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The TALP-UPC approach to system selection: ASIYA features and pairwise classification using random forests

Author
Formiga, L.; Gonzalez, M.; Barron-Cedeño, A.; Fonollosa, José A. R.; Marquez, L.
Type of activity
Presentation of work at congresses
Name of edition
Eight Workshop on Statistical Machine Translation
Date of publication
2013
Presentation's date
2013-08-08
Book of congress proceedings
Proceedings of the Eighth Workshop on Statistical Machine Translation
First page
359
Last page
364
Repository
http://hdl.handle.net/2117/21590 Open in new window
Abstract
This paper describes the TALP-UPC participation in the WMT’13 Shared Task on Quality Estimation (QE). Our participation is reduced to task 1.2 on System Selection. We used a broad set of features (86 for German-to-English and 97 for English-to-Spanish) ranging from standard QE features to features based on pseudo-references and semantic similarity. We approached system selection by means of pairwise ranking decisions. For that, we learned Random Forest classifiers especially tailored for the p...
Citation
Formiga, L. [et al.]. The TALP-UPC approach to system selection: ASIYA features and pairwise classification using random forests. A: Workshop on Statistical Machine Translation. "Proceedings of the Eighth Workshop on Statistical Machine Translation". Nice: 2013, p. 359-364.
Group of research
GPLN - Natural Language Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
TALP - Centre for Language and Speech Technologies and Applications
VEU - Speech Processing Group

Participants

  • Formiga Fanals, Lluis  (author and speaker )
  • Gonzalez Bermudez, Meritxell  (author and speaker )
  • Barron Cedeño, Luis Alberto  (author and speaker )
  • Rodríguez Fonollosa, José Adrián  (author and speaker )
  • Màrquez Villodre, Lluís  (author and speaker )