16.243, Jobs: Arabic/Text/Corpus Ling: Scientist, NY

[LINGUIST List]

LINGUIST List: Vol-16-243. Wed Jan 26 2005. ISSN: 1068 - 4875.

Subject: 16.243, Jobs: Arabic/Text/Corpus Ling: Scientist, NY

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===========================Directory==============================

1)
Date: 26-Jan-2005
From: Kim Helfrich < khelfrich at textwise.com >
Subject: Arabic/English/Text/Corpus Linguistics: Scientist, TextWise, NY, USA

	
-------------------------Message 1 ----------------------------------
Date: Wed, 26 Jan 2005 11:48:41
From: Kim Helfrich < khelfrich at textwise.com >
Subject: Arabic/English/Text/Corpus Linguistics: Scientist, TextWise, NY, USA


University or Organization: TextWise
Job Rank: Scientist
Specialty Areas: Computational Linguistics; Text/Corpus Linguistics; Translation
Required Language(s): Arabic, Standard (ABV)
                                   English (ENG)

Description:

[Updated reposting of #15.3440]

For over 10 years, TextWise has developed cutting-edge technology to analyze
unstructured text for government and commercial applications.  Join the CINDOR
team to extend our state-of-the-art cross-language information retrieval system
to Arabic. This position reports to the Director of Science.

Key Responsibilities include:
1. Optimize linguistic algorithms and custom toolkit for cross-language text mining.
2. Use toolkit to build an Arabic lexical database associated with Princeton
    WordNet.
3. Develop query disambiguation, translation, and optimization to target multiple
    search engines.
4. Measure precision/recall of the system and design new ways to improve
    accuracy.

Job Requirements:
1. Ph.D. (or M.S. with 2+ years commercial experience) in computational
    linguistics, computer science, or related area.
2. Strong knowledge and hands-on experience in:
- Natural Language Processing (NLP);
- Cross-Language Information Retrieval (CLIR);
- Text Mining;
- TREC evaluations;
- WordNet architecture and optimization;
- Java / Linux programming.
3. Native or near-native fluency in both English and Modern Standard Arabic, with
    linguistic knowledge of both.
4. Strong organizational skills.
5. Ability to work both independently and within an existing team.

Note:
We are also hiring scientists for our Semantic Signatures team to build the
world's best contextual advertising search engine (see
http://www.textwise.com/commercial).  MS/PhD in computer science; experience in
search engines, text mining, NLP, and statistical analysis.


Address for Applications:

	Kim Helfrich
	1100 Chase Square
	Rochester, NY 14604
	United States of America

Application Deadline: Open until filled.

Contact Information:

	Kim Helfrich
	Email: khelfrich at textwise.com
	Phone: 585-325-3555
	Website: http://www.textwise.com

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It is being posted as a service to the discipline.





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LINGUIST List: Vol-16-243