This file contains documentation on the MDE RT-04 Training Data Speech, Linguistic
Data Consortium (LDC) catalog number LDC2005S16 and ISBN 1-58563-355-0.
This corpus was created by Linguistic Data Consortium 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 Linguistic
Data Consortium. 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 the
creation of 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 and
standardized spelling, plus 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.
For an example of the data in this publication, please review this broadcast news sample and this telephone conversation sample.
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