SBIR/STTR Research Award
Multi-Lingual Semantic Author Identification (MLSAI)
Award amount
$79,939Program and phase
SBIR · Phase IAward year
2012Award details
- Awarding agency
- Department of Defense
- Branch
- Navy
- Recipient company
- BCL Technologies
- Proposal award date
- 2012-05-07
- Contract end date
- Not reported
- UEI
- DA88J769Q1Z1
- Solicitation number
- 2012.1
- Topic code
- N121-080
Research abstract
n its SBIR Phase I work, BCL Technologies, using deep syntactic-semantic feature analysis of the text, will research and develop a baseline proof-of-concept system that would (1) extract syntactic, semantic and cognitive features from the text using SVM classifier techniques; and (2) identify the author of the text based on the extracted features in unstructured text on the internet (blog posts and speech transcript) in Arabic (Phase I) and Pashto (Phase I Option).
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- PDF To OLAP System (PTOS)
- Multi-lingual Social-media Crowd Manipulation Detector (MSCMD)
- DFARS Contract Automation System (DCAS)
- Multi-lingual Social-media Crowd Manipulation Detector (MSCMD)
- SEMANTIC BIBLIOMETRIC SYSTEM FOR IMPROVING HEALTHCARE RESEARCH
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Author and Group Insight through Linguistic Expression (AGILE)
- Ghost Writer: Finding the Man behind the Pen
- Author and Group Insight through Linguistic Expression (AGILE)
- Detecting Identity of Authors from Lexical Elements and Cognitive Topics (DIALECT)
Research funding history
23 SBIR/STTR records share this UEI (1992–2020). Reported award amounts total $5,432,120. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense, National Science Foundation, Department of Health and Human Services