IARPA Babel Tok Pisin Language Pack IARPA-babel207b-v1.0e
|Item Name:||IARPA Babel Tok Pisin Language Pack IARPA-babel207b-v1.0e|
|Author(s):||Aric Bills, Thomas Conners, Miriam Corris, Eyal Dubinski, Jonathan G. Fiscus, Mary Harper, Melanie Heighway, Kirill Kozlov, Nicolas Malyska, Jennifer Melot, Jessica Ray, Anton Rytting, Wade Shen, Ronnie Silber, Evelyne Tzoukermann|
|LDC Catalog No.:||LDC2018S02|
|Release Date:||February 16, 2018|
|DCMI Type(s):||Sound, Text|
|Data Source(s):||telephone conversations|
IARPA Babel Tok Pisin Agreement (For-Profit)
IARPA Babel Tok Pisin Agreement (Non-Member)
IARPA Babel Tok Pisin Agreement (Not-For-Profit)
|Online Documentation:||LDC2018S02 Documents|
|Licensing Instructions:||Subscription & Standard Members, and Non-Members|
|Citation:||Bills, Aric, et al. IARPA Babel Tok Pisin Language Pack IARPA-babel207b-v1.0e LDC2018S02. Web Download. Philadelphia: Linguistic Data Consortium, 2018.|
IARPA Babel Tok Pisin Language Pack IARPA-babel207b-v1.0e was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 200 hours of Tok Pisin 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.
The Tok Pisin speech in this release represents that spoken in the Papuan dialect region of Papua New Guinea. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 65 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.
None at this time.
CopyrightPortions © 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.