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Knowledge Triage for Military Leadership

Award Information
Agency: Department of Defense
Branch: Army
Contract: W74V8H-04-P-0105
Agency Tracking Number: O032-2036
Amount: $99,994.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: OSD03-030
Solicitation Number: 2003.2
Timeline
Solicitation Year: 2003
Award Year: 2004
Award Start Date (Proposal Award Date): 2004-02-02
Award End Date (Contract End Date): 2005-08-02
Small Business Information
4940 Pearl East Circle, Suite 200
Boulder, CO 80301
United States
DUNS: 043412936
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Karen Lochbaum
 Senior Scientist
 (303) 545-9092
 kel@k-a-t.com
Business Contact
 Thomas Landauer
Title: President
Phone: (303) 545-9092
Email: landauer@k-a-t.com
Research Institution
N/A
Abstract

Intelligence for combating terrorism is made difficult by the hundreds of minor languages and dialects potentially spoken by terrorists. There is a pressing need for automated methods that greatly reduce reliance on scarce bilingual analysts and automatic translation systems. The project objective is to develop a computer-based tool that will allow military leaders and intelligence analysts to quickly and accurately select only important documents for translation and/or analysis. An important aspect of the problem is known as Knowledge Triage. For example, in Iraq, over one million pages of paper documents, the majority in poorly handwritten Arabic script, have been collected, Most of this is almost certainly of no intelligence value, while some may contains hints, and a very small number "smoking gun" information. An existing cross language retrieval technique based on Latent Semantic Analysis (LSA) is capable of performing the triage, but only if given text in electronic form. In the proposed system a target language speaker would read paper documents into a speech recognizer, and the system would assess their possible relevance and summarizes their contents in English keywords. The system is robust to speech recognition errors and can be adapted to a new language in a few weeks.

* Information listed above is at the time of submission. *

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