Resource: GALE Phase 4 Chinese Broadcast News Transcripts

Reference GALE Phase 4 Chinese Broadcast News Transcripts
Date of Submission Dec. 19, 2017, 4:30 p.m.
Status accepted
ISLRN 752-222-758-626-2
Resource Type Primary Text
Media Type Text
Source
Language Chinese, Mandarin Chinese
Format/MIME Type text/plain
Size 12896 KB
Access Medium Web Download
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.

*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.

Version 1.0
Creator Stephanie Strassel , Kazuaki Maeda , Meghan Glenn , Haejoong Lee
Distributor Linguistic Data Consortium
Rights Holder Portions © 2008 China Central TV, Phoenix TV, © 2008, 2017 Trustees of the University of Pennsylvania