oai:www.ldc.upenn.edu:LDC2017S08
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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 |
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| 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 |
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| 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 | |