22.4506, Internships: Text/Corpus Linguistics; Computational Linguist; Palo Alto, U.S.

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LINGUIST List: Vol-22-4506. Thu Nov 10 2011. ISSN: 1069 - 4875.

Subject: 22.4506, Internships: Text/Corpus Linguistics; Computational Linguist; Palo Alto, U.S.

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1)
Date: 08-Nov-2011
From: Mohammad Shami [mohammad.shami at sap.com]
Subject: Text/Corpus Linguistics; Computational Linguist; Palo Alto, U.S.


-------------------------Message 1 ---------------------------------- 
Date: Thu, 10 Nov 2011 14:40:24
From: Mohammad Shami [mohammad.shami at sap.com]
Subject: Text/Corpus Linguistics; Computational Linguist; Palo Alto, U.S.

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University or Organization: Sap Labs
Department: Global Business Incubator
Web Address: http://www.sap.com

Type of Work: Nlp

Linguistic Field(s): Text/Corpus Linguistics

Duration: 01-Jan-2012 to 30-Jun-2012
Voluntary
Internship Location: Palo Alto, California, USA
Minimum Education Level: BA
Special Qualifications: Skills Required: 

- A degree in Computational Linguistics or Computer Science with Computational Linguistics knowledge
- Strong background in syntax and morphology 
- An understanding of Object Oriented programming and proficiency in Java.
- At least one data manipulation language (Perl preferred) 
- Strict adherence to formal, documented development processes 
- Fluency in English and excellent verbal and written communication skills 

Desired Skills/Pluses: 

- Masters degree involving Natural Language Processing or Computational linguistics will be highly valued 
- Knowledge of C++ 
- Knowledge of Linux OS and tools
- Experience with regex languages for NLP applications 
- Experience with developing or maintaining modules for human languages analysis 


Description:
Working on site in our Palo Alto office, you will be part of a team working on the Business Content project within the SAP Global Business Incubator. The project aims at providing live state-of-the-art predictive analytics using multiple sources of business data. 
You will be primarily responsible for building and testing our supplier risk text analysis module, a powerful entity and fact extraction application that enables us to navigate huge volumes of unstructured text in order to highlight emerging risks in the supplier networks of our customers. 
Accordingly, you will be responsible for creation, maintenance and augmentation of fact-extraction rules and test cases, working on the overall analysis engine as needed. You will also be responsible for building a testing mechanism that accounts for precision, recall, and system throughput.

Application Deadline: Open until filled.

Contact Information:
	Mr Mohammad Shami 
	Email: mohammad_d_o_t_shami at sap.com




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