GALE Phase 3 Chinese Broadcast Conversation Transcripts Part 1

Item Name: GALE Phase 3 Chinese Broadcast Conversation Transcripts Part 1
Author(s): Meghan Glenn, Haejoong Lee, Stephanie Strassel, Kazuaki Maeda
LDC Catalog No.: LDC2014T28
ISBN: 1-58563-700-9
ISLRN: 795-890-089-376-3
Release Date: December 15, 2014
Member Year(s): 2014
DCMI Type(s): Text
Data Source(s): broadcast conversation
Project(s): GALE
Application(s): speech recognition
Language(s): Mandarin Chinese, Chinese
Language ID(s): cmn, zho
License(s): LDC User Agreement for Non-Members
Online Documentation: LDC2014T28 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Glenn, Meghan, et al. GALE Phase 3 Chinese Broadcast Conversation Transcripts Part 1 LDC2014T28. Web Download. Philadelphia: Linguistic Data Consortium, 2014.

Introduction

GALE Phase 3 Chinese Broadcast Conversation Transcripts Part 1 was developed by the Linguistic Data Consortiume (LDC) and contains transcriptions of approximately 126 hours of Chinese broadcast conversation speech collected in 2007 by LDC and Hong University of Science and Technology (HKUST), Hong Kong, during Phase 3 of the DARPA GALE (Global Autonomous Language Exploitation) Program.

Corresponding audio data is released as GALE Phase 3 Chinese Broadcast Conversation Speech Part 1 (LDC2014S09).

The source broadcast conversation recordings feature interviews, call-in programs and roundtable discussions focusing principally on current events from the following sources: Anhui TV, a regional television station in Anhui Province, China; Beijing TV, a national television station in China; China Central TV (CCTV), a Chinese national and international broadcaster; Hubei TV, a regional television station in Hubei Province, 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 1,556,904 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.

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