pun-decomposition

Decomposition breaks a surface form into multiple valid parses, each revealing different interpretations. This Skill evaluates gestalt-aware decompositions using an ACSet schema to track surfaces, parses, morphemes, and meanings, enabling you to explore alternative linguistic structures within a single text.

A pun expands one surface form into multiple valid interpretations, each with its own decomposition. Understanding puns strengthens natural language processing by modeling ambiguity and alternative parses—core challenges in text interpretation workflows where context and inductive bias shape which parse is favored.

Inductive bias acts as a prior that models how context favors certain parses over others. This Skill implements multi-parse validation with bias control, letting you observe how prior assumptions influence which decomposition is selected from multiple valid alternatives.

Yes. This Skill applies directly to linguistic humor analysis by decomposing puns into their constituent parses and meanings. It models how ambiguity and alternative decompositions create the cognitive misdirection that drives humor recognition.

Decompositions are represented within an ACSet schema containing surfaces, parses, morphemes, and meanings. Each meaning includes text, trit values, and bias parameters, enabling triad-aware context modeling and schema-aware validation of alternative interpretations.

Use multi-parse validation when ambiguity is meaningful—in humor analysis, gestalt perception tasks, or schema-aware interpretation where alternative decompositions coexist validly. Single-parse approaches miss this structural richness; multi-parse modeling reveals how surface forms support competing valid interpretations.