Skip to main content
U.S. flag

An official website of the United States government

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.

Overview of the NIST 2016 LoReHLT Evaluation



Audrey N. Tong, Lukasz L. Diduch, Jonathan G. Fiscus, Yasaman Haghpanah, Shudong Huang, David M. Joy, Kay Peterson, Ian M. Soboroff


Initiated in conjunction with DARPA's Low Resource Languages for Emergent Incidents (LORELEI) Program, the NIST LoReHLT (Low Re-source Human Language Technology) evaluation series seeks to incubate research on fundamental natural language processing tasks in under-resourced languages. While part of the LORELEI program, LoReHLT is an open evaluation workshop that anyone may participate and had its fi rst evaluation in July 2016. A total of eight teams out of 21 registrants participated in the evaluation over three tasks - machine translation, named entity recognition, and situation frame - in the surprise language Uyghur.
Machine Translation Special Issue NLP in Low Resource Languages


low resource human language technology evaluation, machine translation evaluation, named entity recognition evaluation, situation frame evaluation, Uyghur


Tong, A. , Diduch, L. , Fiscus, J. , Haghpanah, Y. , Huang, S. , Joy, D. , Peterson, K. and Soboroff, I. (2017), Overview of the NIST 2016 LoReHLT Evaluation, Machine Translation Special Issue NLP in Low Resource Languages, [online], (Accessed June 25, 2024)


If you have any questions about this publication or are having problems accessing it, please contact

Created November 13, 2017, Updated November 10, 2018