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Kay Peterson (Fed)

Social Science Analyst

Kay Peterson is a social scientist in the Multimodal Information Group of the Information Access Division at NIST's Information Technology Laboratory. She holds a master's degree in linguistics (with minors in English and psychology) from Bielefeld University, Germany. Kay has accumulated experience in HLT (human language technology) development and evaluation since the late 1990s in academic, industry, and government settings, with a focus on HLT metrology and evaluation at NIST since 2007.

Her most prominent HLT evaluation contributions at NIST have been in these programs:

  • NIST ACE (Automatic Content Extraction) evaluation series
  • NIST OpenMT (Open Machine Translation) evaluation series
  • NIST MetricsMaTr (Metrics for Machine Translation) evaluation series
  • DARPA BOLT (Broad Operational Language Translation) program evaluations
  • DARPA LORELEI (Low Resource Languages for Emergent Incidents) program evaluations
  • IARPA MATERIAL (Machine Translation for English Retrieval of Information in Any Language) program evaluations
    • MATERIAL-associated OpenCLIR (Open Cross Language Information Retrieval) evaluation
    • MATERIAL-associated OpenASR (Open Automatic Speech Recognition) evaluation series
  • DARPA CCU (Computational Cultural Understanding) program evaluations


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
Created October 9, 2019, Updated September 21, 2023