| JMontyLingua (version 2.0) | index c:\work\montylingua-2.0\python\jmontylingua.py |
Module JMontyLingua.py
Java API for MontyLingua, please see MontyLingua module
for additional documentation and license information.
EXPLANATION OF FUNCTIONS:
@sig public String jist_predicates(String text)
- returns lisp-style predicate argument structures
- each structure should look something like this:
- ("verb" "subject" "obj1" "obj2" ... )
- words are all lemmatised, and determiners and
modals are stripped out
- obj's can be direct or indirect, but not
subordinate clauses for now.
- returns one pred-arg per line
- multiple pred-args are possible for a sentence
- blank line separates pred-args of each sentence
@sig public String tag_text(String text)
- takes in raw text.
- tokenizes and POS tags text using Brill94
tbl-based tagging and common sense
- uses Penn Treebank tagset
(http://www.cis.upenn.edu/~treebank/)
- returns one tagged sentence per line
@sig public String chunk_text(String text)
- takes in raw text.
- tokenizes, POS tags, and chunks tagset
in adjective chunks, noun chunks, and verb
chunks (AX, NX, and VX respectively)
- returns one chunked sentence per line
@sig public String lemmatise_text(String text)
- lemmatises raw text and outputs the form:
'These/DT/These sentences/NNS/sentence were/VBZ/be false/JJ/false'
(lemma follows the pos tag)
- returns one lemmatised sentence per line
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| __author__ = 'Hugo Liu <hugo@media.mit.edu>' __version__ = '2.0' | ||
| Author | ||
| Hugo Liu <hugo@media.mit.edu> | ||