Demo: AZ Noun Phraser

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The Arizona Noun Phraser was developed by Ph.D. student Kristin M. Tolle at the University of Arizona, Artificial Intelligence Lab. The AZ Noun Phraser is made up of three major components, a tokenizer, a part-of-speech tagger, and a phrase generation tool. Written in ANSI C and designed to be platform independent, the AZ Noun Phraser has been successfully used in Unix, Irix, HP-UX, Solaris, and NT environments. This optimized and scalable natural language processing tool has also been used to process a variety of collections ranging from a few hundred documents to tens of millions of documents.


Users may be type or use the browser's cut-and-paste function to enter sentences into the submission box. The system will display a list of noun phrases identified in the text and the parts of speech associated with the phrases.


  Research Goal
  Approach & Methodology
  Team Members