GALE Phase 1 Chinese Broadcast News Parallel Text - Part 1

Item Name: GALE Phase 1 Chinese Broadcast News Parallel Text - Part 1
Author(s): Xiaoyi Ma, Stephanie Strassel
LDC Catalog No.: LDC2007T23
ISBN: 1-58563-443-3
ISLRN: 231-652-533-779-0
Release Date: September 17, 2007
Member Year(s): 2007
DCMI Type(s): Text
Data Source(s): transcribed speech, broadcast news
Project(s): GALE
Application(s): machine translation, cross-lingual information retrieval
Language(s): English, Mandarin Chinese
Language ID(s): eng, cmn
License(s): LDC User Agreement for Non-Members
Online Documentation: LDC2007T23 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Ma, Xiaoyi, and Stephanie Strassel. GALE Phase 1 Chinese Broadcast News Parallel Text - Part 1 LDC2007T23. Web Download. Philadelphia: Linguistic Data Consortium, 2007.

Introduction

This release is Part 1 of the three-part GALE Phase 1 Chinese Broadcast News Parallel Text, which, along with other corpora, was used as training data in year 1 (Phase 1) of the DARPA-funded GALE program. This corpus contains transcripts and English translations of 23.3 hours of Chinese broadcast news programming. As indicated below, a small number of audio files corresponding to the text in this corpus have been previously released.

Source Data

A total of 23.3 hours of Chinese broadcast news programming was selected from two sources, China Central TV (CCTV) (a broadcaster from Mainland China) and Phoenix TV (a Hong Kong-based satellite TV station). The transcripts and translations represent recordings of five different programs.

A manual selection procedure was used to choose data appropriate for the GALE program, namely, news programs focusing on current events. Stories on topics such as sports, entertainment news, and stock markets were excluded from the data set. The following table is a summary of the files included in this release.

Samples

Sponsorship

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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