Search Results for author: Ricardo Rei

Found 15 papers, 11 papers with code

Quality-Aware Decoding for Neural Machine Translation

1 code implementation2 May 2022 Patrick Fernandes, António Farinhas, Ricardo Rei, José G. C. de Souza, Perez Ogayo, Graham Neubig, André F. T. Martins

Despite the progress in machine translation quality estimation and evaluation in the last years, decoding in neural machine translation (NMT) is mostly oblivious to this and centers around finding the most probable translation according to the model (MAP decoding), approximated with beam search.

Machine Translation Translation

Onception: Active Learning with Expert Advice for Real World Machine Translation

1 code implementation9 Mar 2022 Vânia Mendonça, Ricardo Rei, Luisa Coheur, Alberto Sardinha

Moreover, since we not know in advance which query strategy will be the most adequate for a certain language pair and set of Machine Translation models, we propose to dynamically combine multiple strategies using prediction with expert advice.

Active Learning Machine Translation +1

MT-Telescope: An interactive platform for contrastive evaluation of MT systems

no code implementations ACL 2021 Ricardo Rei, Ana C Farinha, Craig Stewart, Luisa Coheur, Alon Lavie

We present MT-Telescope, a visualization platform designed to facilitate comparative analysis of the output quality of two Machine Translation (MT) systems.

Machine Translation Translation

Multilingual Email Zoning

1 code implementation EACL 2021 Bruno Jardim, Ricardo Rei, Mariana S. C. Almeida

The segmentation of emails into functional zones (also dubbed email zoning) is a relevant preprocessing step for most NLP tasks that deal with emails.

Domain Adaptation

Unbabel's Participation in the WMT20 Metrics Shared Task

1 code implementation29 Oct 2020 Ricardo Rei, Craig Stewart, Catarina Farinha, Alon Lavie

Overall, our systems achieve strong results for all language pairs on previous test sets and in many cases set a new state-of-the-art.

COMET: A Neural Framework for MT Evaluation

1 code implementation EMNLP 2020 Ricardo Rei, Craig Stewart, Ana C Farinha, Alon Lavie

We present COMET, a neural framework for training multilingual machine translation evaluation models which obtains new state-of-the-art levels of correlation with human judgements.

Language Modelling Machine Translation +1

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