NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.
Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.
An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Development of Domain-Specific Scenarios for Training and Evaluation of Two-Way, Free Form, Spoken Language Translation Devices
Published
Author(s)
Brian A. Weiss, Marnie Menzel
Abstract
To create effective and accurate two-way, free form, spoken language translation devices, they must be supplied with appropriate training data. The goal of the DARPA TRANSTAC (Spoken Language Communication and Translation System for Tactical Use) program is to demonstrate capabilities to rapidly develop and field this technology so speakers of different languages can communicate with one another in real-world tactical situations. A critical component is to generate data sets to both train and evaluate the technologies. A novel approach was developed to collecting these data through the creation of innovative data collection and evaluation scenarios. This paper describes the scenario generation methodology used to support the TRANSTAC data collections and evaluations.
Proceedings Title
Proceedings of the 2009 International Test and Evaluation Association Symposium
Weiss, B.
and Menzel, M.
(2009),
Development of Domain-Specific Scenarios for Training and Evaluation of Two-Way, Free Form, Spoken Language Translation Devices, Proceedings of the 2009 International Test and Evaluation Association Symposium, Baltimore, MD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=903027
(Accessed October 11, 2025)