TDT4 Multilingual Text and Annotations

Item Name: TDT4 Multilingual Text and Annotations
Author(s): Stephanie Strassel, Junbo Kong, David Graff
LDC Catalog No.: LDC2005T16
ISBN: 1-58563-339-9
ISLRN: 114-628-220-295-1
Release Date: May 15, 2005
Member Year(s): 2005
DCMI Type(s): Text
Data Source(s): broadcast news, newswire
Project(s): TIDES, TDT, GALE
Application(s): topic detection and tracking
Language(s): English, Standard Arabic, Mandarin Chinese
Language ID(s): eng, arb, cmn
License(s): LDC User Agreement for Non-Members
Online Documentation: LDC2005T16 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Strassel, Stephanie, Junbo Kong, and David Graff. TDT4 Multilingual Text and Annotations LDC2005T16. DVD. Philadelphia: Linguistic Data Consortium, 2005.

Introduction

This page contains documentation on the TDT4 Multilingual Text and Annotations, Linguistic Data Consortium (LDC) catalog number LDC2005T16 and ISBN 1-58563-339-9.

The TDT4 corpora were created by Linguistic Data Consortium with support from the DARPA TIDES (Translingual Information Detection, Extraction and Summarization) Program. This release contains the complete set of English, Arabic and Chinese news text (broadcast news transcripts and newswire data) used in the 2002 and 2003 Topic Detection and Tracking technology evaluations, along with topic annotations created for those evaluations. The audio corresponding to the broadcast news transcripts contained in this release can be found in LDC Publication LDC2005S11, TDT4 Multilingual Broadcast News Speech Corpus.

Topic Detection and Tracking (TDT) refers to automatic techniques for finding topically related material in streams of data such as newswire and broadcast news. Evaluation tasks in 2002 and 2003 included the segmentation of a news source into stories, the tracking of known topics, the detection of unknown topics, the detection of initial stories on unknown topics, and the detection of pairs of stories on the same topic.

Samples

To see an example of this corpus, please examine this sample. This sample is an English translation from an Arabic news broadcast. The translation is the product of the IBM Arabic to English translation engine.

The World is a co-production of Public Radio International and the British Broadcasting Corporation and is produced at WGBH Boston.

Available Media

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