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.
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