July 2017
Beginner to intermediate
486 pages
13h 49m
English
Content preview from Python Natural Language Processing
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Natural language understanding
Earlier, we have seen that NLU is more about dealing with an understanding of the structure of the language, whether it is words, phrases, or sentences. NLU is more about applying various ML techniques on already generated NL. In NLU, we focus on syntax as well as semantics. We also try to solve the various types of ambiguities related to syntax and semantics. We have seen the lexical ambiguity, syntactic ambiguity, semantic ambiguity, and pragmatics ambiguity.
Now let's see where we can use AI that helps machines understand the language structure and meaning more accurately and efficiently. AI and ML techniques are not much behind to address these aspects of NL. To give an example, deep learning gives us an ...
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