Julien Bourdaillet

Learn More
We describe our system for the translation task of WMT 2010. This system, developed for the English-French and French-English directions, is based on Moses and was trained using only the resources supplied for the workshop. We report experiments to enhance it with out-of-domain parallel corpora sub-sampling, N-best list post-processing and a French(More)
Despite the impressive amount of recent studies devoted to improving the state of the art of Machine Translation (MT), Computer Assisted Translation (CAT) tools remain the preferred solution of human translators when publication quality is of concern. In this paper, we present our perspectives on improving the commercial bilingual concor-dancer TransSearch,(More)
Crowdsourcing translation tasks typically face issues due to poor quality and spam translations. We propose a novel method for generating large multilingual text corpora leveraging Tournament Selection and Lattice-Based String Alignment without requiring expert involvement or Gold data. We use crowdsourcing for gathering a set of candidate translations of a(More)
This paper presents a joint work between artificial intelligence and literary studies. As part of the humanities, textual genetic criticism deals with writ-ers' rewriting processes. By studying drafts and manuscripts issued from these processes, the genesis of the text is discovered. When draft comparison is done manually, it requires a huge amount of work.(More)
This chapter is a contribution to the study of formal ontologies. It addresses the problem of atypical entities in ontologies. The authors propose a new model of knowledge representation by combining ontologies and topology. In order to represent atypical entities in ontologies, the four topological operators of interior, exterior, border and closure are(More)