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W5170124C0020

Definitive Contract

Overview

Government Description
Monthly Status Report
Awardee
Awarding / Funding Agency
Place of Performance
El Segundo, CA 90245 United States
Pricing
Fixed Price
Set Aside
Small Business Set Aside - Total (SBA)
Extent Competed
Full And Open Competition After Exclusion Of Sources
Related Opportunity
None
Inferlink was awarded Definitive Contract W5170124C0020 (W51701-24-C-0020) for Monthly Status Report worth up to $250,000 by the Department of the Army in January 2024. The contract has a duration of 6 months and was awarded with a Small Business Total set aside with NAICS 541715 and PSC AC12 via direct negotiation acquisition procedures with 46 bids received.

SBIR Details

Research Type
Small Business Innovation Research Program (SBIR) Phase I
Title
Adaptive Translation Engine for Low Resource Languages
Abstract
The Indo-Pacific region boasts immense linguistic diversity. However, many of these languages lack support from commercial translation services, with NLP advances primarily focused on languages from affluent societies. Notably, most commercial services perform high-level analyses post-translation, as opposed to the original language. In collaboration with USC s Information Sciences Institution (ISI), the goal is to use and extend the Massively Multilingual Neural Machine Translation (NMT) system to cater to low-resource languages in the Indo-Pacific region. This NMT system, developed previously by the ISI team with DARPA funding, offers translation capabilities for over six hundred languages into English. In this project we propose to: 1) Deploy the NMT model for many-to-English multilingual translation for low-resource languages; 2) Fine-tune the NMT model for two specific languages: Tok Pisin (TPI) and Buginese (BUG) using limited training data. Improvements will be assessed by comparing BLEU scores; 3) Develop a web-based user interface to allow users to adapt the parent model for any low-resource language, showcasing its stackability. The research team comprises leading figures in AI and NLP, with vast experience in government and commercial projects. InferLink, the research firm, has a strong track record of turning SBIR research into commercial technology, having spawned several startups from government-funded tech in recent years. Our team members from ISI have a great deal of published research, as well as commercial and open source products in the areas related to this proposal, including machine translation, multilingualism, and NLP in general.
Research Objective
The goal of phase I is to establish the technical merit, feasibility, and commercial potential of proposed R&D efforts and determine the quality of performance of the small business awardee organization.
Topic Code
A234-021
Agency Tracking Number
A234-021-1186
Solicitation Number
23.4
Contact
Jeffrey Micher

Status
(Closed)

Last Modified 1/10/25
Period of Performance
1/24/24
Start Date
7/24/24
Current End Date
7/24/24
Potential End Date
100% Complete

Obligations
$250.0K
Total Obligated
$250.0K
Current Award
$250.0K
Potential Award
100% Funded

Award Hierarchy

Definitive Contract

W5170124C0020

Subcontracts

0

Activity Timeline

Interactive chart of timeline of amendments to W5170124C0020

People

Suggested agency contacts for W5170124C0020

Competition

Number of Bidders
46
Solicitation Procedures
Negotiated Proposal/Quote
Evaluated Preference
None
Commercial Item Acquisition
Commercial Item Procedures Not Used
Simplified Procedures for Commercial Items
No

Other Categorizations

Subcontracting Plan
Plan Not Required
Cost Accounting Standards
Exempt
Business Size Determination
Small Business
Defense Program
None
DoD Claimant Code
None
IT Commercial Item Category
Not Applicable
Awardee UEI
M8KCZYW54M17
Awardee CAGE
67J74
Agency Detail
Awarding Office
W51701 W27P USA ACQ SPT CTR
Funding Office
W51701
Created By
chelsea.v.campbell2.civ@army.mil
Last Modified By
dod_closeout
Approved By
gwen.e.meadows.civ@army.mil

Legislative

Legislative Mandates
None Applicable
Performance District
CA-36
Senators
Dianne Feinstein
Alejandro Padilla
Representative
Ted Lieu
Modified: 1/10/25