In this newsletter: Fall 2026 LDC data scholarship program
New publications: Parsed Early English Books Online -Text Creation Partnershiphttps://catalog.ldc.upenn.edu/LDC2026T09 Multi-Language Conversational Telephone Speech 2014 - Slavic Grouphttps://catalog.ldc.upenn.edu/LDC2026S10 LORELEI Arabic Representative Language Packhttps://catalog.ldc.upenn.edu/LDC2026T08 ________________________________ Fall 2026 LDC data scholarship program Student applications for the Fall 2026 LDC data scholarship program are being accepted now through September 15, 2026. This program provides eligible students with no-cost access to LDC data. Students must complete an application consisting of a data use proposal and letter of support from their advisor. For application requirements and program rules, visit the LDC Data Scholarshipshttps://www.ldc.upenn.edu/language-resources/data/data-scholarships page. ________________________________ New publications: Parsed Early English Books Online - Text Creation Partnershiphttps://catalog.ldc.upenn.edu/LDC2026T09 (EEBO-TCP), developed by LDC, is a part-of-speech tagged and syntactically parsed version of the EEBO-TCPhttps://www.textpartnership.net/pages/eebo-tcp.html collection of Early Modern English texts. The corpus consists of 59,433 texts dating primarily from 1600-1700, with a smaller number of texts from earlier and later periods. It contains 48.6 million parsed sentences (trees) comprising more than 1.5 billion tokens. The parses were produced automatically using a parser trained on the Penn Helsinki Parsed Corpus of Early Modern English, part of the Penn Parsed Corpora of Historical English (LDC2020T16)https://catalog.ldc.upenn.edu/LDC2020T16. The automatically generated parses were not manually reviewed.
Parsed EEBO-TCP includes the CorpusSearch 2 program and associated documentation. This tool allows users to search the data for syntactic structure, word sequences, and words. An alternative version of CorpusSearch 2 for use on very large corpora is also included in this release.
2026 members can access this corpus through their LDC accounts. Non-members may license this data for a fee.
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Multi-Language Conversational Telephone Speech 2014 - Slavic Grouphttps://catalog.ldc.upenn.edu/LDC2026S10 was developed by LDC and is comprised of 20 hours of Polish and Russian telephone speech. The data was collected to support research and technology evaluation in automatic language identification; portions of these recordings were used in the NIST 2015 and 2017 language recognition evaluationshttps://www.nist.gov/itl/iad/mltg/language-recognition. The collection focused on language pair discrimination for 20 languages/dialects, some of which could be considered mutually intelligible or closely related.
This corpus contains 96 recordings: 61 Polish recordings and 35 Russian recordings. Participants were recruited by native speakers who contacted acquaintances in their social network. Those native speakers made one call, up to 8 minutes, to each acquaintance. Human auditors labeled the calls for language, callee gender, native speaker status, and speech clarity.
2026 members can access this corpus through their LDC accounts. Non-members may license this data for a fee.
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LORELEI Arabic Representative Language Packhttps://catalog.ldc.upenn.edu/LDC2026T08 contains 2.4 million words of Arabic monolingual text, 930,00 words of which were translated into English, and 225,000 Arabic words translated from English data. Nearly 88,000 words were annotated for simple named entities, and approximately 29,000 words were annotated for full entities (including nominals and pronouns). In addition, over 10,000 words were annotated for noun phrase chunking, 18,000 words were labeled with semantic annotation, and situation frame annotation was applied to more than 24,000 words.
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. Representative languages were selected to provide broad typological coverage.
The knowledge base for entity linking annotation is available separately as LORELEI Entity Detection and Linking Knowledge Base (LDC2020T10)https://catalog.ldc.upenn.edu/LDC2020T10.
2026 members can access this corpus through their LDC accounts. Non-members may license this data for a fee.
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Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc@ldc.upenn.edumailto:ldc@ldc.upenn.edu M: 3600 Market St. Suite 810 Philadelphia, PA 19104