Summary of the paper

Title Word Sense-Aware Machine Translation: Including Senses as Contextual Features for Improved Translation Models
Authors Steven Neale, Luís Gomes, Eneko Agirre, Oier Lopez de Lacalle and António Branco
Abstract 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.
Topics Machine Translation, SpeechToSpeech Translation, Word Sense Disambiguation, Statistical and Machine Learning Methods
Full paper Word Sense-Aware Machine Translation: Including Senses as Contextual Features for Improved Translation Models
Bibtex @InProceedings{NEALE16.1078,
  author = {Steven Neale and Luís Gomes and Eneko Agirre and Oier Lopez de Lacalle and António Branco},
  title = {Word Sense-Aware Machine Translation: Including Senses as Contextual Features for Improved Translation Models},
  booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)},
  year = {2016},
  month = {may},
  date = {23-28},
  location = {Portoro┼ż, Slovenia},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Sara Goggi and Marko Grobelnik and Bente Maegaard and Joseph Mariani and Helene Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  address = {Paris, France},
  isbn = {978-2-9517408-9-1},
  language = {english}
 }
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