These two poles involve a variety of actors and agents of differing social and institutional status, all exercising varying degrees of influence on the language situation in question. The congress will address three thematic areas highlighting the full range of this continuum. The thematic development of each day will take place in a series of parallel sessions run by those having responded to the call for papers and whose contribution has been accepted by the scientific committee. 70.- VALS members SFr. It has been often noted that the limited attention paid by the machine learning community to text and speech data seems unjustified.
Lexical knowledge is often hard to compile by hand, and even harder to port and reuse.
NLP application systems have still a low impact on real world problems, mainly due to the costs related to reusability and customization of the required lexicons. In particular changes in the domain, causes changes in the lexical information required in the underlying natural language. Empirical, symbolic machine learning methods can be perfectly suited for this task like automatic acquisition and adaptation of this klnowledge. This is what we mean with adaptive NLP-driven systems. In the first session, a part from an invited talk, we expect to cover methodological issues.