Linguist’s Ambiguity Tutor and Rehearsal System (LATARS)

Award Information
Agency:
Department of Defense
Branch:
Air Force
Amount:
$99,831.00
Award Year:
2006
Program:
SBIR
Phase:
Phase I
Contract:
FA8650-06-M-6682
Agency Tracking Number:
F061-026-3936
Solicitation Year:
2006
Solicitation Topic Code:
AF06-026
Solicitation Number:
2006.1
Small Business Information
BCL COMPUTERS
990 Linden Dr., Suite 203, Santa Clara, CA, 95050
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
848536975
Principal Investigator
 Hassan Alam
 President
 (408) 249-4126
 hassana@bcltechnologies.com
Business Contact
 Hassan Alam
Title: President
Phone: (408) 249-4126
Email: hassana@bcltechnologies.com
Research Institution
N/A
Abstract
BCL plans to research methods to develop Linguist's Ambiguity Tutor and Rehearsal System (LATARS) that trains US military personnel in a new language along with the subtleties of correct semantics of ambiguous, double meaning, and slang phrases. The overall approach will use COTS language specific NLP parsers, lexicons, semantic processing, thematic role assignment, semantic heuristics, single semantic representation and word sense disambiguation techniques to rapidly train systems for the subtleties mentioned above for multiple languages and environments. In its Phase I work, BCL will develop a prototype LATARS for the Arabic language. With the ongoing war against terrorism, understanding the subtleties of Arabic is a key requirement for U.S. military personnel deployed overseas. The prototype system will train on text from emails, chat rooms, voice transcriptions, memos and published documents that will be put in a document repository. At the end of the Phase I research BCL will evaluate the Arabic LATARS for disambiguation, and understanding of slang phrases. In Phase II BCL will work with the Air Force to develop a prototype LATARS for two additional languages. Possible languages of interest include those used by countries potentially working on WMD such as Farsi (Persian), Urdu/Hindi and Korean.

* information listed above is at the time of submission.

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