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Computational coverage of type logical grammar: The Montague test

Authors: Morrill, Glyn; Valentín Fernández Gallart, José Oriol;

Computational coverage of type logical grammar: The Montague test

Abstract

It is nearly half a century since Montague made his contributions to the field of logical semantics. In this time, computational linguistics has taken an almost entirely statistical turn and mainstream linguistics has adopted an almost entirely non-formal methodology. But in a minority approach reaching back before the linguistic revolution, and to the origins of computing, type logical grammar (TLG) has continued championing the flags of symbolic computation and logical rigor in discrete grammar. In this paper, we aim to concretise a measure of progress for computational grammar in the form of the Montague Test. This is the challenge of providing a computational cover grammar of the Montague fragment. We formulate this Montague Test and show how the challenge is met by the type logical parser/theorem-prover CatLog2.

Peer Reviewed

Country
Spain
Related Organizations
Keywords

Parsing/theorem-proving, Parsing as deduction, Categorial grammar, Computational linguistics, Montague semantics, Lingüística computacional, Semantic parsing, Montague grammar, Type logical grammar, Computational grammar, Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average