**Introduction** LORELEI Multiway Translated Text (LDC2026T06) consists of a fixed set of English texts (around 100,000 words) translated into 24 languages. It was developed by the Linguistic Data Consortium (LDC) for the DARPA LORELEI Program; the translations were included in the LORELEI representative language packs created by LDC in 2016-2019. 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 and Incident Language Packs for over two dozen low resource languages, comprising data, annotations, basic natural language processing tools, lexicons and grammatical resources. 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. **Data** The common set of 100,000 English words translated into each representative language was composed of English news documents (50%), LORELEI-domain English news documents (25%), and a phrasebook and elicitation corpus (25%). The phrasebook contained everyday colloquial phrases. The elicitation corpus was designed to represent linguistic structures. Texts were translated by a combination of professional translators and crowd-sourced translators. Further details on the translation process are contained in the documentation accompanying this release. Phrase-level data (elicitation and phrasebook text) is presented as tab-delimited (.tab) files. Document-level data (news text and translations) is presented as XML files. All text data is UTF-encoded. Software is included to convert ltf.xml files to "raw source data" plain text files. **Sponsorship** This material is based upon work supported by the Defense Advanced Research Projects Agency (DARPA) under Contract No. HR0011-15-C-0123. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of DARPA.

Creator(s)

Jennifer Tracey

Stephanie Strassel

David Graff

Jonathan Wright

Song Chen

Dana Delgado

Michael Arrigo

Distributor(s)

Linguistic Data Consortium

Right Holder(s)

Linguistic Data Consortium