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WeCanTalk: A New Multi-language, Multi-modal Resource for Speaker Recognition
The WeCanTalk (WCT) Corpus is a new multi-language, multi-modal resource for speaker recognition.
Reflections on 30 Years of Language Resource Development and Sharing
The Linguistic Data Consortium was founded in 1992 to solve the problem that limitations in access to shareable data was impeding progress in Human Language Technology research and development.
The NIEUW Project: Developing Language Resources through Novel Incentives
NIEUW leverages the power of novel incentives to elicit linguistic data and annotations from a wide variety of contributors including citizen scientists, game players, and language students and professionals.
LanguageARC: Developing Language Resources Through Citizen Linguistics
Like other Citizen Science platforms and projects, LanguageARC harnesses the power and efforts of volunteers who are motivated by the incentives of contributing to science, learning and discovery, and belonging to a community dedicated to social improvement.
A Progress Report on Activities at the Linguistic Data Consortium Benefitting the LREC Community
This latest in a series of Linguistic Data Consortium (LDC) progress reports to the LREC community does not describe any single language resource, evaluation campaign or technology but sketches the activities, since the last report, of a data center devoted to supporting the work of LREC attendees among other research communities.
Call My Net 2: A New Resource for Speaker Recognition
Speakers used a variety of handsets, including landline and mobile devices, and made VoIP calls from tablets or computers.
Multi-language Speech Collection for NIST LRE
The Multi-language Speech (MLS) Corpus supports NIST{'}s Language Recognition Evaluation series by providing new conversational telephone speech and broadcast narrowband data in 20 languages/dialects.
RESTful Annotation and Efficient Collaboration
As linguistic collection and annotation scale up and collaboration across sites increases, novel technologies are necessary to support projects.
Collecting Natural SMS and Chat Conversations in Multiple Languages: The BOLT Phase 2 Corpus
The DARPA BOLT Program develops systems capable of allowing English speakers to retrieve and understand information from informal foreign language genres.
New Directions for Language Resource Development and Distribution
Despite the growth in the number of linguistic data centers around the world, their accomplishments and expansions and the advances they have help enable, the language resources that exist are a small fraction of those required to meet the goals of Human Language Technologies (HLT) for the worldÂ’s languages and the promises they offer: broad access to knowledge, direct communication across language boundaries and engagement in a global community.
The Language Application Grid
The Language Application (LAPPS) Grid project is establishing a framework that enables language service discovery, composition, and reuse and promotes sustainability, manageability, usability, and interoperability of natural language Processing (NLP) components.
Annotation Trees: LDC's customizable, extensible, scalable, annotation infrastructure
In recent months, LDC has developed a web-based annotation infrastructure centered around a tree model of annotations and a Ruby on Rails application called the LDC User Interface (LUI).
