International audienceLexical resources have undergone significant changes with the generalized use of computers and the advent of the Internet. However, while such changes stand for revolutions when it comes to compare machine-readable dictionaries to their paper 'ancestors', machine-readable dictionaries, compiled for human readers, still have serious limitations. Natural language processing lexicons, initially developed for NLP applications, have shed light on some of such shortcomings. In this presentation, we will attempt to bring new elements relatively to NLP approaches aiming to develop present and tomorrow's lexical resources, in particular, using morphological and semantic information to better access lexical items. A special focu...
What makes a dictionary exploitable in Natural Language Processing (NLP)? We examine two requirement...
International audienceLexical resources are one of the main sources of linguistic information for re...
What makes a dictionary exploitable in Natural Language Processing (NLP)? We examine two requirement...
International audienceLexical resources have undergone significant changes with the generalized use ...
What makes a dictionary exploitable in Natural Language Processing (NLP)? We examine two requirement...
A user expresses her information need through words with a precise meaning, but from the machine poi...
Lexical resources are important components of natural language processing (NLP) applications providi...
A user expresses her information need through words with a precise meaning, but from the machine poi...
International audienceA survey of dictionary models and formats is presented as well as a presentati...
International audienceOne of the bottlenecks in Natural Language Processing for a given language is ...
Maurice Gross' grammar lexicon contains an extremly rich and exhaustive information about the morpho...
International audienceA survey of dictionary models and formats is presented as well as a presentati...
In this work we will show the role of lexical resources in machine translation processes, giving sev...
Proceedings of the 17th Nordic Conference of Computational Linguistics NODALIDA 2009. Editors: Kri...
What makes a dictionary exploitable in Natural Language Processing (NLP)? We examine two requirement...
What makes a dictionary exploitable in Natural Language Processing (NLP)? We examine two requirement...
International audienceLexical resources are one of the main sources of linguistic information for re...
What makes a dictionary exploitable in Natural Language Processing (NLP)? We examine two requirement...
International audienceLexical resources have undergone significant changes with the generalized use ...
What makes a dictionary exploitable in Natural Language Processing (NLP)? We examine two requirement...
A user expresses her information need through words with a precise meaning, but from the machine poi...
Lexical resources are important components of natural language processing (NLP) applications providi...
A user expresses her information need through words with a precise meaning, but from the machine poi...
International audienceA survey of dictionary models and formats is presented as well as a presentati...
International audienceOne of the bottlenecks in Natural Language Processing for a given language is ...
Maurice Gross' grammar lexicon contains an extremly rich and exhaustive information about the morpho...
International audienceA survey of dictionary models and formats is presented as well as a presentati...
In this work we will show the role of lexical resources in machine translation processes, giving sev...
Proceedings of the 17th Nordic Conference of Computational Linguistics NODALIDA 2009. Editors: Kri...
What makes a dictionary exploitable in Natural Language Processing (NLP)? We examine two requirement...
What makes a dictionary exploitable in Natural Language Processing (NLP)? We examine two requirement...
International audienceLexical resources are one of the main sources of linguistic information for re...
What makes a dictionary exploitable in Natural Language Processing (NLP)? We examine two requirement...