Demo: AZ Noun
Phraser
[Start the demo]
|
| Introduction |
 |
| 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. |
|
| Instruction |
|
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.
|
|
|
| |
|
|
|
|
