[Corpora-List] News from LDC
Linguistic Data Consortium
ldc at ldc.upenn.edu
Tue Nov 1 20:05:33 UTC 2011
* Fall 2011 LDC Data Scholarships recipients
* <#scholar>
/New publications:/
LDC2011S08
*2008 NIST Speaker Recognition Evaluation Test Set * <#sre>
LDC2011T11
*Arabic Gigaword Fifth Edition * <#argig>
LDC2011T12
*Spanish Gigaword Third Edition* <#sp>
------------------------------------------------------------------------
*
**Fall 2011 LDC Data Scholarships recipients*
LDC is pleased to announce the student recipients of the Fall 2011 LDC
Data Scholarship program! The LDC Data Scholarship program provides
university students with access to LDC data at no-cost. Data
scholarships are offered twice a year to correspond to the Fall and
Spring semesters. Students are asked to complete an application which
consists of a data use proposal and letter of support from their
academic adviser.
LDC received many strong applications from students attending
universities across the globe. We've reviewed all the applications, and
after careful consideration, we have selected four scholarship
recipients! These students will receive no-cost copies of LDC data:
Haris B C - Indian Institute of Technology Guwahati (India),
Electronics & Electrical Engineering. Haris has been awarded a copy
of 2005 NIST Speaker Recognition Evaluation Training Data
(LDC2011S01) and 2005 NIST Speaker Recognition Evaluation Test Data
(LDC2011S04) to evaluate the performance of a sparse representation
speaker verification system.
Friðjón Guðjohnsen - Reykjavik University (Iceland), Computer
Science. Friðjón has been awarded a copy of Treebank-3 (LDC99T42)
to be used in the development of tagging methods to improve the
accuracy of tagging Icelandic texts.
Leili Javadpour - Louisiana State University (USA), Engineering
Science. Leili has been awarded a copy of BBN Pronoun Coreference
and Entity Type Corpus (LDC2005T33) and Message Understanding
Conference (MUC) 7 (LDC2001T02) for her work in pronominal anaphora
resolution.
Jad Makhlouta - American University of Beirut (Lebanon), Electrical
and Computer Engineering. Jad has been awarded a copy of LDC
Standard Arabic Morphological Analyzer (SAMA) Version 3.1
(LDC2010L01) for his work in Arabic text mining.
Please join us in congratulating our student recipients! Look for our
upcoming announcements about the submissions deadlines for the Spring
2012 LDC Data Scholarship program.
**
*New publications*
(1) 2008 NIST Speaker Recognition Evaluation Test Set
<http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2011S08>
was developed by LDC and NIST (National Institute of Standards and
Technology). It contains 942 hours of multilingual telephone speech and
English interview speech along with transcripts and other materials used
as test data in the 2008 NIST Speaker Recognition Evaluation (SRE)
<http://www.itl.nist.gov/iad/mig/tests/spk/2008/index.html>.
NIST SRE is part of an ongoing series of evaluations conducted by NIST.
They are intended to be of interest to all researchers working on the
general problem of text independent speaker recognition. The 2008
evaluation was distinguished from prior evaluations, in particular those
in 2005 and 2006, by including not only conversational telephone speech
data but also conversational speech data of comparable duration recorded
over a microphone channel involving an interview scenario.
LDC previously released the 2008 NIST SRE Training Set in two parts as
LDC2011S05
<http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2011S05>
and LDC2011S07
<http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2011S07>.
The speech data in this release was collected in 2007 by LDC at its
Human Subjects Data Collection Laboratories
<http://www.ldc.upenn.edu/About/facilities.shtml> in Philadelphia and by
the International Computer Science Institute
<http://www.icsi.berkeley.edu/> (ICSI) at the University of California,
Berkeley. This collection was part of the Mixer 5
<http://projects.ldc.upenn.edu/Mixer/> project, which was designed to
support the development of robust speaker recognition technology by
providing carefully collected and audited speech from a large pool of
speakers recorded simultaneously across numerous microphones and in
different communicative situations and/or in multiple languages. Mixer
participants were native English and bilingual English speakers. The
telephone speech in this corpus is predominantly English, but also
includes the above languages. All interview segments are in English.
Telephone speech represents approximately 368 hours of the data, whereas
microphone speech represents the other 574 hours.
English language transcripts in .cfm format were produced using an
automatic speech recognition (ASR) system.
*
(2) Arabic Gigaword Fifth Edition
<http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2011T11>
is a comprehensive archive of newswire text data that has been acquired
from Arabic news sources over several years by LDC. Arabic Gigaword
Fifth Edition includes all of the content of the fourth edition of
Arabic Gigaword (LDC2009T30
<http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2009T30>) plus
new data covering the period from January 1, 2009 through December 31, 2010.
Nine distinct sources of Arabic newswire are represented in this
distribution:
Asharq Al-Awsat (aaw_arb)
Agence France Presse (afp_arb)
Al-Ahram (ahr_arb)
Assabah (asb_arb)
Al Hayat (hyt_arb)
An Nahar (nhr_arb)
Al-Quds Al-Arabi (qds_arb)
Ummah Press (umh_arb)
Xinhua News Agency (xin_arb)
The seven-character codes shown above represent both the directory names
where the data files are found, and the 7-letter prefix that appears at
the beginning of every file name. The 7-letter codes consist of the
three-character source name IDs and the three-character language code
("arb") separated by an underscore ("_") character. The three-character
language code conforms to the ISO 639-3
<http://www.sil.org/iso639-3/default.asp> standard.
In addition to adding new data, the following updates were made:
Repeated documents in Asharq Al-Awsat data from 2008 were removed.
Document formatting and docid duplication problems were corrected in
Agence France Presse data.
Significant duplication of content in 2007-2008 An Nahar data was
detected, and the duplicated documents were removed.
*
(3) Spanish Gigaword Third Edition
<http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2011T12>
was produced by LDC. It is a comprehensive archive of Spanish newswire
text data that has been acquired over several years by LDC. Spanish
Gigaword Third Edition includes all of the content of the second edition
(LDC2009T21
<http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2009T21>) and
adds data collected from January 1, 2009 through December 31, 2010.
The three distinct international sources of Spanish newswire in this
edition, and the time spans of collection covered for each, are as follows:
Agence France-Presse, Spanish (afp_spa) May 1994 - Dec 2010
Associated Press, Spanish (apw_spa) Nov 1993 - Dec 2010
Xinhua News Agency, Spanish (xin_spa) Sep 2001 - Dec 2010
The seven-letter codes in the parentheses above include the
three-character source name abbreviations and the three-character
language code ("spa") separated by an underscore ("_") character. The
three-letter language code conforms to LDC's internal convention based
on the ISO 639-3 <http://www.sil.org/iso639-3/default.asp> standard.
All text data are presented in SGML/XML form, using a very simple,
minimal markup structure; all text consists of printable ASCII,
whitespace, and printable code points in the "Latin1 Supplement"
character table, as defined by both ISO-8859-1 and the Unicode Standard
(ISO 10646) for the "accented" characters used in Spanish. The
Supplement/accented characters are rendered using UTF-8 encoding.
------------------------------------------------------------------------
Ilya Ahtaridis
Membership Coordinator
--------------------------------------------------------------------
Linguistic Data Consortium Phone: 1 (215) 573-1275
University of Pennsylvania Fax: 1 (215) 573-2175
3600 Market St., Suite 810ldc at ldc.upenn.edu
Philadelphia, PA 19104 USAhttp://www.ldc.upenn.edu
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