LoReHLT Uzbek Representative Language Pack
| Item Name: | LoReHLT Uzbek Representative Language Pack |
| Author(s): | Jennifer Tracey, Stephanie Strassel, David Graff, Jonathan Wright, Song Chen, Neville Ryant, Seth Kulick, Dana Delgado, Michael Arrigo |
| LDC Catalog No.: | LDC2025T08 |
| ISLRN: | 370-274-581-227-7 |
| DOI: | https://doi.org/10.35111/t5qx-jc85 |
| Release Date: | July 15, 2025 |
| Member Year(s): | 2025 |
| DCMI Type(s): | Software, Sound, Text |
| Sample Type: | flac, mp4 |
| Sample Rate: | 16000, 44100 |
| Data Source(s): | broadcast news, discussion forum, newsgroups, newswire, web collection, weblogs |
| Project(s): | BOLT, LORELEI |
| Application(s): | cross-language transfer, entity extraction, information extraction, machine translation |
| Language(s): | English, Uzbek |
| Language ID(s): | eng, uzb |
| License(s): |
LDC User Agreement for Non-Members |
| Online Documentation: | LDC2025T08 Documents |
| Licensing Instructions: | Subscription & Standard Members, and Non-Members |
| Citation: | Tracey, Jennifer, et al. LoReHLT Uzbek Representative Language Pack LDC2025T08. Web Download. Philadelphia: Linguistic Data Consortium, 2025. |
| Related Works: | View |
Introduction
LoReHLT Uzbek Representative Language Pack consists of Uzbek monolingual text, Uzbek-English parallel text, annotations, audio recordings, 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
Uzbek is spoken across central Asia; it is the official language of Uzbekistan.
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:
- 47 million words of Uzbek monolingual text, over 886,000 of which were translated into English
- 563,000 words of found Uzbek-English parallel text
- 100,000 Uzbek words translated from English text
- 6.41 hours of Uzbek audio recordings (broadcast news, amateur web recordings)
Approximately 151,000 words were annotated for named entities, and over 28,000 words were annotated for full entity including nominals and pronouns. Noun-phrase chunking was applied to more than 13,000 words and over 20,890 words were labeled with simple semantic annotation. Topic annotation was applied to the audio recordings.
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 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 and .mp4 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.
Samples
Please view these samples:
- English LTF XML
- English PSM XML
- Uzbek LTF XML
- Uzbek PSM XML
- Full Entity Annotation XML
- Semantic Annotation XML
- Noun Phrase XML
- Audio file (mp4)
- Audio file (flac)
Updates
No updates at this time.