19.1955, Jobs: Dutch & NLP: Lang Technologist, Institute for Dutch Lexicology

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LINGUIST List: Vol-19-1955. Fri Jun 20 2008. ISSN: 1068 - 4875.

Subject: 19.1955, Jobs: Dutch & NLP: Lang Technologist, Institute for Dutch Lexicology

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1)
Date: 18-Jun-2008
From: Katrien Depuydt < secretariaat at inl.nl >
Subject: Dutch & Natural Language Processing: Language Technologist, Institute for Dutch Lexicology, Leiden, Netherlands

 

	
-------------------------Message 1 ---------------------------------- 
Date: Fri, 20 Jun 2008 10:13:21
From: Katrien Depuydt [secretariaat at inl.nl]
Subject: Dutch & Natural Language Processing: Language Technologist, Institute for Dutch Lexicology, Leiden, Netherlands
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University or Organization: Institute for Dutch Lexicology 
Department: Language Database Department
Job Location: Leiden, Netherlands 
Web Address: http://www.inl.nl

Job Rank: Language Technologist  

Specialty Areas: Computational Linguistics; Natural Language Processing

Required Language(s): Dutch (nld)

Description:

The Institute for Dutch Lexicology has a vacancy for an experienced
Language Technologist. Your primary task will be to help develop language
technology to improve the accessibility of historical documents for IMPACT.
Work within the scope of other INL projects will also be among your
responsibilities.

IMPACT is a new European research project in which the INL is participating
and which started on 1 January 2008. It is an 'Integrated Project' in which
several national libraries and research institutes as well as two
commercial partners are working together. The main purpose of IMPACT is to
significantly improve the accessibility of historical documents. 

In order to achieve this, IMPACT has set itself the following tasks:
1. Current OCR software is not suitable for mass digitisation of historical
documents. Within the project, OCR software will be developed that will
significantly improve the accuracy of state-of-the-art systems, allowing
for the first time reliable full text mass digitisation of historical
documents.
2. Information in historical documents is not easily accessed by modern
users because of the historical language barrier. Within the project,
historical lexica and linguistic processing tools will be developed that
will enable enriched indexing to provide access to historical material with
contemporary query techniques.

Tasks:
Your IMPACT-related tasks will concern the development of a toolbox for the
building and deployment of historical lexica. Both tools and lexica will be
used for the enhancement of OCR results and for better retrieval in
historical text material; recognition of Named Entities plays an important
role in this. You will be working on both the implementation and the design
of algorithms. Other tasks will be related to data processing and tools for
data processing.

Profile:
- relevant academic background in computational linguistics, computer
science or applied mathematics
- demonstrable knowledge of and experience with the development and
implementation of machine learning, statistic and other computerlinguistic
algorithms
- demonstrable experience with software development. Sound knowledge of C
and C++ is required.
- ability to work under pressure, as part of a team that must achieve good
results within a short period of time 

Preferably you have:
- experience with Named Entity Processing and knowledge of OCR techniques 
- a PhD or other research experience
- knowlegde of and experience with historical text material.

Offer:
An INL contract for two years. The salary scale indicated for this job is -
dependent upon various factors - either 10 or 11, with a maximum of €
4.270, - gross per month on the basis of a 38-hour week. In addition you
will be entitled to 42 days holiday per annum plus a holiday allowance,
according to the Cao-onderzoekinstellingen.


Application Deadline: 30-Jun-2008 (Open until filled)
Mailing Address for Applications:
	Dr. Jeannine Beeken 
	P.O. Box 9515 
	Leiden 2300 RA 
	Netherlands  
Email Address for Applications: secretariaat at inl.nl 
Contact Information:
	Lic. Katrien Depuydt 
	Email: depuydt at inl.nl 
	Phone: 0031715272479 





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