LINGUIST List 22.4400
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Sat Nov 05 2011
Jobs: Language Resource Development, Post Doc, Laboratory EFL
Editor for this issue: Christy Bird
<christy linguistlist.org>
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1. Benoît Sagot ,
Language Resource Development for a Resource-Scarce Language Using Resources for a Closely Related Language: Postdoctoral Research Fellow, Laboratory Empirical Foundations of Linguistics, Paris, France
Message 1: Language Resource Development for a Resource-Scarce Language Using Resources for a Closely Related Language: Postdoctoral Research Fellow, Laboratory Empirical Foundations of Linguistics, Paris, France
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Date: 02-Nov-2011
From: Benoît Sagot <benoit.sagot inria.fr>
Subject: Language Resource Development for a Resource-Scarce Language Using Resources for a Closely Related Language: Postdoctoral Research Fellow, Laboratory Empirical Foundations of Linguistics, Paris, France
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University or Organization: Laboratory Empirical Foundations of Linguistics
Job Location: Paris, France
Web Address: http://www.labex-efl.org/
Job Rank: Post Doc
Specialty Areas: Computational Linguistics; Language Resource Development for a Resource-Scarce Language
Description:
Contact: Benoît Sagot, ALPAGE Contact email: benoit.sagot inria.fr University: University Paris 7 Job rank: Postdoctoral researcher Duration: 12 months, starting june or sept 2012 Salary: 24,000 EUR/year Keywords: language resources, machine learning, computational morphology, POS tagging Application deadline: 2012/04/10 Application email: benoit.sagot inria.fr Application reference: EFL-LR2.2 This position is offered within the 10-year project "Empirical foundations of linguistics" that started in 2011 as part of the strand "Language resources". The successful candidate will investigate how the development of language resources can be speeded up when dealing with a language that is closely related to another language for which the corresponding resources are available. The language resources involved include in the first place morphological resources and POS-annotated corpora, but also syntactic or semantic lexical resources and others. Dedicated automatic or semi- automatic techniques will be designed, implemented, then applied and evaluated on various language pairs. Candidates should hold a doctoral degree in Computational Linguistics or a related area. Requirements include: (i) a solid theoretical background and practical experience in quantitative methods in computational linguistics; skills in machine learning, automatic translation and language resource development will be particularly appreciated (ii) good programming skills; and (iii) a strong motivation and proven ability to work and publish collaboratively Please send an updated CV (with list of publications), the names and email addresses of 2 referees, and the website where publications can be found.
Application Deadline: 10-Apr-2012
Email Address for Applications: benoit.sagot inria.fr
Contact Information:
Benoît Sagot
Email: benoit.sagot inria.fr
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