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Subject: [boost] [gsoc 2013] Approximate string matching
From: Jan Strnad (hanny.strnad_at_[hidden])
Date: 2013-04-12 05:52:56
Hi, I'm Jan Strnad, currently a Master's student at CTU in Prague, Czech
Republic. This summer, I would like to participate in GSOC and I believe
that approximate string matching is a good match for me, since my
background i this area is quite strong.
Now more specifically. I would like to implement approximate string
matching algorithm(s) based on the NFA. I would like to support various
approximate distances, such as Hamming distance [1], Levenstein distance
[2], Damerau-Levenstein distance [3], Delta distance, Gamma distance and
finally (delta, gamma) distance. Sorry no explanation of the last three
found on the Web, but I can provide one if interested.
In the matter of NFA implementation, I would probably choose dynamic
programming approach, but I'm thinking of shift-or algorithm as well.
Can I ask you for any kind of thoughts or feedback regarding this topic?
Best regards,
Jan Strnad
[1] http://en.wikipedia.org/wiki/Hamming_distance
[2] http://en.wikipedia.org/wiki/Levenstein_distance
[3] http://en.wikipedia.org/wiki/Damerau%E2%80%93Levenshtein_distance
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