On the Complexity of CCG Parsing

Autor: Peter Jonsson, Marco Kuhlmann, Giorgio Satta
Jazyk: angličtina
Rok vydání: 2018
Předmět:
FOS: Computer and information sciences
Linguistics and Language
Computer science
Formalism (philosophy)
02 engineering and technology
Mildly context-sensitive grammar formalism
Top-down parsing
computer.software_genre
Language and Linguistics
Language Technology (Computational Linguistics)
03 medical and health sciences
0302 clinical medicine
Parser combinator
Artificial Intelligence
0202 electrical engineering
electronic engineering
information engineering

Språkteknologi (språkvetenskaplig databehandling)
Parsing
Computer Science - Computation and Language
business.industry
lcsh:P98-98.5
Combinatory categorial grammar
Computer Science Applications
TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES
030221 ophthalmology & optometry
020201 artificial intelligence & image processing
S-attributed grammar
Top-down parsing language
Artificial intelligence
lcsh:Computational linguistics. Natural language processing
business
computer
Computation and Language (cs.CL)
Natural language processing
Zdroj: Computational Linguistics, Vol 44, Iss 3, Pp 447-482 (2018)
Popis: We study the parsing complexity of Combinatory Categorial Grammar (CCG) in the formalism of Vijay-Shanker and Weir (1994). As our main result, we prove that any parsing algorithm for this formalism will take in the worst case exponential time when the size of the grammar, and not only the length of the input sentence, is included in the analysis. This sets the formalism of Vijay-Shanker and Weir (1994) apart from weakly equivalent formalisms such as Tree-Adjoining Grammar (TAG), for which parsing can be performed in time polynomial in the combined size of grammar and input sentence. Our results contribute to a refined understanding of the class of mildly context-sensitive grammars, and inform the search for new, mildly context-sensitive versions of CCG.
39 pages, 17 figures
Databáze: OpenAIRE