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ISCApad Archive » 2019 » ISCApad #249 » Resources » Database » Linguistic Data Consortium (LDC) update (February 2019) |
ISCApad #249 |
Monday, March 11, 2019 by Chris Wellekens |
February 2019 Newsletter In this newsletter:
Only two weeks left to enjoy 2019 membership discounts
Spring 2019 LDC Data Scholarship recipients
LDC’s new language game
New publications: DEFT Chinese Committed Belief Annotation IARPA Babel Lithuanian Language Pack IARPA-babel304b-v1.0b Multi-Language Conversational Telephone Speech 2011 -- Arabic Group _____________________________________________________________________________
Only two weeks left to enjoy 2019 membership discounts There is still time to save on 2019 membership fees. Through March 1, all organizations receive a discount on the 2019 membership fee (up to 10%) when they choose to join or renew. For more information on membership benefits, visit Join LDC.
Spring 2019 LDC Data Scholarship recipients Congratulations to the recipients of LDC's Spring 2019 Data Scholarships: Colin Annand: University of Cincinnati (USA); PhD. Psychology. Colin is awarded a copy of Switchboard-1 Release 2 for his research involving the relationship between speech patterns and conversation content. Si Chen: Huazhong University of Science and Technology (China); B.S. Communication Engineering. Si is awarded a copy of ACE 2005 Multilingual Training Corpus for his work on event extraction. Noor-e-Hira: Fatima Jinnah Women University (Pakistan); MSc. Computer Sciences. Noor is awarded a copy of NIST 2008 Open Machine Translation (OpenMT) Evaluation for her research in machine translation. Matthew Roddy: Trinity College Dublin (Ireland); Ph.D. Electrical Engineering. Matthew is awarded copies of 2000 HUB5 English Evaluation Speech and Transcripts for his work in spoken dialogue systems. Ammara Zafar: Fatima Jinnah Women University (Pakistan); MSc Computer Sciences. Ammara awarded a copy of NIST 2009 Open Machine Translation (OpenMT) Evaluation for her research in machine translation. For information about the program, visit the Data Scholarship page. LDC’s new language game LDC’s new language game, NameThatLanguage, tests your skill at recognizing the language spoken in short audio clips. The game includes thousands of clips to prevent memorization and offers a real challenge that increases as you progress. In addition to being fun, the game provides useful data on language confusability and linguistic diversity. Game results will be shared freely for research. New clips and more languages continue to be added providing ongoing challenges and new research data. Help support language research by playing! https://namethatlanguage.org _____________________________________________________________________________
New publications:
(1) DEFT Chinese Committed Belief Annotation was developed by LDC and consists of approximately 83,000 tokens of Chinese discussion forum text annotated for 'committed belief,' which marks the level of commitment displayed by the author to the truth of the propositions expressed in the text.
DARPA's Deep Exploration and Filtering of Text (DEFT) program aimed to address remaining capability gaps in state-of-the-art natural language processing technologies related to inference, causal relationships, and anomaly detection. LDC supported the DEFT program by collecting, creating, and annotating a variety of data sources.
DEFT Chinese Committed Belief Annotation is distributed via web download.
2019 Subscription Members will automatically receive copies of this corpus. 2019 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for $1000.
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(2) IARPA Babel Lithuanian Language Pack IARPA-babel304b-v1.0b was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 210 hours of Lithuanian conversational and scripted telephone speech collected in 2013 and 2014 along with corresponding transcripts.
The Lithuanian speech in this release represents that spoken in the Auk?taitian and Samogitian dialect regions of Lithuania. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 71 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 Lithuanian Language Pack IARPA-babel304b-v1.0b is distributed via web download.
2019 Subscription Members will receive copies of this corpus provided they have submitted a completed copy of the special license agreement. 2019 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for $25.
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(3) Multi-Language Conversational Telephone Speech 2011 -- Arabic Group was developed by LDC and is comprised of approximately 117 hours of telephone speech in distinct dialects of colloquial Arabic: Iraqi, Levantine and Maghrebi.
The data were collected primarily to support research and technology evaluation in automatic language identification, and portions of these telephone calls were used in the NIST 2011 Language Recognition Evaluation (LRE). LRE 2011 focused on language pair discrimination for 24 languages/dialects, some of which could be considered mutually intelligible or closely related.
Multi-Language Conversational Telephone Speech 2011 -- Arabic Group is distributed via web download.
2019 Subscription Members will automatically receive copies of this corpus. 2019 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for $2500.
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(4) Multilingual ATIS was developed by Google Inc. and consists of 5,871 utterances from ATIS2 (LDC93S5), ATIS3 Training Data (LDC94S19), and ATIS3 Test Data (LDC95S26) annotated and translated into Hindi and Turkish.
The ATIS (Air Travel Information Services) collection was developed to support the research and development of speech understanding systems. Participants were presented with various hypothetical travel planning scenarios and asked to solve them by interacting with partially or completely automated ATIS systems. The resulting utterances were recorded and transcribed. Data was collected in the early 1990s at five US sites: Raytheon BBN, Carnegie Mellon University, MIT Laboratory for Computer Science, National Institute for Standards and Technology, and SRI International.
The original English utterances were manually translated into Hindi and Turkish. This release also includes the original English utterance and the machine translation back into English of the manual target language utterance translation. Each utterance is annotated with named entities via table lookup; markers include city, airline, airport names, and dates.
Multilingual ATIS is distributed via web download.
2019 Subscription Members will automatically receive copies of this corpus. 2019 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data at no cost.
Membership Office University of Pennsylvania T: +1-215-573-1275 E: ldc@ldc.upenn.edu M: 3600 Market St. Suite 810 Philadelphia, PA 19104
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