OLAC Record

Title:IARPA Babel Kazakh Language Pack IARPA-babel302b-v1.0a
Access Rights:Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:Bills, Aric, et al. IARPA Babel Kazakh Language Pack IARPA-babel302b-v1.0a LDC2018S13. Web Download. Philadelphia: Linguistic Data Consortium, 2018
Contributor:Bills, Aric
Bishop, Judith
Conners, Thomas
David, Anne
Dubinski, Eyal
Fiscus, Jonathan G.
Harper, Mary
Hefright, Brook
Kozlov, Kirill
Melot, Jennifer
Ray, Jessica
Rytting, Anton
Phillips, Josh
Walter, Marle
Shen, Wade
Silber, Ronnie
Tzoukermann, Evelyne
Date (W3CDTF):2018
Date Issued (W3CDTF):2018-09-17
Description:*Introduction* IARPA Babel Kazakh Language Pack IARPA-babel302b-v1.0a was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 203 hours of Kazakh conversational and scripted telephone speech collected in 2013 and 2014 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 Kazakh speech in this release represents that spoken in the Northeastern and Southern dialect regions of Kazakhstan. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 64 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. Audio data is presented as 8kHz 8-bit a-law encoded audio in sphere format and 48kHz 24-bit PCM encoded audio in wav format. Transcripts are encoded in UTF-8. Further information about transcription methodology is contained in the documentation accompanying this release. Evaluation data is available from NIST in support of OpenKWS. *Samples* Please view this audio sample, transcript sample, and romanized transcript sample. *Updates* None at this time.
Extent:Corpus size: 12206208 KB
Format:Sampling Rate: 8000
Sampling Format: alaw
ISBN: 1-58563-859-5
ISLRN: 167-295-654-867-3
DOI: 10.35111/rwmc-nm96
Language (ISO639):kaz
License:IARPA Babel Kazakh Agreement (For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-kazakh-agreement-for-profit.pdf
IARPA Babel Kazakh Agreement (Non-Member): https://catalog.ldc.upenn.edu/license/iarpa-babel-kazakh-agreement-non-member.pdf
IARPA Babel Kazakh Agreement (Not-For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-kazakh-agreement-not-for-profit.pdf
Medium:Distribution: Web Download
Publisher:Linguistic Data Consortium
Publisher (URI):https://www.ldc.upenn.edu
Relation (URI):https://catalog.ldc.upenn.edu/docs/LDC2018S13
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
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OaiIdentifier:  oai:www.ldc.upenn.edu:LDC2018S13
DateStamp:  2022-12-06
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Search Info

Citation: Bills, Aric; Bishop, Judith; Conners, Thomas; David, Anne; Dubinski, Eyal; Fiscus, Jonathan G.; Harper, Mary; Hefright, Brook; Kozlov, Kirill; Melot, Jennifer; Ray, Jessica; Rytting, Anton; Phillips, Josh; Walter, Marle; Shen, Wade; Silber, Ronnie; Tzoukermann, Evelyne. 2018. Linguistic Data Consortium.
Terms: area_Asia country_KZ dcmi_Sound dcmi_Text iso639_kaz olac_primary_text

Up-to-date as of: Sun Jan 15 0:45:19 EST 2023