Computational semantics examines how the meaning of natural language expressions can be represented and processed on computers. It often relies on the insights of formal semantics and applies them to problems that can be computationally solved. Some of its key problems include computing the meaning of complex expressions by analyzing their parts, handling ambiguity, vagueness, and context-dependence, and using the extracted information in automatic reasoning. It forms part of computational linguistics, artificial intelligence, and cognitive science. Its applications include machine learning and machine translation.
computational semantics examines how the meaning of natural language expressions can be represented and processed on computers it often relies on the insights of formal semantics and applies them to problems that can be computationally solved some of its key problems include computing the meaning of complex expressions by analyzing their parts handling ambiguity vagueness and context-dependence and using the extracted information in automatic reasoning it forms part of computational linguistics artificial intelligence and cognitive science its applications include machine learning and machine translation