Opportunity Information: Apply for DARPA BAA 15 04

  • The DARPA Information Innovation Office in the science and technology and other research and development sector is offering a public funding opportunity titled "DARPA BAA 15 04 Low Resource Languages for Emergent Incidents (LORELEI)" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 12.910 Research and Technology Development.
  • This funding opportunity was created on Nov 19, 2014 and posted on Oct 30, 2014.
  • Applicants must submit their applications by Jan 9, 2015 The BAA Closing Date is January 9, 2014, at 1200pm Eastern Time. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
  • Eligible applicants include: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled Additional Information on Eligibility.
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Opportunity Summary:

DARPA BAA 15-04, titled Low Resource Languages for Emergent Incidents (LORELEI), is a Defense Advanced Research Projects Agency solicitation run through DARPA's Information Innovation Office that targets rapid-response human language technology for situations where an unexpected event occurs and the key language or dialect is one that has little existing data, tooling, or expert coverage. The central idea is to develop methods that let analysts and responders quickly make sense of communications and information streams in languages that are not well supported by conventional NLP pipelines, especially when time is critical and the operational context is evolving. DARPA frames this as research and development intended to produce major leaps in capability, not incremental tuning of existing systems.

The opportunity is positioned as science and technology research and development (CFDA 12.910) and is open to essentially any type of applicant entity (unrestricted eligibility), subject to any clarifications contained in the full announcement. DARPA indicates it may use multiple award instruments, including cooperative agreements, other transaction-type instruments, and procurement contracts, which signals that performers could be engaged under different management models depending on the nature and maturity of the proposed work and the government’s desired level of involvement. There is no cost sharing or matching requirement listed, so proposers are not expected to bring mandatory non-federal funds to be eligible.

Technically, the BAA emphasizes "rapid response" language technology aimed at low-resource conditions. In practice, that typically means being able to stand up usable language processing capabilities quickly when you do not have large labeled corpora, mature lexicons, robust speech recognizers, or high-quality machine translation systems for the language in question. It also implies operating under realistic constraints: sparse training data, limited time to collect new data, noisy real-world inputs (social media, SMS-like text, scanned documents, field reports, speech), and the need to deliver actionable understanding rather than academic benchmarks alone. DARPA explicitly states that it is looking for innovative approaches enabling revolutionary advances in science, devices, or systems, and that work mainly producing evolutionary improvements to the current state of practice is excluded. That is an important boundary: proposals needed to argue for step-change methods, new paradigms, or convincingly novel integrations that materially shift what can be done in low-resource emergency settings.

The grant posting references an Amendment 1, whose purpose is to clarify what linguistic capabilities will be provided by the Government. In other words, the amendment is meant to reduce uncertainty about what language assets, baseline tools, datasets, or other linguistic resources DARPA itself would make available to performers, and what gaps performers would be expected to fill. The amendment highlights changes in yellow in the attached document, indicating it should be read alongside the main BAA to understand the final assumptions about government-furnished information and capabilities. For teams planning an approach, that clarification matters because it affects data collection plans, evaluation readiness, staffing (for example, reliance on linguists versus automated acquisition), and how much of the early phase is spent bootstrapping versus improving operational performance.

From an administrative perspective, the opportunity was posted October 30, 2014, with a listed closing date of January 9, 2015 at 12:00 pm Eastern Time (the summary text also contains an inconsistent mention of "January 9, 2014," which appears to be a typographical error given the rest of the posting dates). The archive date is February 8, 2015. The official listing points applicants to the FedBizOpps link for the full announcement materials, and provides a government contact for access issues: Dr. Boyan Onyshkevych, DARPA I2O Program Manager and I2O BAA Coordinator. Overall, LORELEI is best read as a DARPA effort to push the field toward fast-deployable, low-resource language understanding and translation capabilities tailored to emergent incidents, with an emphasis on breakthroughs over incremental improvements and with government-provided linguistic support clarified in the first amendment.

FAQs: DARPA BAA 15-04 - Low Resource Languages for Emergent Incidents (LORELEI)

What is DARPA BAA 15-04 (LORELEI)?

DARPA BAA 15-04, titled Low Resource Languages for Emergent Incidents (LORELEI), is a Defense Advanced Research Projects Agency solicitation through DARPA's Information Innovation Office. It focuses on research and development of rapid-response human language technology for situations where an unexpected event occurs and the relevant language or dialect has little existing data, tooling, or expert coverage.

What problem is LORELEI trying to solve?

LORELEI targets the challenge of making sense of communications and information streams quickly when time is critical and the operational context is evolving, especially in languages that are not well supported by conventional natural language processing (NLP) pipelines.

What does DARPA mean by "rapid-response" language technology in this BAA?

In this context, "rapid response" means being able to stand up usable language processing capabilities quickly even when large labeled corpora, mature lexicons, robust speech recognizers, or high-quality machine translation systems do not exist for the target language. It also implies working under real-world constraints such as sparse data, limited time for new collection, noisy inputs, and the need to deliver actionable understanding.

What kinds of data and inputs does the BAA anticipate?

The BAA describes realistic, noisy sources such as social media, SMS-like text, scanned documents, field reports, and speech, rather than clean, curated datasets alone.

Is this opportunity focused on incremental improvements to existing NLP systems?

No. DARPA explicitly states it is looking for innovative approaches that enable revolutionary advances. Work that mainly produces evolutionary improvements to the current state of practice is excluded, so proposals need to argue for step-change methods, new paradigms, or convincingly novel integrations that materially shift what can be done in low-resource emergency settings.

What type of activity is this solicitation categorized as?

The opportunity is positioned as science and technology research and development under CFDA 12.910.

Who is eligible to apply?

Eligibility is described as unrestricted, meaning the solicitation is open to essentially any type of applicant entity, subject to any clarifications contained in the full announcement.

Does the opportunity require cost sharing or matching funds?

No. The posting indicates there is no cost sharing or matching requirement listed, so proposers are not expected to provide mandatory non-federal funds to be eligible.

What award instruments might DARPA use for LORELEI?

DARPA notes it may use multiple award instruments, including cooperative agreements, other transaction-type instruments, and procurement contracts. This suggests performers could be engaged under different management models depending on the work and the level of government involvement desired.

What is Amendment 1 and why does it matter?

The posting references an Amendment 1 intended to clarify what linguistic capabilities will be provided by the Government. This helps reduce uncertainty about which language assets, baseline tools, datasets, or other linguistic resources DARPA will make available and what gaps performers would be expected to fill.

How should Amendment 1 be used alongside the main BAA?

Amendment 1 is meant to be read with the main BAA to understand the final assumptions about government-furnished information and capabilities. The amendment highlights changes in yellow in the attached document, which indicates what was modified relative to the prior text.

How could the government's provided linguistic capabilities affect a proposed approach?

Based on the posting, the clarification can affect planning around data collection, evaluation readiness, staffing (for example, reliance on linguists versus automated acquisition), and how much early effort must be spent bootstrapping basic resources versus improving operational performance.

When was the opportunity posted and when did it close?

The opportunity was posted on October 30, 2014, with a listed closing date of January 9, 2015 at 12:00 pm Eastern Time.

Why does the summary mention "January 9, 2014" in one place?

The summary text contains an inconsistent mention of "January 9, 2014," which appears to be a typographical error given the other posting dates and the listed closing time.

What is the archive date for the solicitation listing?

The archive date is February 8, 2015.

Where does the official listing direct applicants to find the full announcement materials?

The official listing points applicants to the FedBizOpps link for the full announcement materials.

Who is the government contact listed for access issues?

The listing provides a government contact for access issues: Dr. Boyan Onyshkevych, DARPA I2O Program Manager and I2O BAA Coordinator.

What is the overall emphasis of LORELEI as described in the posting?

LORELEI is described as a DARPA effort to push the field toward fast-deployable, low-resource language understanding and translation capabilities tailored to emergent incidents, with an emphasis on breakthroughs over incremental improvements and with government-provided linguistic support clarified in Amendment 1.

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