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Natural language understanding and Montague grammar 1, 2
Author(s) -
Halvorsen PerKristian
Publication year - 1986
Publication title -
computational intelligence
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.353
H-Index - 52
eISSN - 1467-8640
pISSN - 0824-7935
DOI - 10.1111/j.1467-8640.1986.tb00069.x
Subject(s) - linguistics , computer science , emergent grammar , grammar , mildly context sensitive grammar formalism , semantics (computer science) , generative grammar , relational grammar , categorial grammar , perspective (graphical) , natural language processing , artificial intelligence , philosophy , programming language
This paper reevaluates some of the contributions of Montague grammar in view of the increasing importance of computational considerations in linguistic theory and the demand for linguistic theories that can provide support in the design of natural language systems. It also considers Montague grammar in relation to work on lexical semantics and semantic nets. In this perspective the techniques of Montague grammar for systematically linking syntactic form and a model‐theoretic semantics emerge as the most significant feature of the theory, while a number of the specific semantic assumptions recede in importance. Yet, with different ways of thinking about the structure mapping between levels of linguistic form and interpretations (e.g., constraint systems), we can also implement this connection using different techniques from what Montague had at his disposal.