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haakondr avatar haakondr commented on July 2, 2024

I used a combination of Stanford pos-tagger and MaltParser (both java libraries). I primarily used MaltParser because my supervisor recommended it, but I had alot of trouble with its memory consumption, so there might be better implementations out there.

http://nlp.stanford.edu/software/tagger.shtml
http://www.maltparser.org/

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manideepmoturi avatar manideepmoturi commented on July 2, 2024

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haakondr avatar haakondr commented on July 2, 2024

this SO post seems to cover how to use MaltParser from a Python runtime:

http://stackoverflow.com/questions/13207394/step-by-step-to-getting-malt-parser-in-nltk-to-work

I haven't tried this, but I would probably just go with running MaltParser with Java, and either setup a web API for live parsing or running MaltParser in a preprocessing step. I also published some utils code for doing dependency parsing, but I can't really say if it works, it's been a long time. Still, it may serve as an example:

https://github.com/haakondr/Dependency-Parser

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manideepmoturi avatar manideepmoturi commented on July 2, 2024

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haakondr avatar haakondr commented on July 2, 2024

Sure, it sounds interesting.

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