Overview of the NIST 2016 LoReHLT evaluation View Full Text


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Article Info

DATE

2018-06

AUTHORS

Audrey Tong, Lukas Diduch, Jonathan Fiscus, Yasaman Haghpanah, Shudong Huang, David Joy, Kay Peterson, Ian Soboroff

ABSTRACT

Initiated in conjunction with DARPA’s low resource languages for emergent incidents (LORELEI) Program, the NIST LoReHLT (Low Resource 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 in, with its first evaluation taking place in July 2016. Eight teams, out of the 21 teams that registered, participated in the evaluation over three tasks—machine translation, named entity recognition, and situation frame—in the surprise language Uyghur. More... »

PAGES

11-30

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10590-017-9200-8

DOI

http://dx.doi.org/10.1007/s10590-017-9200-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1092654733


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