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Update to Python 3 version on stringcomp.py file #27

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26 changes: 14 additions & 12 deletions nltk_contrib/stringcomp.py
Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@ def stringcomp (fx, fy):
This is an implementation of the string comparison algorithm (also known
as "string similarity") published by Qi Xiao Yang, Sung Sam Yuan, Li Zhao,
Lu Chun and Sun Peng in a paper called "Faster Algorithm of String
Comparison" ( http://front.math.ucdavis.edu/0112.6022 ). Please note that,
Comparison" ( https://arxiv.org/abs/cs/0112022 ). Please note that,
however, this implementation presents some relevant differences that
will lead to different numerical results (read the comments for more
details).
Expand Down Expand Up @@ -74,7 +74,7 @@ def stringcomp (fx, fy):
index = fy.find(pattern)
if index != -1:
ssnc += (2.*length)**2
if fx_removed == False:
if not fx_removed:
fx = fx[:i] + fx[i+length:]
fx_removed = True
fy = fy[:index] + fy[index+length:]
Expand All @@ -89,20 +89,22 @@ def stringcomp (fx, fy):


def demo ():
print "Comparison between 'python' and 'python': %.2f" % stringcomp("python", "python")
print "Comparison between 'python' and 'Python': %.2f" % stringcomp("python", "Python")
print "Comparison between 'NLTK' and 'NTLK': %.2f" % stringcomp("NLTK", "NTLK")
print "Comparison between 'abc' and 'def': %.2f" % stringcomp("abc", "def")

print "Word most similar to 'australia' in list ['canada', 'brazil', 'egypt', 'thailand', 'austria']:"
max_score = 0.0 ; best_match = None
print("Comparison between 'python' and 'python': {0:0.2f}".format(stringcomp("python", "python")))
print("Comparison between 'python' and 'Python': {0:0.2f}".format(stringcomp("python", "Python")))
print("Comparison between 'NLTK' and 'NTLK': {0:0.2f}".format(stringcomp("NLTK", "NTLK")))
print("Comparison between 'abc' and 'def': {0:0.2f}".format(stringcomp("abc", "def")))

print("Word most similar to 'australia' in list ['canada', 'brazil', 'egypt', 'thailand', 'austria']:")
max_score = 0.0
best_match = None
for country in ["canada", "brazil", "egypt", "thailand", "austria"]:
score = stringcomp("australia", country)
if score > max_score:
best_match = country
max_score = score
print "(comparison between 'australia' and '%s': %.2f)" % (country, score)
print "Word most similar to 'australia' is '%s' (score: %.2f)" % (best_match, max_score)

print("(comparison between 'australia' and '{0}': {1:0.2f})".format(country, score))
print("Word most similar to 'australia' is '{0}' (score: {1:0.2f})".format(best_match, max_score))


if __name__ == "__main__":
demo()