22.4400, Jobs: Language Resource Development, Post Doc, Laboratory EFL

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LINGUIST List: Vol-22-4400. Sat Nov 05 2011. ISSN: 1069 - 4875.

Subject: 22.4400, Jobs: Language Resource Development, Post Doc, Laboratory EFL

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1)
Date: 02-Nov-2011
From: Benoît Sagot [benoit.sagot at 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


-------------------------Message 1 ---------------------------------- 
Date: Sat, 05 Nov 2011 11:58:13
From: Benoît Sagot [benoit.sagot at 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 at 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 at 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 at inria.fr 
Contact Information:
	Benoît Sagot 
	Email: benoit.sagot at inria.fr 




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