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Alenanno
Alenanno
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There is an entire field looking at this question called "computational linguistics" "http://en.wikipedia.org/wiki/Computational_linguisticsComputational Linguistics". Looking at any online translation tool you can see that they still have a ways to go, but there has been a lot done on parsing English.

Stanford provides a robust English parser here http://nlp.stanford.edu:8080/parser/here with the homepage here http://nlp.stanford.edu/software/lex-parser.shtmlhere.

I recommend using an established library for your script rather than writing your own. There is no reason to reinvent the wheel, especially a wheel that contains the complications of the English language.

There is an entire field looking at this question called "computational linguistics" http://en.wikipedia.org/wiki/Computational_linguistics. Looking at any online translation tool you can see that they still have a ways to go, but there has been a lot done on parsing English.

Stanford provides a robust English parser here http://nlp.stanford.edu:8080/parser/ with the homepage here http://nlp.stanford.edu/software/lex-parser.shtml.

I recommend using an established library for your script rather than writing your own. There is no reason to reinvent the wheel, especially a wheel that contains the complications of the English language.

There is an entire field looking at this question called "Computational Linguistics". Looking at any online translation tool you can see that they still have a ways to go, but there has been a lot done on parsing English.

Stanford provides a robust English parser here with the homepage here.

I recommend using an established library for your script rather than writing your own. There is no reason to reinvent the wheel, especially a wheel that contains the complications of the English language.

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Jordan Bentley
Jordan Bentley
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There is an entire field looking at this question called "computational linguistics" http://en.wikipedia.org/wiki/Computational_linguistics. Looking at any online translation tool you can see that they still have a ways to go, but there has been a lot done on parsing English.

Stanford provides a robust English parser here http://nlp.stanford.edu:8080/parser/ with the homepage here http://nlp.stanford.edu/software/lex-parser.shtml. I would highly recommend using an established library such as this for your script rather than writing your own

I recommend using an established library for your script rather than writing your own. There is no reason to reinvent the wheel, especially a wheel that contains the complications of the English language.

There is an entire field looking at this question called "computational linguistics" http://en.wikipedia.org/wiki/Computational_linguistics. Looking at any online translation tool you can see that they still have a ways to go, but there has been a lot done on parsing English.

Stanford provides a robust English parser here http://nlp.stanford.edu:8080/parser/ with the homepage here http://nlp.stanford.edu/software/lex-parser.shtml. I would highly recommend using an established library such as this for your script rather than writing your own.

There is an entire field looking at this question called "computational linguistics" http://en.wikipedia.org/wiki/Computational_linguistics. Looking at any online translation tool you can see that they still have a ways to go, but there has been a lot done on parsing English.

Stanford provides a robust English parser here http://nlp.stanford.edu:8080/parser/ with the homepage here http://nlp.stanford.edu/software/lex-parser.shtml.

I recommend using an established library for your script rather than writing your own. There is no reason to reinvent the wheel, especially a wheel that contains the complications of the English language.

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Jordan Bentley
Jordan Bentley
  • 460
  • 1
  • 4
  • 11

There is an entire field looking at this question called "computational linguistics" http://en.wikipedia.org/wiki/Computational_linguistics. Looking at any online translation tool you can see that they still have a ways to go, but there has been a lot done on parsing English.

Stanford provides a robust English parser here http://nlp.stanford.edu:8080/parser/ with the homepage here http://nlp.stanford.edu/software/lex-parser.shtml. I would highly recommend using an established library such as this for your script rather than writing your own.