In this newsletter:
Fall 2026 LDC data scholarship program

New publications:
Parsed Early English Books Online -Text Creation 
Partnership<https://catalog.ldc.upenn.edu/LDC2026T09>
Multi-Language Conversational Telephone Speech 2014 - Slavic 
Group<https://catalog.ldc.upenn.edu/LDC2026S10>
LORELEI Arabic Representative Language 
Pack<https://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 
Scholarships<https://www.ldc.upenn.edu/language-resources/data/data-scholarships>
 page.
________________________________
New publications:
Parsed Early English Books Online - Text Creation 
Partnership<https://catalog.ldc.upenn.edu/LDC2026T09> (EEBO-TCP), developed by 
LDC, is a part-of-speech tagged and syntactically parsed version of the 
EEBO-TCP<https://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.

*

Multi-Language Conversational Telephone Speech 2014 - Slavic 
Group<https://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 
evaluations<https://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.

*

LORELEI Arabic Representative Language 
Pack<https://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.

To unsubscribe from this newsletter, log in to your LDC 
account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to 
"Receive Newsletter" under Account Options or contact LDC for assistance.

Membership Coordinator
Linguistic Data Consortium<ldc.upenn.edu>
University of Pennsylvania
T: +1-215-573-1275
E: [email protected]<mailto:[email protected]>
M: 3600 Market St. Suite 810
      Philadelphia, PA 19104

_______________________________________________
Corpora mailing list -- [email protected]
https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/
To unsubscribe send an email to [email protected]

Reply via email to