OLAC Record

Title:IARPA Babel Mongolian Language Pack IARPA-babel401b-v2.0b
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 Mongolian Language Pack IARPA-babel401b-v2.0b LDC2020S10. Web Download. Philadelphia: Linguistic Data Consortium, 2020
Contributor:Bills, Aric
Bishop, Judith
Conners, Thomas
David, Anne
Dubinski, Eyal
Fiscus, Jonathan G.
Gann, Ketty
Harper, Mary
Kazi, Michael
Lim, Lynn-Li
Malyska, Nicolas
Melot, Jennifer
Ray, Jessica
Rytting, Anton
Shen, Sinney
Smith, Rosanna
Date (W3CDTF):2020
Date Issued (W3CDTF):2020-10-15
Description:*Introduction* IARPA Babel Mongolian Language Pack IARPA-babel401b-v2.0b was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 204 hours of Halh Mongolian conversational and scripted telephone speech collected in 2014 along with corresponding transcripts. The Babel program focused on underserved languages and sought to develop speech recognition technology that could be rapidly applied to any human language to support keyword search performance over large amounts of recorded speech. *Data* The Halh Mongolian speech in this release represents that spoken by native speakers in Mongolia. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 61 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 in both Mongolian Cyrillic and a romanization scheme developed by Appen; they cover approximately 77% of the speech data. 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 the following samples: * Audio Sample (SPH) * Transcript Sample (TXT) * Romanized Transcript Samples (TXT) *Updates* None at this time.
Extent:Corpus size: 10306809 KB
Format:Sampling Rate: 8000
Sampling Format: alaw
ISBN: 1-58563-945-1
ISLRN: 312-159-865-368-5
DOI: 10.35111/hgpe-cp39
Language:Halh Mongolian
Language (ISO639):khk
License:IARPA Babel Mongolian Agreement (For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-mongolian-agreement-for-profit.pdf
IARPA Babel Mongolian Agreement (Non-Member): https://catalog.ldc.upenn.edu/license/iarpa-babel-mongolian-agreement-non-member.pdf
IARPA Babel Mongolian Agreement (Not-For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-mongolian-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/LDC2020S10
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:LDC2020S10
DateStamp:  2022-12-06
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Citation: Bills, Aric; Bishop, Judith; Conners, Thomas; David, Anne; Dubinski, Eyal; Fiscus, Jonathan G.; Gann, Ketty; Harper, Mary; Kazi, Michael; Lim, Lynn-Li; Malyska, Nicolas; Melot, Jennifer; Ray, Jessica; Rytting, Anton; Shen, Sinney; Smith, Rosanna. 2020. Linguistic Data Consortium.
Terms: area_Asia country_MN dcmi_Sound dcmi_Text iso639_khk olac_primary_text

Up-to-date as of: Tue May 7 7:25:49 EDT 2024