Jean-Baptiste Fouet

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We describe an open-source soware for minimum error rate training (MERT) for statistical machine translation (SMT). is was implemented within the Moses toolkit, although it is essentially standsalone, with the aim of replacing the existing implementation with a cleaner, more flexible design, in order to facilitate further research in weight optimisation.(More)
This paper describes an initial version of a general purpose French/English statistical machine translation system. The main features of this system are the open-source Moses de-coder, the integration of a bilingual dictionary and a continuous space target language model. We analyze the performance of this system on the test data of the WMT'08 evaluation.
  • R Schaller, F Mila, Directeurs T Giamarchi, F De Thèse Dr, Becca, Prof C Gros +12 others
  • 2007
PAR ingénieur physicien diplômé EPF de nationalité suisse et originaire de Hohenrain (LU) acceptée sur proposition du jury: Abstract The discovery of high-T c superconductivity in the cuprates, and the observation that strong correlations are important in connection with these compounds has led to a tremendous interest in understanding the physics of(More)
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