OLAC Record

Title:IARPA Babel Pashto Language Pack IARPA-babel104b-v0.4bY
Access Rights:Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:Adams, Nikki, et al. IARPA Babel Pashto Language Pack IARPA-babel104b-v0.4bY LDC2016S09. Web Download. Philadelphia: Linguistic Data Consortium, 2016
Contributor:Adams, Nikki
Bills, Aric
Bishop, Judith
Fiscus, Jonathan G.
Gillies, Breanna
Harper, Mary
Hazen, T. J.
Jarrett, Amy
Khugyani, Kamila Khan
Lin, Willa
Ray, Jessica
Rytting, Anton
Shen, Wade
Strahan, Tania E.
Tzoukermann, Evelyne
Date (W3CDTF):2016
Date Issued (W3CDTF):2016-09-15
Description:*Introduction* IARPA Babel Pashto Language Pack IARPA-babel104b-v0.4bY was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 244 hours of Pashto conversational and scripted telephone speech collected in 2011 and 2012 along with corresponding transcripts. The Babel program focuses on underserved languages and seeks to develop speech recognition technology that can be rapidly applied to any human language to support keyword search performance over large amounts of recorded speech. *Data* The Pashto speech in this release represents that spoken in four dialect regions of Afghanistan and Pakistan. The gender distribution among speakers is approximately 30% female, 70% male; speakers' ages range from 17 years to 70 years. Calls were made using different telephones (e.g., mobile, landline) from a variety of environments including the street, a home or office, a public place, and inside a vehicle. All audio data is presented as 8kHz 8-bit a-law encoded audio in sphere format. Transcripts are available in two versions: an extended Arabic script and a modified Buckwalter transliteration scheme, both encoded in UTF-8. Further information about transcription methodology is contained in the documentation accompanying this release. Additional evaluation data is available from NIST in support of OpenKWS. *Samples* Please view the following samples: * Audio Sample * Transcript Sample * Romanized Transcript Sample *Updates* None at this time.
Extent:Corpus size: 6420760 KB
Format:Sampling Rate: 8000
Sampling Format: a-law
ISBN: 1-58563-767-X
ISLRN: 594-996-615-028-9
DOI: 10.35111/0p70-3r11
Language (ISO639):pus
License:IARPA Babel Pashto Agreement (For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-pashto-agreement-for-profit.pdf
IARPA Babel Pashto Agreement (Non-Member): https://catalog.ldc.upenn.edu/license/iarpa-babel-pashto-agreement-non-member.pdf
IARPA Babel Pashto Agreement (Not-For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-pashto-agreement-not-for-profit.pdf
Medium:Distribution: Web Download
Provenance:Collected by Appen Butler Hill in Pakistan.
Publisher:Linguistic Data Consortium
Publisher (URI):https://www.ldc.upenn.edu
Relation (URI):https://catalog.ldc.upenn.edu/docs/LDC2016S09
Rights Holder:Portions © 2015 U.S. Government
The U.S. Government acquired this data from Appen Pty Ltd, which assigned the copyright to the data to the U.S. Government.
Type (DCMI):Sound
Type (OLAC):primary_text


Archive:  The LDC Corpus Catalog
Description:  http://www.language-archives.org/archive/www.ldc.upenn.edu
GetRecord:  OAI-PMH request for OLAC format
GetRecord:  Pre-generated XML file

OAI Info

OaiIdentifier:  oai:www.ldc.upenn.edu:LDC2016S09
DateStamp:  2022-12-06
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Adams, Nikki; Bills, Aric; Bishop, Judith; Fiscus, Jonathan G.; Gillies, Breanna; Harper, Mary; Hazen, T. J.; Jarrett, Amy; Khugyani, Kamila Khan; Lin, Willa; Ray, Jessica; Rytting, Anton; Shen, Wade; Strahan, Tania E.; Tzoukermann, Evelyne. 2016. Linguistic Data Consortium.
Terms: dcmi_Sound dcmi_Text iso639_pus olac_primary_text

Up-to-date as of: Sun Jun 16 7:34:40 EDT 2024