Parsing in AI refers to the process of analyzing and breaking down a sentence, phrase, or other form of natural language into its component parts, with the goal of understanding the intended meaning. It is a crucial step in natural language processing (NLP) and is used to extract information, identify relationships between words, and translate text into a structured representation. It is essential in developing question-answering systems, machine translation, and text classification.

There are two main types of parsing: syntactic parsing and semantic parsing. Syntactic parsing analyzes the grammatical structure of a sentence and determines the relationships between words and phrases. Semantic parsing goes a step further and assigns meaning to the structured representation created by syntactic parsing.

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