Palmira Marrafa


2014

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LexTec — a rich language resource for technical domains in Portuguese
Palmira Marrafa | Raquel Amaro | Sara Mendes
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

The growing amount of available information and the importance given to the access to technical information enhance the potential role of NLP applications in enabling users to deal with information for a variety of knowledge domains. In this process, language resources are crucial. This paper presents Lextec, a rich computational language resource for technical vocabulary in Portuguese. Encoding a representative set of terms for ten different technical domains, this concept-based relational language resource combines a wide range of linguistic information by integrating each entry in a domain-specific wordnet and associating it with a precise definition for each lexicalization in the technical domain at stake, illustrative texts and information for translation into English.

2011

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WordNet.PT global – Extending WordNet.PT to Portuguese varieties
Palmira Marrafa | Raquel Amaro | Sara Mendes
Proceedings of the First Workshop on Algorithms and Resources for Modelling of Dialects and Language Varieties

2006

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Modeling Adjectives in Computational Relational Lexica
Palmira Marrafa | Sara Mendes
Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions

2004

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INQUER: A WordNet-based Question-Answering Application
Catarina Ribeiro | Ricardo Santos | João Correia | Rui Pedro Chaves | Palmira Marrafa
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)

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Semi-Automatic UNL Dictionary Generation Using WordNet.PT
Catarina Ribeiro | Ricardo Santos | Rui Pedro Chaves | Palmira Marrafa
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)

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Extending Wordnets To Implicit Information
Palmira Marrafa
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)

2001

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Quantitative evaluation of machine translation systems: sentence level
Palmira Marrafa | António Ribeiro
Workshop on MT Evaluation

This paper reports the first results of an on-going research on evaluation of Machine Translation quality. The starting point for this work was the framework of ISLE (the International Standards for Language Engineering), which provides a classification for evaluation of Machine Translation. In order to make a quantitative evaluation of translation quality, we pursue a more consistent, fine-grained and comprehensive classification of possible translation errors and we propose metrics for sentence level errors, specifically lexical and syntactic errors.

1996

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Subject-oriented and non Subject-oriented Long-distance Anaphora : an Integrated Approach
Antonio Branco | Palmira Marrafa
Proceedings of the 11th Pacific Asia Conference on Language, Information and Computation

1991

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Reversibility in a Constraint and Type based Logic Grammar: Application to Secondary Predication
Palmira Marrafa | Patrick Saint-Dizier
Reversible Grammar in Natural Language Processing