RT-04 MDE Training Data Text/Annotations
| Item Name: | RT-04 MDE Training Data Text/Annotations |
| Author(s): | Christopher Walker, Stephanie Strassel, Elizabeth Shriberg, Yang Liu, Jeremy Ang, Haejoong Lee |
| LDC Catalog No.: | LDC2005T24 |
| ISBN: | 1-58563-358-5 |
| ISLRN: | 314-507-149-954-5 |
| DOI: | https://doi.org/10.35111/qwyc-cw15 |
| Release Date: | August 17, 2005 |
| Member Year(s): | 2005 |
| DCMI Type(s): | Text |
| Project(s): | EARS, GALE |
| Application(s): | metadata extraction |
| Language(s): | English |
| Language ID(s): | eng |
| License(s): |
LDC User Agreement for Non-Members |
| Online Documentation: | LDC2005T24 Documents |
| Licensing Instructions: | Subscription & Standard Members, and Non-Members |
| Citation: | Walker, Christopher, et al. RT-04 MDE Training Data Text/Annotations LDC2005T24. Web Download. Philadelphia: Linguistic Data Consortium, 2005. |
| Related Works: | View |
Introduction
RT-04 MDE Training Data Text/Annotations was developed by the Linguistic Data Consortium (LDC) and contains annotated transcripts of approximately 60 hours of English speech.
This corpus was created to provide training data for the RT-04 Fall Metadata Extraction (MDE) Evaluation, part of the DARPA EARS (Efficient, Affordable, Reusable Speech-to-Text) Program. This data set has been created and distributed by LDC. This data was previously released to the EARS MDE community as LDC2004E31.
The goal of MDE is to enable technology that can take raw Speech-to-Text output and refine it into forms that are of more use to humans and to downstream automatic processes. In simple terms, this means creating automatic transcripts that are maximally readable. This readability might be achieved in a number of ways: flagging non-content words like filled pauses and discourse markers for optional removal; marking sections of disfluent speech; and creating boundaries between natural breakpoints in the flow of speech so that each sentence or other meaningful unit of speech might be presented on a separate line within the resulting transcript. Natural capitalization, punctuation, standardized spelling, and sensible conventions for representing speaker turns and identity are further elements in the readable transcript. LDC has defined a SimpleMDE annotation task specification and has annotated English telephone and broadcast news data to provide training data for MDE.
The speech files corresponding to this release are available as RT-04 MDE Training Data Speech (LDC2005S16).
The World is a co-production of Public Radio International and the British Broadcasting Corporation and is produced at WGBH Boston.
Data
In this release, some original annotations contained in LDC2004E31 have been re-mapped to new MDE elements to support better annotation consistency. In particular, the mapping affects Discourse Responses (DR), Discourse Markers (DM), and Backchannel SUs (BC).
The data directories contain a variety of file formats: MDE AG XML (.ag.xml), RTTM (.rttm), and UEM (.uem) files. MDE AG XML is the LDC internal file format, RTTM is the official file format of the MDE program, and the UEM file specifies the portion of a speech file that is subject to MDE evaluation. The RTTM and UEM files have been generated using a conversion program developed by the National Institute of Standards and Technology (NIST).
Samples
For examples of the data in this corpus, please review the following .xml samples.
Updates
None at this time.
Copyright
Portions © 2004 Trustees of the University of Pennsylvania,© 2003 American Broadcasting Company,© 2003 National Broadcasting Company,© 2003 Public Radio International,© 2003 Cable News Network, Inc. All Rights Reserved,© 2003 National Cable Satellite CorporationThe World is a co-production of Public Radio International and the British Broadcasting Corporation and is produced at WGBH Boston.