The Cross Language Technologies group at Xerox Research Centre (XRCE) in Grenoble, France, invites applications for an internship on the use of Textual Entailment to Statistical Machine Translation.
We are looking for preferably one (in this case the internship would be for 10 months ) or two interns (in this case each internship would last 5 months with the first starting at the beginning of 2009) to work on this topic under the supervision of XRCE researchers, and in collaboration with our partners. The ideal candidate will be a strong Master or Ph.D. student with background in statistical machine translation and/or statistical methods in NLP. The candidate will be fluent in C/C++ and/or Python. Knowledge and practice of Machine Learning models and tools will be a plus, as will be the previous acquaintance with work on Textual Entailment. For more information: http://www.xrce.xerox.com/internships/LS-MD.TE-SMT_2009.2008.html Contact: Lucia Specia: [EMAIL PROTECTED] Marc Dymetman: [EMAIL PROTECTED]
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