Sehda, Inc.

1153 Bordeaux Dr., , Suite 211
Sunnyvale, CA 94089
http://www.sehda.com
15 Employees

SBIR Award Summary

Total Number of Awards 5
Total Value of Awards $1.78MM
First Award Date 02/02/04
Most Recent Award Date 04/05/07

Key Personnel

Last Name Name Awards Contact
Ehsani Mr. Farzad Ehsani 5 Message
Kim Yookyung Kim 2 Message

5 Awards Won

Phase 1 SBIR

Agency: Air Force
Topic: AF071-041
Budget: 04/05/07 - 02/05/08

Current approaches to building speech translation systems require large amounts of data for building acoustic, language, and translation models. The data requirements lead to high costs and long lead times when building systems for new languages or domains. Sehda, Inc. proposes to dramatically reduce the time and cost to create two-way speech tr...

Phase 2 SBIR

Agency: National Science Foundation
Topic: 2006
Budget: 01/01/06 - 12/31/06

This Small Business Innovation Research (SBIR) Phase II project embodies an innovative approach to machine translation. The proposed model aims to overcome two important bottlenecks in the development of a high quality statistical machine translation (SMT) system: (1) inability to handle structural problems and (2) dependence on huge amounts of ...

Phase 2 SBIR

Agency: Office of the Secretary of Defense
Topic: OSD03-030
Budget: 01/25/05 - 01/25/07

Sehda's goal in the Information Retrieval realm is to substantially advance the state of the art by developing a facet based search model supported by a relational network which coheres to real world relationships and allows mining of the stored data in an efficient, meaningful way. Sehda's goal in this Phase II of this project is to develop ...

Phase 1 SBIR

Agency: National Science Foundation
Topic: 2005
Budget: 01/01/05 - 12/31/05

This Small Business Innovation Research (SBIR) Phase I project proffers an innovative approach to machine translation. The project model aims to overcome two important bottlenecks in the development of a high quality Statistical Machine Translation (SMT) system: (1) the inability to handle structural problems, and (2) dependence on huge amounts...

Phase 1 SBIR

Agency: Office of the Secretary of Defense
Topic: OSD03-030
Budget: 02/02/04 - 08/02/05

Sehda plans to separate relevant data from the irrelevant through a technique in which every document being processed would be marked automatically with contextual meta-data to characterize the genre, author, and information in the article. Application of Sehda's technology to the results of this categorization scheme should permit the automatic...