Concept
Concept
Parsing algorithms are essential for analyzing and interpreting structured data, converting it into a format that can be easily processed by computers. They are fundamental in fields like compilers, natural language processing, and data serialization, enabling the transformation of raw input into a meaningful representation.
Concept
Constituency parsing is a type of syntactic parsing that breaks down a sentence into its constituent parts or phrases, reflecting the hierarchical structure of the sentence according to a given grammar. It is essential for understanding the syntactic structure of language, aiding in tasks such as machine translation, sentiment analysis, and information extraction.
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