Job: XRCE Internship: Optimization and Sampling Techniques for Statistical Machine Translation

[Thierry Hamon]

Date: Thu, 15 Mar 2012 11:45:19 +0100
From: "Dymetman, Marc" <Marc.Dymetman at xrce.xerox.com>
Message-ID: <0D0D786CEF7A94479C15F85C85EA2A1701D672E0B7 at aigoual.xrce.xeroxlabs.com>
X-url: http://www-int.xrce.xerox.com/About-XRCE/Internships/Optimization-and-Sampling-Techniques-for-Statistical-Machine-Translation

See:
http://www-int.xrce.xerox.com/About-XRCE/Internships/Optimization-and-Sampling-Techniques-for-Statistical-Machine-Translation


Start Date : Around June 2012
Duration : 4-5 months

The MLDAT area (Machine Learning for Document Access and Translation) at
XRCE (Xerox Research Centre Europe) is opening an internship to pursue
its current research line in Optimization and Sampling Techniques for
Statistical Machine Translation.

XRCE has developed some algorithms, which combine optimization and
sampling in novel ways in order to perform inference and training for a
number of NLP tasks, in the presence of complex feature spaces.

We are looking for a motivated intern to pursue this line of work,
further implement these techniques and perform experiments in the
context of phrase-based and/or syntax-based translation.

The successful candidate should be enrolled in a graduate program, at
the Master or (preferably) PhD level, with focus on Machine Learning,
Optimization, Statistical NLP, or (ideally) Statistical Machine
Translation.

Strong programming skills (one or several of C/C++, Python, Java...) are
a requirement.

IMPORTANT. Priority will be given to students who are members of
institutions affiliated to the PASCAL-2 network of excellence. A partial
list of such institutions is available at:
http://pascallin2.ecs.soton.ac.uk/Network/Sites .

For further details, please contact Marc Dymetman
(marc.dymetman at xrce.xerox.com).

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