**Introduction** LoReHLT Turkish Representative Language Pack (LDC2026T10) consists of Turkish monolingual text, Turkish-English parallel text, annotations, audio recordings, a lexicon, supplemental resources and related software tools developed by the Linguistic Data Consortium for LoReHLT, a companion project of the DARPA LORELEI program. 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** Turkish is spoken primarily in Turkey, where it is the official language. This release is the result of a pilot effort preceding the LORELEI program. Text data was collected in the following genres: news, discussion forum, reference, social network, and weblogs. Both monolingual text collection and parallel text creation involved a combination of manual and automatic methods. Also collected were broadcast news recordings and amateur web audio recordings related to disaster events covered in the text data. Data volumes are as follows: Nearly 422 million words of Turkish monolingual text, about 830,000 of which were translated into English Over 84,000 Turkish words translated from English text Nearly 25 hours of Turkish audio recordings (broadcast news, amateur web recordings) Approximately 88,000 words were annotated for named entities, and over 27,000 words received full entity annotation including nominals and pronouns. Noun-phrase chunking was applied to over 9,300 words. More than 6,200 words were morphologically aligned, and over 25,400 words were labeled with simple semantic annotation. Audio recordings were annotated for topics. Lexical resources and software tools are also included in this release. The tools recreate original source data from the processed XML material, condition text data users download from X/Twitter, apply sentence segmentation to raw text, and support named entity tagging. Monolingual and parallel text are presented in XML with associated dtds. Annotation data is presented as tab delimited files or XML. All text is UTF-8 encoded. The audio recordings are presented in FLAC-compressed MS-WAV format. **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.Updates **Updates** No updates at this time.

Creator(s)

Jennifer Tracey

Stephanie Strassel

David Graff

Jonathan Wright

Kira Griffitt

Song Chen

Neville Ryant

Seth Kulick

Dana Delgado

Michael Arrigo

Distributor(s)

Linguistic Data Consortium

Right Holder(s)

Linguistic Data Consortium