1997 Mandarin Broadcast News Transcripts (HUB4-NE)

Item Name: 1997 Mandarin Broadcast News Transcripts (HUB4-NE)
Author(s): Shudong Huang, Jing Liu, Xuling Wu, Lei Wu, Yongmin Yan, Zhoakai Qin
LDC Catalog No.: LDC98T24
ISBN: 1-58563-126-4
ISLRN: 915-625-485-899-5
DOI: https://doi.org/10.35111/qrcj-k950
Member Year(s): 1998
DCMI Type(s): Text
Data Source(s): broadcast news
Project(s): Hub4, GALE, EARS
Application(s): speech recognition
Language(s): Mandarin Chinese
Language ID(s): cmn
License(s): 1997 Mandarin Broadcast News Agreement
Online Documentation: LDC98T24 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Huang, Shudong, et al. 1997 Mandarin Broadcast News Transcripts (HUB4-NE) LDC98T24. Web Download. Philadelphia: Linguistic Data Consortium, 1998.
Related Works: View


This collection consists of 30 hours of transcripts of Mandarin Chinese broadcast news recordings from the following sources: Voice of America (VOA), China Central TV (CCTV) and KAZN-AM, a commercial radio station based in Los Angeles, CA.

Of these three sources, the first two comprise the bulk of the collection and are represented in roughly equal amounts. Only a relatively small sample of KAZN-AM recordings is included, owing to the relatively high proportion of unusable material in that source(e.g., commercials, local traffic reports).

Corresponding audio files are released as 1997 Mandarin Broadcast News Speech (HUB4-NE) LDC98S73.


The transcripts were created by native speakers of Mandarin working at LDC. They are in GB-encoded form with SGML tags to identify story boundaries, speaker turn boundaries and phrasal pauses. The tags include time stamps to align the text with the speech data. Word segmentation (white-space between words) is included. A working DTD is provided, and the markup is consistent with that of the 1997 English and Spanish HUB4 collections.


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This 'members-only' corpora is available to current members who can request the data at the listed reduced-license fee. Contact ldc@ldc.upenn.edu for information about becoming a member.

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