IARPA Babel Mongolian Language Pack IARPA-babel401b-v2.0b

Version 1.0

Bills, Aric; 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, 2021, "IARPA Babel Mongolian Language Pack IARPA-babel401b-v2.0b", https://hdl.handle.net/11272.1/AB2/IFBL6A, Abacus Data Network, V1

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Description	Abstract 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. (2020-10-15)
Subject	Other
Keyword	Linguistics
Notes	DCMI Type(s): Sound, Text Application(s): Speech recognition Language(s): Halh Mongolian Language ID(s): khk Metadata automatically created from https://catalog.ldc.upenn.edu/LDC2020S10 [01 Oct 2021]

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Dataset Persistent ID	hdl:11272.1/AB2/IFBL6A
Publication Date	2021-10-01
Title	IARPA Babel Mongolian Language Pack IARPA-babel401b-v2.0b
Other ID	Linguistic Data Consortium: LDC2020S10 ISBN: 1-58563-945-1 ISLRN: 312-159-865-368-5 DOI: https://doi.org/10.35111/hgpe-cp39
Author	Bills, Aric 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
Contact	Use email button above to contact. Abacus Support
Description	Abstract 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. (2020-10-15)
Subject	Other
Keyword	Linguistics (Linguistic Data Consortium)
Notes	DCMI Type(s): Sound, Text Application(s): Speech recognition Language(s): Halh Mongolian Language ID(s): khk Metadata automatically created from https://catalog.ldc.upenn.edu/LDC2020S10 [01 Oct 2021]
Producer	Linguistic Data Consortium https://www.ldc.upenn.edu/
Distribution Date	2020-10-15
Deposit Date	2020-10-15
Series	LDC: Linguistic Data Consortium
Data Sources	Telephone conversations

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Not-for-Profit Member User License Agreement for IARPA Babel Mongolian Language Pack IARPA-babel401b-v2.0b (LDC2020S10)

The User agrees to use the data designated as IARPA Babel Mongolian Language Pack IARPA-babel401b-v2.0b (LDC2020S10) (the “Data”) and distributed by the Linguistic Data Consortium (“LDC”) subject to the provisions of the LDC Not-For Profit Membership Agreement and to the following understandings, terms and conditions.

Please see the README for more details on the Data

The User agrees to:

Insert the following statement in any product, report, publication, presentation and/or other document that references the data: “This product contains or makes use of IARPA data, IARPA Babel Mongolian Language Pack IARPA-babel401b-v2.0b (LDC2020S10).”
Accept the Data “as is”. User is solely responsible for any damage that may arise from its use of the Data. User agrees to hold the US Government (“USG”), the source of the Data, harmless and to indemnify the USG for all liabilities, demands, damages, expenses and losses arising out of its use for any purpose of the Data. Unless prohibited by law, User assumes all liability for claims for damages against it by third parties which may arise from the use, storage or disposal of the Data, regardless of whether such liability is based on breach of contract, tort, strict liability, breach of warranties, infringement of intellectual property, failure of essential purpose or otherwise.
Not further distribute the Data.

LDC has entered into License Agreement with IARPA to distribute the Data. Under the terms of that License Agreement, LDC may be required to identify recipients of the Data to IARPA.

User shall give appropriate reference to the Data in scholarly publications whenever they are mentioned. The following citation format is required:

Aric Bills, Thomas Conners, Anne David, Eyal Dubinski, Jon Fiscus, Ketty Gann, Mary Harper, Michael Kazi, Lynn-Li Lim, Nicolas Malyska, Jennifer Melot, Jessica Ray, Anton Rytting, Sinney Shen, Rosanna Smith. IARPA Babel Mongolian Language Pack, IARPA-babel401b-v2.0b LDC2020S10. Web Download. Philadelphia: Linguistic Data Consortium, 2020.

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Not-for-Profit Member User License Agreement for IARPA Babel Mongolian Language Pack IARPA-babel401b-v2.0b (LDC2020S10)

Please see the README for more details on the Data

The User agrees to:

Insert the following statement in any product, report, publication, presentation and/or other document that references the data: “This product contains or makes use of IARPA data, IARPA Babel Mongolian Language Pack IARPA-babel401b-v2.0b (LDC2020S10).”
Accept the Data “as is”. User is solely responsible for any damage that may arise from its use of the Data. User agrees to hold the US Government (“USG”), the source of the Data, harmless and to indemnify the USG for all liabilities, demands, damages, expenses and losses arising out of its use for any purpose of the Data. Unless prohibited by law, User assumes all liability for claims for damages against it by third parties which may arise from the use, storage or disposal of the Data, regardless of whether such liability is based on breach of contract, tort, strict liability, breach of warranties, infringement of intellectual property, failure of essential purpose or otherwise.
Not further distribute the Data.

LDC has entered into License Agreement with IARPA to distribute the Data. Under the terms of that License Agreement, LDC may be required to identify recipients of the Data to IARPA.

User shall give appropriate reference to the Data in scholarly publications whenever they are mentioned. The following citation format is required:

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Not-for-Profit Member User License Agreement for IARPA Babel Mongolian Language Pack IARPA-babel401b-v2.0b (LDC2020S10)

Please see the README for more details on the Data

The User agrees to:

Insert the following statement in any product, report, publication, presentation and/or other document that references the data: “This product contains or makes use of IARPA data, IARPA Babel Mongolian Language Pack IARPA-babel401b-v2.0b (LDC2020S10).”
Accept the Data “as is”. User is solely responsible for any damage that may arise from its use of the Data. User agrees to hold the US Government (“USG”), the source of the Data, harmless and to indemnify the USG for all liabilities, demands, damages, expenses and losses arising out of its use for any purpose of the Data. Unless prohibited by law, User assumes all liability for claims for damages against it by third parties which may arise from the use, storage or disposal of the Data, regardless of whether such liability is based on breach of contract, tort, strict liability, breach of warranties, infringement of intellectual property, failure of essential purpose or otherwise.
Not further distribute the Data.

LDC has entered into License Agreement with IARPA to distribute the Data. Under the terms of that License Agreement, LDC may be required to identify recipients of the Data to IARPA.

User shall give appropriate reference to the Data in scholarly publications whenever they are mentioned. The following citation format is required:

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