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Korean Broadcast News Transcripts

Item Name: Korean Broadcast News Transcripts
Authors: Stephanie Strassel, Nii Martey, and David Graff
LDC Catalog No.: LDC2006T14
ISBN: 1-58563-399-2
Release Date: Aug 24, 2006
Data Type: text
Data Source(s): broadcast news
Application(s): machine translation, natural language processing
Language(s): Korean
Language ID(s): KOR
Distribution: Web Download
Member fee: $0 for 2006 members
Non-member Fee: US $200.00
Reduced-License Fee: US $200.00
Extra-Copy Fee: N/A
Non-member License: yes
Online documentation: yes
Licensing Instructions: Subscription Members, Standard Members, Non-Members
Citation: Stephanie Strassel, Nii Martey, and David Graff
2006
Korean Broadcast News Transcripts
Linguistic Data Consortium, Philadelphia

Introduction

This data set consists of 18 text files containing transcripts prepared by the LDC for Voice of America satellite radio news broadcasts in Korean. The broadcasts were recorded by the LDC at transmission time during a two week period between January 21, 2000 and February 7, 2000.

Data

Nine of the broadcasts are 30 minutes long, and the other nine broadcasts are 60 minutes long. The file names indicate the date (YYYYMMDD)and the begin and end times (HHMM EST) of the original transmission.

The character encoding is Unicode UTF-8, and the file contents are structured using SGML. The markup strategy used here was defined by NIST specifically for use in transcripts of broadcast news speech. The "docs" directory provides a working DTD file, a complete description (in the form of a PostScript file) of the document structure, tags and attributes, and a simple text file listing the 18 data file names in the corpus.

The transcripts have been manually time aligned at the phrasal level and annotated to identify boundaries between news stories and speaker turns; speaker names and gender are given where identifiable. These annotations are all provided via the SGML tags and their attributes.

A strong effort has been made to identify all unique speakers across the transcripts. However, there may be cases where an individual speaker has not been recognized and has been given a unique, anonymous identification.

Audio files for these transcripts are available as a separate corpus from the LDC: LDC2006S42.

Samples

For an example of the text in this corpus, please view this screenshot of the transcriptions.

Content Copyright

Portions © 2000, 2006 Trustees of the University of Pennsylvania


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