Luís Gomes


2020

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A Shared Task of a New, Collaborative Type to Foster Reproducibility: A First Exercise in the Area of Language Science and Technology with REPROLANG2020
António Branco | Nicoletta Calzolari | Piek Vossen | Gertjan Van Noord | Dieter van Uytvanck | João Silva | Luís Gomes | André Moreira | Willem Elbers
Proceedings of the 12th Language Resources and Evaluation Conference

n this paper, we introduce a new type of shared task — which is collaborative rather than competitive — designed to support and fosterthe reproduction of research results. We also describe the first event running such a novel challenge, present the results obtained, discussthe lessons learned and ponder on future undertakings.

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Infrastructure for the Science and Technology of Language PORTULAN CLARIN
António Branco | Amália Mendes | Paulo Quaresma | Luís Gomes | João Silva | Andrea Teixeira
Proceedings of the 1st International Workshop on Language Technology Platforms

This paper presents the PORTULAN CLARIN Research Infrastructure for the Science and Technology of Language, which is part of the European research infrastructure CLARIN ERIC as its Portuguese national node, and belongs to the Portuguese National Roadmap of Research Infrastructures of Strategic Relevance. It encompasses a repository, where resources and metadata are deposited for long-term archiving and access, and a workbench, where Language Technology tools and applications are made available through different modes of interaction, among many other services. It is an asset of utmost importance for the technological development of natural languages and for their preparation for the digital age, contributing to ensure the citizenship of their speakers in the information society.

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ELRI: A Decentralised Network of National Relay Stations to Collect, Prepare and Share Language Resources
Thierry Etchegoyhen | Borja Anza Porras | Andoni Azpeitia | Eva Martínez Garcia | José Luis Fonseca | Patricia Fonseca | Paulo Vale | Jane Dunne | Federico Gaspari | Teresa Lynn | Helen McHugh | Andy Way | Victoria Arranz | Khalid Choukri | Hervé Pusset | Alexandre Sicard | Rui Neto | Maite Melero | David Perez | António Branco | Ruben Branco | Luís Gomes
Proceedings of the 1st International Workshop on Language Technology Platforms

We describe the European Language Resource Infrastructure (ELRI), a decentralised network to help collect, prepare and share language resources. The infrastructure was developed within a project co-funded by the Connecting Europe Facility Programme of the European Union, and has been deployed in the four Member States participating in the project, namely France, Ireland, Portugal and Spain. ELRI provides sustainable and flexible means to collect and share language resources via National Relay Stations, to which members of public institutions can freely subscribe. The infrastructure includes fully automated data processing engines to facilitate the preparation, sharing and wider reuse of useful language resources that can help optimise human and automated translation services in the European Union.

2016

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First Steps Towards Coverage-Based Sentence Alignment
Luís Gomes | Gabriel Pereira Lopes
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

In this paper, we introduce a coverage-based scoring function that discriminates between parallel and non-parallel sentences. When plugged into Bleualign, a state-of-the-art sentence aligner, our function improves both precision and recall of alignments over the originally proposed BLEU score. Furthermore, since our scoring function uses Moses phrase tables directly we avoid the need to translate the texts to be aligned, which is time-consuming and a potential source of alignment errors.

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Word Sense-Aware Machine Translation: Including Senses as Contextual Features for Improved Translation Models
Steven Neale | Luís Gomes | Eneko Agirre | Oier Lopez de Lacalle | António Branco
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

Although it is commonly assumed that word sense disambiguation (WSD) should help to improve lexical choice and improve the quality of machine translation systems, how to successfully integrate word senses into such systems remains an unanswered question. Some successful approaches have involved reformulating either WSD or the word senses it produces, but work on using traditional word senses to improve machine translation have met with limited success. In this paper, we build upon previous work that experimented on including word senses as contextual features in maxent-based translation models. Training on a large, open-domain corpus (Europarl), we demonstrate that this aproach yields significant improvements in machine translation from English to Portuguese.

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SMT and Hybrid systems of the QTLeap project in the WMT16 IT-task
Rosa Gaudio | Gorka Labaka | Eneko Agirre | Petya Osenova | Kiril Simov | Martin Popel | Dieke Oele | Gertjan van Noord | Luís Gomes | João António Rodrigues | Steven Neale | João Silva | Andreia Querido | Nuno Rendeiro | António Branco
Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers

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English-Portuguese Biomedical Translation Task Using a Genuine Phrase-Based Statistical Machine Translation Approach
José Aires | Gabriel Lopes | Luís Gomes
Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers

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First Steps Towards Coverage-Based Document Alignment
Luís Gomes | Gabriel Pereira Lopes
Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers

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Using Bilingual Segments in Generating Word-to-word Translations
Kavitha Mahesh | Gabriel Pereira Lopes | Luís Gomes
Proceedings of the Sixth Workshop on Hybrid Approaches to Translation (HyTra6)

We defend that bilingual lexicons automatically extracted from parallel corpora, whose entries have been meanwhile validated by linguists and classified as correct or incorrect, should constitute a specific parallel corpora. And, in this paper, we propose to use word-to-word translations to learn morph-units (comprising of bilingual stems and suffixes) from those bilingual lexicons for two language pairs L1-L2 and L1-L3 to induce a bilingual lexicon for the language pair L2-L3, apart from also learning morph-units for this other language pair. The applicability of bilingual morph-units in L1-L2 and L1-L3 is examined from the perspective of pivot-based lexicon induction for language pair L2-L3 with L1 as bridge. While the lexicon is derived by transitivity, the correspondences are identified based on previously learnt bilingual stems and suffixes rather than surface translation forms. The induced pairs are validated using a binary classifier trained on morphological and similarity-based features using an existing, automatically acquired, manually validated bilingual translation lexicon for language pair L2-L3. In this paper, we discuss the use of English (EN)-French (FR) and English (EN)-Portuguese (PT) lexicon of word-to-word translations in generating word-to-word translations for the language pair FR-PT with EN as pivot language. Generated translations are filtered out first using an SVM-based FR-PT classifier and then are manually validated.

2015

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New Language Pairs in TectoMT
Ondřej Dušek | Luís Gomes | Michal Novák | Martin Popel | Rudolf Rosa
Proceedings of the Tenth Workshop on Statistical Machine Translation

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Bootstrapping a hybrid deep MT system
João Silva | João Rodrigues | Luís Gomes | António Branco
Proceedings of the Fourth Workshop on Hybrid Approaches to Translation (HyTra)

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First Steps in Using Word Senses as Contextual Features in Maxent Models for Machine Translation
Steven Neale | Luís Gomes | António Branco
Proceedings of the 1st Deep Machine Translation Workshop

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Machine Translation for Multilingual Troubleshooting in the IT Domain: A Comparison of Different Strategies
Sanja Štajner | João Rodrigues | Luís Gomes | António Branco
Proceedings of the 1st Deep Machine Translation Workshop

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Bilingually motivated segmentation and generation of word translations using relatively small translation data sets
Kavitha Karimbi Mahesh | Luís Gomes | José Lopes
Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation: Posters

2002

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Nexing Corpus: a corpus of verbal protocols on syllogistic reasoning
António Branco | José Leitão | João Silva | Luís Gomes
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02)