Constituency parsing is the process of analyzing a sentence by dividing it into nested grammatical units called constituents. It helps natural language systems represent syntactic structure, such as noun phrases, verb phrases, and clauses.
Dividing a sentence into smaller grammatical structures ("constituents"). A later part of the ML system, such as a natural language understanding model, can parse the constituents more easily than the original sentence. For example, consider the following sentence: My friend adopted two cats. A constituency parser can divide this sentence into the following two constituents: - My friend is a noun phrase. - adopted two cats is a verb phrase. These constituents can be further subdivided into smaller constituents. For example, the verb phrase adopted two cats could be further subdivided into: - adopted is a verb. - two cats is another noun phrase.