Applicative abstract categorial grammars in full swing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


Recently introduced Applicative Abstract Categorial Grammars (AACG) extend the Abstract Categorial Grammar (ACG) formalism to make it more suitable for semantic analyses while preserving all of its benefits for syntactic analyses. The surface form of a sentence, the abstract (tecto-) form, as well as the meaning are all uniformly represented in AACG as typed terms, or trees. The meaning of a sentence is obtained by applying to the abstract form a composition of elementary, deterministic but generally partial transformations. These term tree transformations are specified precisely and can be carried out mechanically. The rigor of AACG facilitates its straightforward implementation, in Coq, Haskell, Grammatical Framework, etc. We put AACG through its paces, illustrating its expressive power and positive as well as negative predictions on the wide range of analyses: gender-marked pronouns, quantifier ambiguity, scoping islands and binding, crossover, topicalization, and inverse linking. Most of these analyses have not been attempted for ACG. AACG offers a different perspective on linguistic side-effects, demonstrating compositionality not just of meanings but of transformations.

Original languageEnglish
Title of host publicationNew Frontiers in Artificial Intelligence - JSAI-isAI 2015 Workshops, LENLS, JURISIN, AAA, HAT-MASH, TSDAA, ASD-HR, and SKL, Revised Selected Papers
EditorsMihoko Otake, Ken Satoh, Setsuya Kurahashi, Yuiko Ota, Daisuke Bekki
Number of pages13
ISBN (Print)9783319509525
Publication statusPublished - 2017 Jan 1
Event7th JSAI International Symposium on Artificial Intelligence, JSAI-isAI 2015 - Kanagawa, Japan
Duration: 2015 Nov 162015 Nov 18

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10091 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other7th JSAI International Symposium on Artificial Intelligence, JSAI-isAI 2015

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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