You are here

Automated Linguistic Analysis Revealing Misrepresentation and Messaging (ALARMM)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-10-M-0343
Agency Tracking Number: N10A-029-0564
Amount: $99,402.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N10A-T029
Solicitation Number: 2010.A
Solicitation Year: 2010
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-06-28
Award End Date (Contract End Date): 2011-09-02
Small Business Information
625 Mount Auburn Street
Cambridge, MA 02138
United States
DUNS: 115243701
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Terry Patten
 Principal Scientist
 (617) 491-3474
Business Contact
 Ninos Hanna
Title: Contract Specialist
Phone: (617) 491-3474
Research Institution
 Cornell University
 Mark B Fallon
Office of Sponsored Programs 373 Pine Tree Road
Ithaca, NY 14850
United States

 (607) 255-9817
 Nonprofit College or University

The proposed Automated Linguistic Analysis Revealing Misrepresentation and Messaging (ALARMM) system significantly advances the state of the art in detecting deception in unstructured data such as Web sites and chat messages. Our research focuses on automated techniques based on linguistic theory that can detect both misrepresentations and hidden messages. The proposed work draws on the field of sociolinguistics for advanced statistical techniques capable of leveraging a wide range of morphological, lexical, and grammatical features. Formal representations from sociolinguistics are used to capture generalizations across types of deceptive language. We propose innovative experiments to provide a quantitative, metrics-based evaluation of the proof-of-concept ALARMM system.

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

US Flag An Official Website of the United States Government