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Data · dataset · 2026

LORELEI Ilocano Incident Language Pack

Listed in UC Berkeley Library Dataverse

Description

LORELEI Ilocano Incident Language Pack was developed by the Linguistic Data Consortium (LDC) and consists of approximately 8.9 million words of Ilocano monolingual text, 3.3 million words of English monolingual text, 3.2 million words of parallel Ilocano-English text, and 3 million words of data annotated for Entity Discovery and Linking and Situation Frames. It contains all of the text data, annotations, supplemental resources, and related software tools for the Ilocano language used in the DARPA LORELEI / LoReHLT 2019 Evaluation.

The LORELEI (Low Resource Languages for Emergent Incidents) program was concerned with building human language technology for low resource languages in the context of emergent situations like natural disasters or disease outbreaks. Linguistic resources for LORELEI include Representative Language Packs for over two dozen low resource languages, comprising data, annotations, basic natural language processing tools, lexicons and grammatical resources.

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Representative languages were selected to provide broad typological coverage, while incident languages were selected to evaluate system performance on a language whose identity was disclosed at the start of the evaluation. The evaluation protocol was based on a scenario in which some unforeseen event triggered a need for humanitarian and logistical support in a region where the predominant language was one that had received little or no attention in natural language processing (NLP) research.

Evaluation participants provided NLP solutions, including information extraction and machine translation, based on limited resources and with limited development time.

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Where it is published

Catalogue records · 1

Topics

Stated by source
Social Sciences
From keywords
Social Science
Inferred from text
Disease 75% · Text 75%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
UC Berkeley Library Dataversedoi:10.60503/D3/VHLPUR5 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[disease].local:disease:diseaseenrichment · datasets lib berkeley edukeyword-concept-rules@1.0.0title+description (75%)
concepts[field].dataverse_subject:social-sciencessource · datasets lib berkeley educonnector:datasets_lib_berkeley_edu@1.0.0/subjects
concepts[field].local:field:social-sciencemapping · datasets lib berkeley educonnector:datasets_lib_berkeley_edu@1.0.0/subjects
concepts[modality].local:modality:textenrichment · datasets lib berkeley edukeyword-concept-rules@1.0.0title+description (75%)
created_datesource · datasets lib berkeley educonnector:datasets_lib_berkeley_edu@1.0.0
descriptionsource · datasets lib berkeley educonnector:datasets_lib_berkeley_edu@1.0.0/description
publication_datesource · datasets lib berkeley educonnector:datasets_lib_berkeley_edu@1.0.0
titlesource · datasets lib berkeley educonnector:datasets_lib_berkeley_edu@1.0.0/name
updated_datesource · datasets lib berkeley educonnector:datasets_lib_berkeley_edu@1.0.0
version_labelsource · datasets lib berkeley educonnector:datasets_lib_berkeley_edu@1.0.0