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A high-performance search (whether term-based or based on other things,
like dates) would yield a result denoting smallish segments of a very large
corpus, and this result could be interpreted by NLTK to delimit areas for
further processing.
(This could use the PyLucene API to interrogate Lucene; assuming a
text-only version of the annotated corpus was already indexed by Lucene.)
Migrated from http://code.google.com/p/nltk/issues/detail?id=268
The text was updated successfully, but these errors were encountered:
Suggested by Mark Liberman:
A high-performance search (whether term-based or based on other things,
like dates) would yield a result denoting smallish segments of a very large
corpus, and this result could be interpreted by NLTK to delimit areas for
further processing.
(This could use the PyLucene API to interrogate Lucene; assuming a
text-only version of the annotated corpus was already indexed by Lucene.)
Migrated from http://code.google.com/p/nltk/issues/detail?id=268
The text was updated successfully, but these errors were encountered: