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- 222 creator marc-kemps-snijders.
- 222 creator menzo-windhouwer.
- 222 creator peter-wittenburg.
- 222 creator sue-ellen-wright.
- 222 type InProceedings.
- 222 label "ISOcat: Corralling Data Categories in the Wild".
- 222 sameAs 222.
- 222 abstract "To achieve true interoperability for valuable linguistic resources different levels of variation need to be addressed. ISO Technical Committee 37, Terminology and other language and content resources, is developing a Data Category Registry. This registry will provide a reusable set of data categories. A new implementation, dubbed ISOcat, of the registry is currently under construction. This paper shortly describes the new data model for data categories that will be introduced in this implementation. It goes on with a sketch of the standardization process. Completed data categories can be reused by the community. This is done by either making a selection of data categories using the ISOcat web interface, or by other tools which interact with the ISOcat system using one of its various Application Programming Interfaces. Linguistic resources that use data categories from the registry should include persistent references, e.g. in the metadata or schemata of the resource, which point back to their origin. These data category references can then be used to determine if two or more resources share common semantics, thus providing a level of interoperability close to the source data and a promising layer for semantic alignment on higher levels.".
- 222 hasAuthorList authorList.
- 222 hasTopic Linguistics.
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- 222 keyword "LR Infrastructures and Architectures".
- 222 keyword "Metadata".
- 222 keyword "Standards for LRs".
- 222 title "ISOcat: Corralling Data Categories in the Wild".
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- 226 creator cristina-esteve-elizalde.
- 226 creator daniel-hernandez-lopez.
- 226 creator daniel-ramos.
- 226 creator doroteo-toledano.
- 226 creator javier-ortega-garcia.
- 226 creator joaquin-gonzalez-rodriguez.
- 226 creator julian-fierrez.
- 226 type InProceedings.
- 226 label "BioSec Multimodal Biometric Database in Text-Dependent Speaker Recognition".
- 226 sameAs 226.
- 226 abstract "In this paper we briefly describe the BioSec multimodal biometric database and analyze its use in automatic text-dependent speaker recognition research. The paper is structured into four parts: a short introduction to the problem of text-dependent speaker recognition; a brief review of other existing databases, including monomodal text-dependent speaker recognition databases and multimodal biometric recognition databases; a description of the BioSec database; and, finally, an experimental section in which speaker recognition results on some of these databases are presented and compared, using the same underlying speaker recognition technique in all cases.".
- 226 hasAuthorList authorList.
- 226 hasTopic Linguistics.
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- 226 keyword "Other".
- 226 keyword "Speech recognition and understanding".
- 226 keyword "Speech resource/database".
- 226 title "BioSec Multimodal Biometric Database in Text-Dependent Speaker Recognition".
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- 227 creator barbara-di-eugenio.
- 227 creator davide-fossati.
- 227 type InProceedings.
- 227 label "I saw TREE trees in the park: How to Correct Real-Word Spelling Mistakes".
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