[Corpora-List] November 2017 Newsletter - LDC

Penn LDC ldc at ldc.upenn.edu
Fri Nov 17 20:55:56 CET 2017


In this newsletter:

Join LDC for Membership Year 2018

Spring 2018 Data Scholarship Program

Commercial use and LDC data

New Publications:

ASpIRE Development and Development Test Sets<https://catalog.ldc.upenn.edu/LDC2017S21>

CIEMPIESS Light<https://catalog.ldc.upenn.edu/LDC2017S23> IARPA Babel Kurmanji Kurdish Language Pack IARPA-babel205b-v1.0a<https://catalog.ldc.upenn.edu/LDC2017S22> TAC KBP Chinese Cross-lingual Entity Linking - Comprehensive Training & Evaluation Data 2011-2014<https://catalog.ldc.upenn.edu/LDC2017T17> _______________________________________________________________________________ Join LDC for Membership Year 2018

Membership Year 2018 (MY2018) is open for joining and discounts are available for those who keep their membership current and join early in the year. Now through March 1, 2018, current MY2017 members who renew before March 1 will receive a 10% discount off the membership fee. New or returning organizations will receive a 5% discount through March 1.

In addition to receiving new publications, current year LDC members also enjoy the benefit of licensing older data at reduced costs from our Catalog of over 700 holdings; current year for-profit members may use most data for commercial applications.

Plans for MY2018 publications are in progress. Among the expected releases are:

· Multilanguage conversational telephone speech: developed to support language identification research in related languages (Central Asian, Central European language groups)

· DIRHA (Distant-speech Interaction for Robust Home Applications): Wall Street Journal read speech with noise and reverberation, suitable for various multi-microphone signal processing and distant speech recognition tasks

· TRAD corpora: Chinese-French and Arabic-French parallel text (newswire, web data)

· IARPA Babel Language Packs (telephone speech and transcripts): languages include Cebuano, Guarani, Kazakh, Lithuanian, Telugu, Tok Pisin

· BOLT: discussion forum, SMS, word-aligned, and tagged data in all languages (Egyptian Arabic, English, Chinese)

· DEFT: Spanish Treebank (newswire, web data)

· RATS: Language Identification data set (Dari, Farsi, Levantine Arabic, Pashto, Urdu; degraded audio signals)

· TAC KBP: comprehensive English source and entity linked data (broadcast, telephone speech, newswire, web data)

· German children's handwriting: longitudinal study of weekly writing in classroom setting with enhanced output for specific spelling patterns And don't forget, MY2017 and MY2016 are still open for joining. MY2016 can be joined through December 31, 2017 and includes data such as BOLT Chinese Discussion Forums, IARPA Babel Language Packs in multiple languages and Multi-Language Conversational Telephone Speech - Slavic Group. MY 2017 will remain open through December 31, 2018; among the year's releases are 2010 NIST Speaker Recognition Evaluation Test Set, RATS Keyword Spotting, Noisy TIMIT Speech and BOLT Egyptian Arabic SMS/Chat and Transliteration. For full descriptions of these data sets, browse our Catalog<https://catalog.ldc.upenn.edu/byyear>.

Visit Join LDC<https://www.ldc.upenn.edu/members/join-ldc> for details on membership, user accounts and payment.

Spring 2018 Data Scholarship Program

Applications are now being accepted through January 15, 2018 for the Spring 2018 LDC Data Scholarship program which provides university students with no-cost access to LDC data. Consult the LDC Data Scholarship<https://www.ldc.upenn.edu/language-resources/data/data-scholarships> page for more information about program rules and submission requirements.

Commercial use and LDC data

For-profit organizations are reminded that an LDC membership is a pre-requisite for obtaining a commercial license to almost all LDC databases. Non-member organizations, including non-member for-profit organizations, cannot use LDC data to develop or test products for commercialization, nor can they use LDC data in any commercial product or for any commercial purpose. LDC data users should consult corpus-specific license agreements for limitations on the use of certain corpora. Visit the Licensing<https://www.ldc.upenn.edu/data-management/using/licensing> page for further information.

New publications:

(1) ASpIRE Development and Development Test Sets<https://catalog.ldc.upenn.edu/LDC2017S21> was developed for the Automatic Speech recognition In Reverberant Environments (ASpIRE) Challenge<https://www.iarpa.gov/index.php/working-with-iarpa/prize-challenges/306-automatic-speech-in-reverberant-environments-aspire-challenge> sponsored by IARPA (the Intelligent Advanced Research Projects Activity). It contains approximately 226 hours of English speech with transcripts and scoring files.

The audio data is a subset of Mixer 6 Speech (LDC2013S03<https://catalog.ldc.upenn.edu/LDC2013S03>), audio recordings of interviews, transcript readings and conversational telephone speech collected by LDC in 2009 and 2010 from native English speakers local to the Philadelphia area. The transcripts were developed by Appen<https://appen.com/> for the ASpIRE challenge.

Data is divided into development and development test sets.

ASpIRE Development and Development Test Sets is distributed via web download.

2017 Subscription Members will receive copies of this corpus provided they have submitted a completed copy of the special license agreement. 2017 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee.

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(2) CIEMPIESS Light<https://catalog.ldc.upenn.edu/LDC2017S23> (Corpus de Investigación en Español de México del Posgrado de Ingeniería Eléctrica y Servicio Social) Light was developed by the Speech Processing Laboratory<http://odin.fi-b.unam.mx/profesores/abelherrera/> of the Faculty of Engineering at the National Autonomous University of Mexico<http://www.unam.mx/> (UNAM) and consists of approximately 18 hours of Mexican Spanish radio and television speech and associated transcripts. The goal of this work was to create acoustic models for automatic speech recognition. For more information and documentation see the CIEMPIESS-UNAM Project website<http://www.ciempiess.org/>.

CIEMPIESS Light is an updated version of CIEMPIESS, released by LDC as LDC2015S07<https://catalog.ldc.upenn.edu/LDC2015S07>. This "light" version contains speech and transcripts presented in a revised directory structure that allows for use with the Kaldi<http://kaldi-asr.org/> toolkit.

The speech recordings were collected from Podcast UNAM<http://podcast.unam.mx/>, a program created by Radio-IUS<https://www.derecho.unam.mx/cultura-juridica/radio.php>, and Mirador Universitario<http://mirador.cuaed.unam.mx/>, a TV program broadcast by UNAM. They are comprised of spontaneous conversations in Mexican Spanish between a moderator and guests. The audio files are in 16 kHz, 16-bit PCM flac format, and transcripts are presented as UTF-8 encoded plain text.

CIEMPIESS Light is distributed via web download.

2017 Subscription Members will receive copies of this corpus. 2017 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data at no cost.

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(3) IARPA Babel Kurmanji Kurdish Language Pack IARPA-babel205b-v1.0a<https://catalog.ldc.upenn.edu/LDC2017S22> was developed by Appen<http://www.appen.com/> for the IARPA (Intelligence Advanced Research Projects Activity) Babel<http://www.iarpa.gov/index.php/research-programs/babel> program. It contains approximately 203 hours of Kurmanji Kurdish conversational and scripted telephone speech collected in 2013 and 2014 along with corresponding transcripts.

The Kurmanji Kurdish speech in this release represents that spoken in the southeastern and eastern Anatolian regions of Turkey. The gender distribution among speakers is approximately 37% female and 63% male; speakers' ages range from 16 years to 70 years. Calls were made using different telephones (e.g., mobile, landline) from a variety of environments including the street, a home or office, a public place, and inside a vehicle.

IARPA Babel Kurmanji Kurdish Language Pack IARPA-babel205b-v1.0a is distributed via web download.

2017 Subscription Members will receive copies of this corpus provided they have submitted a completed copy of the special license agreement. 2017 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee.

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(4) TACKBP Chinese Cross-lingual Entity Linking - Comprehensive Training & Evaluation Data 2011-2014<https://catalog.ldc.upenn.edu/LDC2017T17> was developed by LDC and contains training and evaluation data produced in support of the TAC KBP Chinese Cross-lingual Entity Linking tasks in 2011<http://tac.nist.gov/2011/KBP/index.html>, 2012<http://tac.nist.gov/2012/KBP/index.html>, 2013<http://tac.nist.gov/2013/KBP/index.html> and 2014<http://tac.nist.gov/2014/KBP/index.html>. It includes queries and gold standard entity type information, Knowledge Base links, and equivalence class clusters for NIL entities along with the source documents for the queries, specifically, English and Chinese newswire, discussion forum and web data. The corresponding knowledge base is available as TAC KBP Reference Knowledge Base (LDC2014T16<https://catalog.ldc.upenn.edu/LDC2014T16>).

The goal of TAC KBP's entity linking track is to measure systems' ability to determine whether an entity, specified by a query, has a matching node in a reference knowledge base and if so, to create a link between the two. If there is no matching node, entity linking systems are required to cluster the mention together with others referencing the same entity. More information about the TAC KBP Entity Linking task and other TAC KBP evaluations can be found on the NIST TAC website<https://tac.nist.gov/>.

TAC KBP Chinese Cross-lingual Entity Linking - Comprehensive Training and Evaluation Data 2011-2014 is distributed via web download.

2017 Subscription Members will receive copies of this corpus. 2017 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee.

Membership Office Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc at ldc.upenn.edu<mailto:ldc at ldc.upenn.edu> M: 3600 Market St. Suite 810

Philadelphia, PA 19104

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