What's the difference between the Stanford Core NLP and Python's native NLTK?
Enjoying all this immensely,
From: Code for Libraries [mailto:[log in to unmask]] On Behalf Of Molly Des Jardin
Sent: Wednesday, May 07, 2014 9:49 AM
To: [log in to unmask]
Subject: Re: [CODE4LIB] Python in Your Library
This is not a complex point, but I've been using Python about since it came out (since 2002) and have found it both flexible and very easy to learn and use. I'd recommend it as a scripting language for beginning programmers and those experimenting around.
Our library isn't using Python for any formal projects that I'm aware of, but I've used it in extracurricular projects to pre-process Japanese files for text analysis and plan to use it for further NLP experimentation now that Stanford Core NLP has had a Python wrapper written - although I haven't tried it out yet. (Aside, great - I used it in Java when it first was released and what a lot of extraneous code I had to write.) However, the library has been doing an informal "focused lab" in which we had a group get together and work through the Codecademy introduction to Python.
In terms of simplicity and ease of learning I highly recommend it, but others may have better recommendations too.
Molly Des Jardin
Japanese Studies Librarian
University of Pennsylvania
Molly C. Des Jardin, PhD