OLAC Record
oai:www.ldc.upenn.edu:LDC2016S02

Metadata
Title:IARPA Babel Cantonese Language Pack IARPA-babel101b-v0.4c
Access Rights:Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:Andrus, Tony, et al. IARPA Babel Cantonese Language Pack IARPA-babel101b-v0.4c LDC2016S02. Web Download. Philadelphia: Linguistic Data Consortium, 2016
Contributor:Andrus, Tony
Dubinski, Eyal
Fiscus, Jonathan G.
Gillies, Breanna
Harper, Mary
Hazen, T. J.
Hefright, Brook
Jarrett, Amy
Lin, Willa
Ray, Jessica
Rytting, Anton
Shen, Wade
Tzoukermann, Evelyne
Wong, Jamie
Date (W3CDTF):2016
Date Issued (W3CDTF):2016-07-19
Description:*Introduction* IARPA Babel Cantonese Language Pack IARPA-babel101b-v0.4c was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 215 hours of Cantonese conversational and scripted telephone speech collected in 2011 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 Cantonese speech in this release represents that spoken in the Chinese provinces of Guangdong and Guangxi, and within those provinces, among five dialect groups. The gender distribution among speakers is approximately even; speakers' ages range from 16 years to 67 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: simplified Chinese characters and a romanization scheme based on the Yale system, both 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 the following samples: * audio sample * transcription * romanized transcription *Updates* None at this time.
Extent:Corpus size: 6484312 KB
Format:Sampling Rate: 8000
Sampling Format: a-law
Identifier:LDC2016S02
https://catalog.ldc.upenn.edu/LDC2016S02
ISBN: 1-58563-746-7
ISLRN: 203-805-101-705-6
Language:Yue Chinese
Language (ISO639):yue
License:IARPA Babel Cantonese Agreement (Non-Member): https://catalog.ldc.upenn.edu/license/iarpa-babel-cantonese-agreement-non-member.pdf
IARPA Babel Cantonese Agreement (Not-For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-cantonese-agreement-not-for-profit.pdf
IARPA Babel Cantonese Agreement (For-Profit): https://catalog.ldc.upenn.edu/license/iarpa-babel-cantonese-agreement-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/LDC2016S02
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:LDC2016S02
DateStamp:  2019-12-12
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Andrus, Tony; Dubinski, Eyal; Fiscus, Jonathan G.; Gillies, Breanna; Harper, Mary; Hazen, T. J.; Hefright, Brook; Jarrett, Amy; Lin, Willa; Ray, Jessica; Rytting, Anton; Shen, Wade; Tzoukermann, Evelyne; Wong, Jamie. 2016. Linguistic Data Consortium.
Terms: area_Asia country_CN dcmi_Sound dcmi_Text iso639_yue olac_primary_text


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Up-to-date as of: Sun Aug 2 15:59:57 EDT 2020