GitHub - aneesha/pylra: Automatically exported from code.google.com/p/pylra

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
utils		utils
xgoogle		xgoogle
README.txt		README.txt
lra.py		lra.py
lra_step1.py		lra_step1.py
lra_step2.py		lra_step2.py
lra_step3.py		lra_step3.py
lra_step4.py		lra_step4.py
lra_step5.py		lra_step5.py
persistence.py		persistence.py
search_corpus.py		search_corpus.py

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Prerequsites

python 2.6.x or 2.7.x [1]
nltk 2.0 or later [2]
	install wordnet
scipy 0.9 or later [3]

Syntax:

>>> import lra
>>> lra.calculate_latent_relational_similarity((word_x,word_y),(word_p,word_q))

Running samples

	$ python lra_step1.py
	$ python lra_step2.py
	$ python lra_step3.py
	$ python lra_step4.py
	$ python lra_step5.py

References
1. http://www.python.org/getit/
2. http://www.nltk.org/download
3. http://www.scipy.org/Installing_SciPy/Linux