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Interesting though those features were not required for yesterday's application. Now getting on to something more syntax / grammar interpretation related (ie. t
by contingencies 9y ago
Interesting though those features were not required for yesterday's application. Now getting on to something more syntax / grammar interpretation related (ie. to a basic level only, parse-the-structure-of-the-sentence - this part is a "verb phrase", that part is a "noun phrase", etc.) ... any idea what a good software library would be? I found https://spacy.io/ https://spacy.io/ + https://github.com/emilmont/pyStatParser https://github.com/emilmont/pyStatParser + http://spes.sourceforge.net/ http://spes.sourceforge.net/ + https://stackoverflow.com/questions/2699646/how-to-get-logical-parts-of-a-sentence-with-java/2703107#2703107 https://stackoverflow.com/questions/2699646/how-to-get-logic...
- PeterisP 9y agoSpacy is an option; for syntactic parsing, you might also want to take a look at Stanford CoreNLP (https://stanfordnlp.github.io/CoreNLP/ https://stanfordnlp.github.io/CoreNLP/) or NLTK (http://www.nltk.org/ http://www.nltk.org/) or SyntaxNet (https://github.com/tensorflow/models/tree/master/syntaxnet https://github.com/tensorflow/models/tree/master/syntaxnet).