It is to be noted that NLP toolsets have often been originally developed for implementing a single component or application. There can be at least two answers. Second, it is harder, and often impossible, to develop, debug and maintain a large NLP system directly written in a general programming language. Several software environments have been built around this flexible concept, which is closer to current trends in main stream software engineering. The workshop aims at providing a picture of the current problems faced by developers and users of toolsets, and future directions for the development and use of NLP toolsets.
Demonstrations are also welcome.
Audience Researchers and practitioners in Language Engineering, users and developers of tools and toolsets. The one-day workshop will include twelve presentation periods which will be divided into 20 minutes presentations followed by 10 minutes reserved for exchanges. We encourage the authors to focus on the salient points of their presentation and identify possible controversial positions. There will be ample time set aside for informal and panel discussions and audience participation. We prefer electronic submissions using either PDF or Postscript.