Alberto Sanchis


2012

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PRHLT Submission to the WMT12 Quality Estimation Task
Jesús González Rubio | Alberto Sanchis | Francisco Casacuberta
Proceedings of the Seventh Workshop on Statistical Machine Translation

2011

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Improving On-line Handwritten Recognition using Translation Models in Multimodal Interactive Machine Translation
Vicent Alabau | Alberto Sanchis | Francisco Casacuberta
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

2007

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Using word posterior probabilities in lattice translation
Vicente Alabau | Alberto Sanchis | Francisco Casacuberta
Proceedings of the Fourth International Workshop on Spoken Language Translation

In this paper we describe the statistical machine translation system developed at ITI/UPV, which aims especially at speech recognition and statistical machine translation integration, for the evaluation campaign of the International Workshop on Spoken Language Translation (2007). The system we have developed takes advantage of an improved word lattice representation that uses word posterior probabilities. These word posterior probabilities are then added as a feature to a log-linear model. This model includes a stochastic finite-state transducer which allows an easy lattice integration. Furthermore, it provides a statistical phrase-based reordering model that is able to perform local reorderings of the output. We have tested this model on the Italian-English corpus, for clean text, 1-best ASR and lattice ASR inputs. The results and conclusions of such experiments are reported at the end of this paper.

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Improving speech-to-speech translation using word posterior probabilities
Vicente Alabau | Alberto Sanchis | Francisco Casacuberta
Proceedings of Machine Translation Summit XI: Papers

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Estimation of confidence measures for machine translation
Alberto Sanchis | Alfons Juan | Enrique Vidal
Proceedings of Machine Translation Summit XI: Papers

2004

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Confidence Estimation for Machine Translation
John Blatz | Erin Fitzgerald | George Foster | Simona Gandrabur | Cyril Goutte | Alex Kulesza | Alberto Sanchis | Nicola Ueffing
COLING 2004: Proceedings of the 20th International Conference on Computational Linguistics

2001

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A morphological analyser for machine translation based on finite-state transducers
Alberto Sanchis | David Picó | Joan Miquel del Val | Ferran Fabregat | Jesús Tomás | Moisés Pastor | Francisco Casacuberta | Enrique Vidal
Proceedings of Machine Translation Summit VIII

A finite-state, rule-based morphological analyser is presented here, within the framework of machine translation system TAVAL. This morphological analyser introduces specific features which are particularly useful for translation, such as the detection and morphological tagging of word groups that act as a single lexical unit for translation purposes. The case where words in one such group are not strictly contiguous is also covered. A brief description of the Spanish-to-Catalan and Catalan-to-Spanish translation system TAVAL is given in the paper.