Showing posts with label LDC membership 2018. Show all posts
Showing posts with label LDC membership 2018. Show all posts

Friday, November 17, 2017

LDC November 2017 Newsletter

Join LDC for Membership Year 2018

Spring 2018 Data Scholarship Program
Commercial use and LDC data
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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.  
Visit 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 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 page for further information. 

New publications:

(1) ASpIRE Development and Development Test Sets was developed for the Automatic Speech recognition 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), 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 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 (Corpus de Investigación en Español de México del Posgrado de Ingeniería Eléctrica y Servicio Social) Light was developed by the Speech Processing Laboratory of the Faculty of Engineering at the National Autonomous University of Mexico (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.

CIEMPIESS Light is an updated version of CIEMPIESS, released by LDC as LDC2015S07. This "light" version contains speech and transcripts presented in a revised directory structure that allows for use with the Kaldi toolkit.

The speech recordings were collected from Podcast UNAM, a program created by Radio-IUS, and Mirador Universitario, 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 for a fee.

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(3) IARPA Babel Kurmanji Kurdish Language Pack IARPA-babel205b-v1.0a was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) 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 was developed by LDC and contains training and evaluation data produced in support of the TAC KBP Chinese Cross-lingual Entity Linking tasks in 201120122013 and 2014. 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).

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.

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.

Wednesday, October 18, 2017

LDC October 2017 Newsletter

LDC Awards Fall Data Scholarships

Membership Year 2018 Publication Preview

New Publications:RATS Keyword Spotting
MWE-Aware English Dependency Corpus Version 2.0 _________________________________________________________________________

LDC Awards Fall Data Scholarships
LDC is pleased to award fifteen data scholarships to students this fall. Recipients are from eight countries and a variety of academic disciplines. Twenty unique data sets are awarded to the students for their work in diverse applications including machine translation, abstractive text summarization using recurrent neural networks, speech recognition for multiple languages, semantic role labeling for social data, text summarization, speaker recognition for forensic applications, and more. Please look to LDC’s social media pages for upcoming announcements highlighting each recipient and their intended research.  Congratulations to all of our recipients! 

Membership Year 2018 Publication Preview
The 2018 Membership Year is just around the corner and plans for next year’s 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)
Check your inbox in the coming weeks for more information about membership renewal.



New publications:

(1) RATS Keyword Spotting was developed by  LDC and is comprised of approximately 3,100 hours of Levantine Arabic and Farsi conversational telephone speech with automatic and manual annotation of speech segments, transcripts, and keywords generated from transcript content. The corpus was created to provide training, development, and initial test sets for the keyword spotting (KWS) task in the DARPA RATS (Robust Automatic Transcription of Speech) program.

The source audio consists of conversational telephone speech recordings collected by LDC: (1) data collected for the RATS program from Levantine Arabic and Farsi speakers; and (2) material from Levantine Arabic QT Training Data Set 5, Speech (LDC2006S29) and CALLFRIEND Farsi Second Edition Speech (LDC2014S01). Transcripts of calls were either produced or available from the source corpora. Potential target keywords were selected from the transcripts based on word frequencies to fall within a range of target-word likelihood per hour of speech. The selected words were manually reviewed to confirm that each was a regular or multi-word expression of more than three syllables.

RATS Keyword Spotting is distributed via hard drive.

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.

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(2) English Web Treebank Propbank was developed by  University of Colorado Boulder - CLEAR (Computational Language and Education Research) and provides predicate-argument structure annotation for English Web Treebank (LDC2012T13).

The goal of Propbank (or proposition bank) annotation is to develop annotations with information about basic semantic propositions. English Web Treebank Propbank provides semantic role annotation and predicate sense disambiguation for roughly 50,000 predicates, corresponding to all verbs, all adjectives in equational clauses, and all nouns considered to be predicative. Mark-up is in the "unified" propbank annotation format, which combines representations in nouns, verbs, and adjectives. The source data consists of weblogs, newsgroups, email, reviews, and questions-answers.

English Web Treebank Propbank 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.

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(3)  Ancient Chinese Corpus was developed at Nanjing Normal University. It contains word-segmented and part-of-speech tagged text from Zuozhuan, an ancient Chinese work believed to date from the Warring States Period (475-221 BC). This release is part of a continuing project to develop a large, part-of-speech tagged ancient Chinese corpus. It consists of 180,000 Chinese characters and 195,000 segment units (including words and punctuation). The part-of-speech tag set was developed by Nanjing Normal University and contains 17 tags. The files are presented in UTF-8 plain text files using traditional Chinese script.

Ancient Chinese Corpus 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.

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(4) MWE-Aware English Dependency Corpus Version 2.0 was developed by the Nara Institute of Science and Technology Computational Linguistics Laboratory and consists of English compound function words annotated in dependency format. The data is derived from OntoNotes Release 5.0 (LDC2013T19).

Version 2.0 adds annotations of named entities (persons, locations, organizations) into dependency trees that are aware of compound function words. Version 1.0 is available from LDC as MWE-Aware English Dependency Corpus (LDC2017T01).

MWEs (multiword expressions) were identified in OntoNotes' phrase structure trees and each MWE was established as a single subtree. Those phrase structure subtrees were then converted to a dependency structure (the Stanford dependencies) in CoNLL format. The data is split into 1,728 phrase structure trees as *.parse files and a single 14-column tab separated dependency as a *.conll file. Both file types are encoded as UTF-8.

MWE-Aware English Dependency Corpus Version 2.0 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.