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<div align="center"> LDC2005T14<br>
<a
href="http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2005T14">Chinese
Gigaword Release Second Edition
</a><br>
<br>
LDC2005S16
<br>
<a
href="http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2005S16">MDE
RT-04 Training Data Speech</a>
<br>
<br>
LDC2005T24<br>
<a
href="http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2005T24">MDE
RT-04 Training Data Text/Annotations</a>
<br>
<br>
<br>
<font face="Times New Roman">T</font><big><font face="Times New Roman"><small>he
Linguistic Data Consortium
(LDC) would like to announce the availability of three new corpora.</small></font></big></div>
<br>
<hr size="2" width="100%"><br>
(1) <a
href="http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2005T14">Chinese
Gigaword Release Second Edition</a> is a comprehensive archive of
newswire text data in Chinese that has been acquired over several years
by the LDC.
<br>
This release includes all of the contents in the first release of the
Chinese Gigaword corpus (LDC2003T09), material from one new source, as
well as new materials from the other two sources. Thus, the corpus
contains three distinct international sources of Chinese newswire -
Central News Agency, Taiwan, Xinhua News Agency, and Zaobao.
<br>
<br>
Some minor updates to the documents from the first release have been
made; namely, the text portions of "story" type documents have been
line-wrapped such that each line does not exceed 40 characters.
Documents of the other types have not been modified. <br>
<br>
(2) <a
href="http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2005S16">MDE
RT-04 Training Data Speech</a> 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.
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. <br>
<br>
(3)<a
href="http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2005T24">
MDE RT-04 Training Data Text/Annotations</a> 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. In this release, some original annotations 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). <br>
<br>
<br>
<hr size="2" width="100%"><br>
<br>
<div align="center"><big><font face="Times New Roman"><small>If you
need further
information, or would like to inquire about
membership to the LDC, please email <a class="moz-txt-link-abbreviated"
href="mailto:ldc@ldc.upenn.edu">ldc@ldc.upenn.edu</a> or call +1 215
573 2175.<br>
<br>
</small></font></big></div>
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<pre class="moz-signature" cols="72">Linguistic Data Consortium Phone: (215) 573-1275
3600 Market Street Fax: (215) 573-2175
Suite 810 <a
class="moz-txt-link-abbreviated" href="mailto:ldc@ldc.upenn.edu">ldc@ldc.upenn.edu</a>
Philadelphia, PA 19104 <a
class="moz-txt-link-freetext" href="http://www.ldc.upenn.edu">http://www.ldc.upenn.edu</a></pre>
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