OLAC Record
oai:www.ldc.upenn.edu:LDC2017T18

Metadata
Title:GALE Phase 4 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 4 Chinese Broadcast News Transcripts LDC2017T18. Web Download. Philadelphia: Linguistic Data Consortium, 2017
Contributor:Glenn, Meghan
Lee, Haejoong
Strassel, Stephanie
Maeda, Kazuaki
Date (W3CDTF):2017
Date Issued (W3CDTF):2017-12-15
Description:*Introduction* GALE Phase 4 Chinese Broadcast News Transcripts was developed by the Linguistic Data Consortium (LDC) and contains transcriptions of approximately 134 hours of Chinese broadcast news speech collected in 2008 by LDC and Hong University of Science and Technology (HKUST), Hong Kong, during Phase 4 of the DARPA GALE (Global Autonomous Language Exploitation) Program. Corresponding audio data is released as GALE Phase 4 Chinese Broadcast News Speech (LDC2017S25). The broadcast news recordings feature news broadcasts focusing principally on current events from the following sources: China Central TV (CCTV), a national and international broadcaster in Mainland China; Phoenix TV, a Hong Kong-based satellite television station; and Voice of America (VOA), a U.S. government-funded broadcast programmer. *Data* The transcript files are in plain-text, tab-delimited format (TDF) with UTF-8 encoding, and the transcribed data totals 1,696,879 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 LDC's 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 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: 12896 KB
Identifier:LDC2017T18
https://catalog.ldc.upenn.edu/LDC2017T18
ISBN: 1-58563-824-2
ISLRN: 752-222-758-626-2
DOI: 10.35111/20f8-x526
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
Provenance:Collected by the Linguistic Data Consortium (LDC) in Philadelphia, PA, USA.
Publisher:Linguistic Data Consortium
Publisher (URI):https://www.ldc.upenn.edu
Relation (URI):https://catalog.ldc.upenn.edu/docs/LDC2017T18
Rights Holder:Portions © 2008 China Central TV, Phoenix TV, © 2008, 2017 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:LDC2017T18
DateStamp:  2020-11-30
GetRecord:  OAI-PMH request for simple DC format

Search Info

Citation: Glenn, Meghan; Lee, Haejoong; Strassel, Stephanie; Maeda, Kazuaki. 2017. Linguistic Data Consortium.
Terms: area_Asia country_CN dcmi_Text iso639_cmn iso639_zho olac_primary_text


http://www.language-archives.org/item.php/oai:www.ldc.upenn.edu:LDC2017T18
Up-to-date as of: Tue Sep 10 8:12:40 EDT 2024