Issue 522 in nltk: UIMA-NLTK integration

[nl...@googlecode.com]

Status: New
Owner: ----
Labels: Type-Enhancement Priority-Medium

New issue 522 by crodriguezp: UIMA-NLTK integration
http://code.google.com/p/nltk/issues/detail?id=522

Create interconnectivity between NLTK & UIMA pipelines in order to combine
available modules and analysis engines from both architectures, maybe using
Jython as bridge. NLTK/Python rapid prototyping and versatility meets UIMA
robustness and adaptability.

Challenges:
- incompatible classes/"types" and CAS/"type system" frameworks
- stand-off annotation vs. python data classes
- java/python code packaging

Possible code reuse:
- PyCas by Ed Loper
- UIMA sandbox BSF Annotator

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Updates:
Labels: -Type-Enhancement Type-Project

Comment #1 on issue 522 by StevenBird1: UIMA-NLTK integration
http://code.google.com/p/nltk/issues/detail?id=522

Changing type to Project

[nl...@googlecode.com]

Updates:
Status: Wiki

Comment #2 on issue 522 by StevenBird1: UIMA-NLTK integration
http://code.google.com/p/nltk/issues/detail?id=522

Moved to NLTK wiki

[nl...@googlecode.com]

Comment #3 on issue 522 by mcmurr...@gmail.com: UIMA-NLTK integration
http://code.google.com/p/nltk/issues/detail?id=522

Has anyone moved on this issue at all?
PS: Jython would probably be very painful. I looked into it, and it is very
difficult to construct annotator pipelines

python -> Jython/XML -> Java UIMA --> CPE, CAS, Consumers

Very painful indeed.

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