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Found 15 result(s)
The Bavarian Archive for Speech Signals (BAS) is a public institution hosted by the University of Munich. This institution was founded with the aim of making corpora of current spoken German available to both the basic research and the speech technology communities via a maximally comprehensive digital speech-signal database. The speech material will be structured in a manner allowing flexible and precise access, with acoustic-phonetic and linguistic-phonetic evaluation forming an integral part of it.
The Text Laboratory provides assistance with databases, word lists, corpora and tailored solutions for language technology. We also work on research and development projects alone or in cooperation with others - locally, nationally and internationally. Services and tools: Word and frequency lists, Written corpora, Speech corpora, Multilingual corpora, Databases, Glossa Search Tool, The Oslo-Bergen Tagger, GREI grammar games, Audio files: dialects from Norway and America etc., Nordic Atlas of Language Structures (NALS) Journal, Norwegian in America, NEALT, Ethiopian Language Technology, Access to Corpora
MICASE provides a collection of transcripts of academic speech events recorded at the University of Michigan. The original DAT audiotapes are held in the English Language Institute and may be consulted by bona fide researchers under special arrangements. Additional access: https://lsa.umich.edu/eli/language-resources/micase-micusp.html
The focus of CLARIN INT Portal is on resources that are relevant to the lexicological study of the Dutch language and on resources relevant for research in and development of language and speech technology. For Example: lexicons, lexical databases, text corpora, speech corpora, language and speech technology tools, etc. The resources are: Cornetto-LMF (Lexicon Markup Framework), Corpus of Contemporary Dutch (Corpus Hedendaags Nederlands), Corpus Gysseling, Corpus VU-DNC (VU University Diachronic News text Corpus), Dictionary of the Frisian Language (Woordenboek der Friese Taal), DuELME-LMF (Lexicon Markup Framework), Language Portal (Taalportaal), Namescape, NERD (Named Entity Recognition and Disambiguation) and TICCLops (Text-Induced Corpus Clean-up online processing system).
META-SHARE, the open language resource exchange facility, is devoted to the sustainable sharing and dissemination of language resources (LRs) and aims at increasing access to such resources in a global scale. META-SHARE is an open, integrated, secure and interoperable sharing and exchange facility for LRs (datasets and tools) for the Human Language Technologies domain and other applicative domains where language plays a critical role. META-SHARE is implemented in the framework of the META-NET Network of Excellence. It is designed as a network of distributed repositories of LRs, including language data and basic language processing tools (e.g., morphological analysers, PoS taggers, speech recognisers, etc.). Data and tools can be both open and with restricted access rights, free and for-a-fee.
Språkbanken is a collection of Norwegian language technology resources, and a national infrastructure for language technology and research. Our mandate is to collect and develop language resources, and to make these available for researchers, students and the ICT industry which works with the development of language-based ICT solutions. Språkbanken was established as a language policy initiative, designed to ensure that language technology solutions based on the Norwegian language will be developed, and thereby prevent domain loss of Norwegian in technology-dependent areas, cf. Mål og meining (Report 35, 2007 – 2008). As of today the collection contains resources in both Norwegian Bokmål and Nynorsk, as well as in Swedish, Danish and Norwegian Sign Language (NTS).
>>>>>!!!<<<<< As of 01/12/2015, deposit of data on SLDR website will be suspended to allow the public opening of Ortolang platform https://www.ortolang.fr/#/market/home .>>>>>!!!<<<<<
ORTOLANG is an EQUIPEX project accepted in February 2012 in the framework of investissements d’avenir. Its aim is to construct a network infrastructure including a repository of language data (corpora, lexicons, dictionaries etc.) and readily available, well-documented tools for its processing. Expected outcomes comprize: promoting research on analysis, modelling and automatic processing of our language to their highest international levels thanks to effective resource pooling; facilitating the use and transfer of resources and tools set up within public laboratories to industrial partners, notably SMEs which often cannot develop such resources and tools for language processing given the cost of investment; promoting French language and the regional languages of France by sharing expertise acquired by public laboratories. ORTOLANG is a service for the language, which is complementary to the service offered by Huma-Num (très grande infrastructure de recherche). Ortolang gives access to SLDR for speech, and CNRTL for text resources.
CLARIN-LV is a national node of Clarin ERIC (Common Language Resources and Technology Infrastructure). The mission of the repository is to ensure the availability and long­ term preservation of language resources. The data stored in the repository are being actively used and cited in scientific publications.
The Linguistic Data Consortium (LDC) is an open consortium of universities, libraries, corporations and government research laboratories. It was formed in 1992 to address the critical data shortage then facing language technology research and development. Initially, LDC's primary role was as a repository and distribution point for language resources. Since that time, and with the help of its members, LDC has grown into an organization that creates and distributes a wide array of language resources. LDC also supports sponsored research programs and language-based technology evaluations by providing resources and contributing organizational expertise. LDC is hosted by the University of Pennsylvania and is a center within the University’s School of Arts and Sciences.
The goal of the Center of Estonian Language Resources (CELR) is to create and manage an infrastructure to make the Estonian language digital resources (dictionaries, corpora – both text and speech –, various language databases) and language technology tools (software) available to everyone working with digital language materials. CELR coordinates and organises the documentation and archiving of the resources as well as develops language technology standards and draws up necessary legal contracts and licences for different types of users (public, academic, commercial, etc.). In addition to collecting language resources, a system will be launched for introducing the resources to, informing and educating the potential users. The main users of CELR are researchers from Estonian R&D institutions and Social Sciences and Humanities researchers all over the world via the CLARIN ERIC network of similar centers in Europe. Access to data is provided through different sites: Public Repository https://entu.keeleressursid.ee/public-document, Language resources https://keeleressursid.ee/en/resources/corpora, and MetaShare CELR https://metashare.ut.ee/.
An increasing number of Language Resources (LT) in the various fields of Human Language Technology (HLT) are distributed on behalf of ELRA via its operational body ELDA, thanks to the contribution of various players of the HLT community. Our aim is to provide Language Resources, by means of this repository, so as to prevent researchers and developers from investing efforts to rebuild resources which already exist as well as help them identify and access those resources.
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Created in 2005 by the CNRS, CNRTL unites in a single portal, a set of linguistic resources and tools for language processing. The CNRTL includes the identification, documentation (metadata), standardization, storage, enhancement and dissemination of resources. The sustainability of the service and the data is guaranteed by the backing of the UMR ATILF (CNRS - Université Nancy), support of the CNRS and its integration in the excellence equipment project ORTOLANG .
The repository is part of the National Research Data Infrastructure initiative Text+, in which the University of Tübingen is a partner. It is housed at the Department of General and Computational Linguistics. The infrastructure is maintained in close cooperation with the Digital Humanities Centre, which is a core facility of the university, colaborating with the library and computing center of the university. Integration of the repository into the national CLARIN-D and international CLARIN infrastructures gives it wide exposure, increasing the likelihood that the resources will be used and further developed beyond the lifetime of the projects in which they were developed. Among the resources currently available in the Tübingen Center Repository, researchers can find widely used treebanks of German (e.g. TüBa-D/Z), the German wordnet (GermaNet), the first manually annotated digital treebank (Index Thomisticus), as well as descriptions of the tools used by the WebLicht ecosystem for natural language processing.
LINDAT/CLARIN is designed as a Czech “node” of Clarin ERIC (Common Language Resources and Technology Infrastructure). It also supports the goals of the META-NET language technology network. Both networks aim at collection, annotation, development and free sharing of language data and basic technologies between institutions and individuals both in science and in all types of research. The Clarin ERIC infrastructural project is more focused on humanities, while META-NET aims at the development of language technologies and applications. The data stored in the repository are already being used in scientific publications in the Czech Republic. In 2019 LINDAT/CLARIAH-CZ was established as a unification of two research infrastructures, LINDAT/CLARIN and DARIAH-CZ.