OLAC Record
oai:www.ldc.upenn.edu:LDC2017S08

Metadata
Title:IARPA Babel Lao Language Pack IARPA-babel203b-v3.1a
Access Rights:Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:Benowitz, Daniel, et al. IARPA Babel Lao Language Pack IARPA-babel203b-v3.1a LDC2017S08. Web Download. Philadelphia: Linguistic Data Consortium, 2017
Contributor:Benowitz, Daniel
Bills, Aric
Bishop, Judith
Conners, Thomas
Dubinski, Eyal
Fiscus, Jonathan G.
Harper, Mary
Heighway, Melanie
Le, Hanh
Melot, Jennifer
Onaka, Akiko
Ray, Jessica
Rytting, Anton
Shen, Wade
Silber, Ronnie
Tzoukermann, Evelyne
Date (W3CDTF):2017
Date Issued (W3CDTF):2017-05-15
Description:*Introduction* IARPA Babel Lao Language Pack IARPA-babel203b-v3.1a was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 207 hours of Lao conversational and scripted telephone speech collected in 2013 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 Lao speech in this release represents that spoken in the Vientiane dialect region in Laos. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 60 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. The romanization scheme was developed by Appen and was based on the scheme developed by the American Library Association and Library of Congress. 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: 11794032 KB
Format:Sampling Rate: 8000
Sampling Format: a-law
Identifier:LDC2017S08
https://catalog.ldc.upenn.edu/LDC2017S08
ISBN: 1-58563-794-7
ISLRN: 727-478-824-788-1
DOI: 10.35111/bq21-kf58
Language:Lao
Language (ISO639):lao
License:IARPA Babel Lao Agreement (For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-lao-agreement-for-profit.pdf
IARPA Babel Lao Agreement (Non-Member): https://catalog.ldc.upenn.edu/license/iarpa-babel-lao-agreement-non-member.pdf
IARPA Babel Lao Agreement (Not-For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-lao-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/LDC2017S08
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
Text
Type (OLAC):primary_text

OLAC Info

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:LDC2017S08
DateStamp:  2022-12-06
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Benowitz, Daniel; Bills, Aric; Bishop, Judith; Conners, Thomas; Dubinski, Eyal; Fiscus, Jonathan G.; Harper, Mary; Heighway, Melanie; Le, Hanh; Melot, Jennifer; Onaka, Akiko; Ray, Jessica; Rytting, Anton; Shen, Wade; Silber, Ronnie; Tzoukermann, Evelyne. 2017. Linguistic Data Consortium.
Terms: area_Asia country_LA dcmi_Sound dcmi_Text iso639_lao olac_primary_text


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Up-to-date as of: Fri Dec 9 4:07:57 EST 2022