OLAC Record
oai:www.ldc.upenn.edu:LDC2013T20

Metadata
Title:GALE Phase 2 Chinese Broadcast News Transcripts
Access Rights:Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:Glenn, Meghan, et al. GALE Phase 2 Chinese Broadcast News Transcripts LDC2013T20. Web Download. Philadelphia: Linguistic Data Consortium, 2013
Contributor:Glenn, Meghan
Lee, Haejoong
Strassel, Stephanie
Maeda, Kazuaki
Date (W3CDTF):2013
Date Issued (W3CDTF):2013-10-16
Description:*Introduction* GALE Phase 2 Chinese Broadcast News Transcripts was developed by the Linguistic Data Consortium (LDC) and contains transcriptions of approximately 110 hours of Chinese broadcast news speech collected in 2006 and 2007 by LDC and Hong University of Science and Technology (HKUST), Hong Kong, during Phase 2 of the DARPA GALE (Global Autonomous Language Exploitation) Program. Corresponding audio data is released as GALE Phase 2 Chinese Broadcast News Speech (LDC2013S08). The source broadcast recordings feature news programs focusing principally on current events from the following sources: Anhui TV, a regional television station in Mainland China, Anhui Province; China Central TV (CCTV), a national and international broadcaster in Mainland China; and Phoenix TV, a Hong Kong-based satellite television station. *Data* The transcript files are in plain-text, tab-delimited format (TDF) with UTF-8 encoding, and the transcribed data totals 1,593,049 tokens. The transcripts were created with the LDC-developed transcription tool, XTrans, a multi-platform, multilingual, multi-channel transcription tool that supports manual transcription and annotation of audio recordings. XTrans is available from the following link, https://www.ldc.upenn.edu/language-resources/tools/xtrans. The files in this corpus were transcribed by LDC staff and/or by transcription vendors under contract to LDC. Transcribers followed the LDC quick transcription guidelines (QTR) and quick rich transcription specification (QRTR) both of which are included in the documentation with this release. QTR transcription consists of quick (near-)verbatim, time-aligned transcripts plus speaker identification with minimal additional mark-up. It does not include sentence unit annotation. QRTR annotation adds structural information such as topic boundaries and manual sentence unit annotation to the core components of a quick transcript. Files with QTR as part of the filename were developed using QTR transcription. Files with QRTR in the filename indicate QRTR transcription. *Samples* Please view this text sample. *Updates* None at this time. *Acknowledgement* This work was supported in part by the Defense Advanced Research Projects Agency, GALE Program Grant No. HR0011-06-1-0003. The content of this publication does not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred.
Extent:Corpus size: 14120 KB
Identifier:LDC2013T20
https://catalog.ldc.upenn.edu/LDC2013T20
ISBN: 1-58563-657-6
ISLRN: 097-396-657-690-1
Language:Mandarin Chinese
Chinese
Language (ISO639):cmn
zho
License:LDC User Agreement for Non-Members: https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf
Medium:Distribution: Web Download
Publisher:Linguistic Data Consortium
Publisher (URI):https://www.ldc.upenn.edu
Relation (URI):https://catalog.ldc.upenn.edu/docs/LDC2013T20
Rights Holder:Portions © 2007 Anhui TV, © 2006-2007 China Central TV, © 2006-2007 Phoenix TV, © 2006-2007, 2013 Trustees of the University of Pennsylvania
Type (DCMI):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:LDC2013T20
DateStamp:  2019-01-03
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Glenn, Meghan; Lee, Haejoong; Strassel, Stephanie; Maeda, Kazuaki. 2013. Linguistic Data Consortium.
Terms: area_Asia country_CN dcmi_Text iso639_cmn iso639_zho olac_primary_text


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Up-to-date as of: Mon Oct 21 9:16:49 EDT 2019