando Alva-Manchego, Abiola Obamuyide, Amit Gajbhiye, Frédéric Blain, Marina Fomicheva, Lucia Specia

Publikováno v: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

We introduce deepQuest-py, a framework for training and evaluation of large and light-weight models for Quality Estimation (QE). deepQuest-py provides access to (1) state-of-the-art models based on pre-trained Transformers for sentence-level and word

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1a4d9cdf219e42d2832440618010ac6
https://orca.cardiff.ac.uk/id/eprint/147257/1/2021.emnlp-demo.42.pdf

Backtranslation Feedback Improves User Confidence in MT, Not Quality

Autor: Robin L. Hill, Michal Novák, Marina Fomicheva, Matúš Žilinec, Lisa Yankovskaya, Lucia Specia, Vilém Zouhar, Mateo Obregón, Ondřej Bojar, Frédéric Blain

Publikováno v: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
NAACL-HLT

Translating text into a language unknown to the text's author, dubbed outbound translation, is a modern need for which the user experience has significant room for improvement, beyond the basic machine translation facility. We demonstrate this by sho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::165a146e00bc6b689d5e6a715ccd7ecc

Sheffield Submissions for the WMT18 Quality Estimation Shared Task

Autor: Lucia Specia, Carolina Scarton, Julia Ive, Frédéric Blain

Publikováno v: WMT (shared task)

In this paper we present the University of Sheffield submissions for the WMT18 Quality Estimation shared task. We discuss our submissions to all four sub-tasks, where ours is the only team to participate in all language pairs and variations (37 combi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::943d042833cd4260c362d98a2fc53589
https://doi.org/10.18653/v1/w18-6463

Guiding Neural Machine Translation Decoding with External Knowledge

Autor: Marcello Federico, Matteo Negri, Frédéric Blain, Rajen Chatterjee, Marco Turchi, Lucia Specia

Publikováno v: WMT

© 2017 The Authors. Published by Association for Computational Linguistics. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: http://d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e7178348fab3dc7e807a078c337f0a8d
https://doi.org/10.18653/v1/w17-4716

The QT21 Combined Machine Translation System for English to Latvian

Autor: Ondrej Bojar, Frédéric Blain, Marcis Pinnis, Philip Williams, Wilker Aziz, Jasmijn Bastings, Alex Waibel, François Yvon, Ngoc-Quan Pham, Jan-Thorsten Peter, Franck Burlot, Lucia Specia, Miguel Rios, Hermann Ney, Jan Niehues, Valters Sics

Publikováno v: WMT
Scopus-Elsevier
Peter, J-T, Ney, H, Bojar, O, Pham, N-Q, Niehues, J, Waibel, A, Burlot, F, Yvon, F, Pinnis, M, Sics, V, Bastings, J, Rios, M, Williams, P, Blain, F & Specia, L 2017, The QT21 Combined Machine Translation System for English to Latvian . in Proceedings of the Second Conference on Machine Translation, Volume 2: Shared Task Papers . pp. 348-357, Second Conference on Machine Translation, Copenhagen, Denmark, 7/09/17 . https://doi.org/10.18653/v1/W17-4734

This paper describes the joint submis- sion of the QT21 projects for the English → Latvian translation task of the EMNLP 2017 Second Conference on Ma- chine Translation (WMT 2017). The sub- mission is a system combination which combines seven diffe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ef119e780b7856048db3ed59f1e9797
https://doi.org/10.18653/v1/w17-4734