[Corpora-List] LDC News - March 2011
Linguistic Data Consortium
ldc at ldc.upenn.edu
Tue Mar 22 17:54:59 UTC 2011
/In this newsletter:/**
**
**- *Spring 2011 LDC Data Scholarship Recipients* - <#scholar>
*****- LDC at NEALLT 2011 <#nea>**-*****
**
/New publications:/**
**
***- * *2008/2010 NIST Metrics for Machine Translation (MetricsMaTr)
GALE Evaluation Set* <#matr>* -*****
**
*****- NIST/USF Evaluation Resources for the VACE Program -- Meeting
Data Training Set Part 1 <#vace>** -*****
*****
*
------------------------------------------------------------------------
*Spring 2011 LDC Data Scholarship Recipients*
LDC is pleased to announce the student recipients of the Spring 2011 LDC
Data Scholarship program! The LDC Data Scholarship program provides
university students with access to LDC data at no-cost. Students were
asked to complete an application which consisted of a proposal
describing their intended use of the data, as well as a letter of
support from their thesis adviser. LDC received many solid applications
from both undergraduate and graduate students attending universities
across the globe. After careful deliberation, we have chosen eight
proposals to support. These students will receive no-cost copies of
LDC data:
Roberto Aceves - Monterrey Institute of Technology and Superior
Studies, ITESM (Mexico), graduate student, Computer Science.
Roberto has been awarded a copy of /Speech in Noisy Environments
(SPINE2) Part 1 Audio/ and /Transcripts/ (LDC2001S04 and LDC2001T05)
for his research in automatic speech recognition in noisy environments.
Daniel Escobar - Monterrey Institute of Technology and Superior
Studies, ITESM (Mexico), graduate student, Mechatronics and
Automation. Daniel has been awarded a copy of /
Switchboard-2 Phase I (LDC98S75) /and/2003 NIST Spearker Recognition
Evaluation (LDC2010S03)/for designing a parallel joint factor
analysis architecture for a speaker verification system.
Erhan Guven - The George Washington University (USA), graduate
student, Computer Science. Erhan has been awarded a copy of
/Emotional Prosody (LDC2002S28)/ for his work in classifying
emotions based on features in spectrograms.
Anup Kolya - Jadavpur University (India), graduate student, Computer
Science and Engineering. Anup has been awarded a copy of /ACE 2005
English SpatialML Annotations (LDC2008T03), ACE Time Normalization
(TERN) 2004 English Evaluation Data V1.0 (LDC2010T18), /and/ ACE
Time Normalization (TERN) 2004 English Training Data v 1.0
(LDC2005T07) /for his research in temporal information extraction.
Benjamín Martínez Elizalde - Monterrey Institute of Technology and
Superior Studies, ITESM (Mexico), graduate student, Computer
Science. Benjamín has been awarded a copy of /Switchboard-1 Release
2 (LDC97S62) /and/2002 NIST Spearker Recognition Evaluation
(LDC2004S04)/// //to support his research in speaker verification
modeling.
Hanan Waer - Newcastle University (UK), graduate student,
Educational and Applied Linguistics. Hanan has been awarded a copy
of /CALLHOME Egyptian Arabic Transcripts (LDC97T19)/, /CALLHOME
Egyptian Arabic Transcripts Supplement (LDC2002T38)/, and /Egyptian
Colloquial Arabic Lexicon (LDC99L22)/ for her research in comparing
Arabic/English code switching in everyday Arabic conversation and
academic discourse.
Muhua Zhu - Northeastern University (China), graduate student,
Natural Language Processing. Muhua has been awarded a copy of
/Chinese Treebank 7.0/ (LDC2010T07) to support the development of a
high-accuracy Chinese parser.
Vignesh Kalaiselvan, Ganapathy Raman Kasi, Preetham Samue,
Ramsrinivas Anantharamakrishnan, and Sathyanarayan Jeevan - Amrita
Vishwa Vidyapeetham University (India), undergraduate students,
Electronics and Communication Engineering - the group has been
awarded /CALLHOME Speech, Transcripts, /and/Lexicon/ in Egyptian
Arabic and German for their research in deriving robust features for
multilingual acoustic modeling.
Please join us in congratulating our student winners! The next LDC
Data Scholarship program is scheduled for the Fall 2011 semester.
*LDC at NEALLT 2011
*
LDC will be exhibiting at the upcoming NEALLT (North East Association
for Language Learning Technology) conference, which will be held at the
University of Pennsylvania from 1-3 April 2011. NEALLT
<http://neallt.org/> is the regional chapter of the International
Association for Language Learning Technology and works to improve
language instruction through the use of technology.
How resources developed and distributed by LDC can aid language
education will be discussed by LDC's Dr Mohamed Maamouri in the
presentation "Incorporating Resources and New Technologies in Language
Education" on Saturday, April 2 (Session 9: 4.00-4.20 pm, Cohen G17).
That presentation will highlight the LDC Arabic Reading Enhancement Tool
<http://projects.ldc.upenn.edu/art/>, designed to support the
development of reading skills for learning Arabic as a first and second
language.
*New Publications*
**
*
***(1) 2008/2010 NIST Metrics for Machine Translation (MetricsMaTr) GALE
Evaluation Set (LDC2011T05)
<http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2011T05>
is a package containing source data, reference translations, machine
translations and associated human judgments used in the NIST 2008 and
2010 MetricsMaTr evaluations. The package was compiled by researchers at
NIST, making use of Arabic and Chinese broadcast, newswire and web data
and reference translations collected and developed by LDC for Phase 2
and Phase 2.5 of the DARPA GALE
<http://projects.ldc.upenn.edu/gale/index.html>program.
NIST MetricsMaTr <http://www.itl.nist.gov/iad/mig/tests/metricsmatr/> is
a series of research challenge events for machine translation (MT)
metrology, promoting the development of innovative MT metrics that
correlate highly with human assessments of MT quality. Participants
submit their metrics to NIST (National Institute of Standards and
Technology). NIST runs those metrics on certain held-back test data for
which it has human assessments measuring quality and then calculates
correlations between the automatic metric scores and the human
assessments. Specifically, the goals of MetricsMATR are: to inform other
MT technology evaluation campaigns and conferences with regard to
improved metrology; to establish an infrastructure that encourages the
development of innovative metrics; to build a diverse community that
will bring new perspectives to MT metrology research; and to provide a
forum for MT metrology discussion and for establishing future directions
of MT metrology.
The first MetricsMaTr challenge was held in 2008
<http://www.itl.nist.gov/iad/mig/tests/metricsmatr/2008/>; the
development data from the 2008 program is available from LDC, 2008 NIST
Metrics for Machine Translation (MetricsMATR08) Development Data
LDC2009T05
<http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2009T05>. The
MetricsMaTr10 evaluation plan
<https://secure.ldc.upenn.edu/intranet/docs/NISTMetricsMaTr10EvalPlan.pdf>
is included in this release.
This release contains 149 documents with corresponding reference
translations (Arabic-to-English and Chinese-to-English), system
translations and human assessments. The human assessments include the
following: Adequacy7 (a 7-point scale for judging the meaning of a
system translation with respect to the reference translation); Adequacy
Yes/No (whether the given system segment meant essentially the same as
the reference translation); Preference (the judges' preference between
two candidate translations when compared to a human reference
translation); and HTER (Human Targeted Error Rate, human edits to a
system translation to have the same meaning as a reference translation).
** *
(2) NIST/USF Evaluation Resources for the VACE Program -- Meeting Data
Training Set Part 1 (LDC2011V01)
<http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2011V01>
was developed by researchers at the Department of Computer Science and
Engineering <http://www.cse.usf.edu/>, University of South Florida
(USF), Tampa, Florida and the Multimodal Information Group
<http://nist.gov/itl/iad/mig/> at the National Institute of Standards
and Technology (NIST). It contains approximately fifteen hours of
meeting room video data collected in 2001 and 2002 at NIST's Meeting
Data Collection Laboratory and annotated for the VACE (Video Analysis
and Content Extraction Program) 2005 face, person and hand detection and
tracking tasks.
The VACE program was established to develop novel algorithms for
automatic video content extraction, multi-modal fusion, and event
understanding. During VACE Phases I and II, the program made significant
progress in the automated detection and tracking of moving objects
including faces, hands, people, vehicles and text in four primary video
domains: broadcast news, meetings, street surveillance, and unmanned
aerial vehicle motion imagery. Initial results were also obtained on
automatic analysis of human activities and understanding of video sequences.
Three performance evaluations were conducted under the auspices of the
VACE program between 2004 and 2007. The 2005 evaluation was
administered by USF in collaboration with NIST and guided by an advisory
forum including the evaluation participants.
NIST's Meeting Data Collection Laboratory is designed to collect corpora
to support research, development and evaluation in meeting recognition
technologies. It is equipped to look and sound like a conventional
meeting space. The data collection facility includes five Sony EV1-D30
video cameras, four of which have stationary views of a center
conference table with a fixed focus and viewing angle, and an additional
"floating" camera which is used to focus on particular participants,
whiteboard or conference table depending on the meeting forum. The data
is captured in a NIST-internal file format. The video data was extracted
from the NIST format and encoded using the MPEG-2 standard in NTSC format.
------------------------------------------------------------------------
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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