There is a famous JMLR journal of Ronan Collobert called "Natural Language Processing (almost) from scratch" . I want to implement that. Can anyone let me know how should I proceed, which language will be appropriate for it ? I can go for torch or theano.
I will not recommend to do so.
Instead of wasting time on building from scratch, it would be good if you can use existing project (check GitHub and other opensource if available) and implement some novel features or enhance existing features.
For NLP programming, you may check Ruby and Python as well for fast development.
please let me know few already implemented program of the same ! @Rajiv Shav
Check which ever is suitable to you.
You may search further in the same directions using NLP Open source etc.
http://www.nltk.org/
https://opennlp.apache.org/
http://nlp.stanford.edu/software/
https://github.com/search?utf8=%E2%9C%93&q=NLP
thanks for response! but Im looking to SENNA (NLP from Scratch, Ronan Collobert 2011) implementation in python or some other language, so that i can change its features @Rajiv Shah
Try NLTK in Python. I've used it quite a bit and it's very useful.
http://www.nltk.org/
@Jonathan Can you please share the code with me ?
thanks in advance
That paper follows a very different approach to NLP. So libraries like NLTK will not help you. What I can suggest is search for Python and DeepLearning and then try to use one of those frameworks for your implementation. That way you won't need to implement NN parts (a huge undertaking) but just configure them for your project.
There are at least 2 Python libraries inspired from (and based partially upon) SENNA:
nlpnet - http://nilc.icmc.usp.br/nlpnet/
practNLPTools - https://github.com/biplab-iitb/practNLPTools
This library seems to give a good start - https://github.com/attardi/deepnl
Check https://github.com/klb3713/cw_word_embedding as well - might be useful.
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