January 2019
Intermediate to advanced
322 pages
7h 29m
English
Content preview from Hands-On Deep Learning with Apache Spark
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Parsing
Parsing in NLP is the process of determining the syntactic structure of a text. It works by analyzing the text constituent words and it bases itself on the underlying grammar of the specific language in which the text has been written. The outcome of parsing is a parse tree of each sentence part of the input text. A parse tree is an ordered, rooted tree that represents the syntactic structure of a sentence according to some context-free grammar (a set of rules that describe all the possible strings in a given formal language). Let's make an example. Consider the English language and the following example grammar:
sentence -> noun-phrase, verb-phrase
noun-phrase -> proper-noun
noun-phrase -> determiner, noun
verb-phrase -> verb, noun-phrase ...
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