Re^2: Improving speed match arrays with fuzzy logic

Very nice suggestions, bliako, to improve my script! AI is for sure the way to go in many areas (not sure here). Unfortunately Perl offers almost nothing in the area (probably the only notable exception is AI::MXNet, but I haven't be able to configure and use it... I should give it another try)

Comment on Re^2: Improving speed match arrays with fuzzy logic

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Re^3: Improving speed match arrays with fuzzy logic by Anonymous Monk on Jan 19, 2019 at 11:58 UTC
If inflection (plural/singular) differences appear a lot then there is a module which converts a word to plural: Lingua::EN::Inflect. It is very simple to use and not slow. From manpage: `print "same\n" if PL_eq($word1, $word2);`. Phonix (and variations, e.g. Metaphone) are algorithms for collapsing words to a phonetic space (which is simpler for retrieval, e.g. w.r.t. spelling). There are modules available for doing that. It's probably worth applying fuzzy-distance to phonetic space and see if that works faster without loss of accuracy. Apropos MXNet, there is an LSTM module judging from this: https://metacpan.org/source/SKOLYCHEV/AI-MXNet-1.33/examples/char_lstm.pl . If you can make use of something like the procedure described in this: https://machinelearningmastery.com/sequence-classification-lstm-recurrent-neural-networks-python-keras/ Using MXNet's Perl modules requires you to download MXNet from https://mxnet.apache.org/versions/master/install/index.html?platform=Linux&language=Python&processor=CPU and install it, maybe compile it too.	[reply] [d/l]
Re^4: Improving speed match arrays with fuzzy logic by bliako (Monsignor) on Jan 19, 2019 at 12:00 UTC
that was bliako	[reply]
Re^5: Improving speed match arrays with fuzzy logic by erzuuli (Cannon) on Jan 19, 2019 at 16:27 UTC
When something like this happens, just /msg the gods. We can change the ownership of a node.	[reply]


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