There has recendy been a revival of interest in Categorial Grammars (CG) among computational linguists. The various versions noted below which extend pure CG by including operations such as functional composition have been claimed to offer simple and uniform accounts of a wide range of natural language (NL) constructions involving bounded and unbounded "movement" and coordination "reduction" in a number of languages. Such grammars have obvious advantages for computational applications, provided that they can be parsed efficiently. However, many of the proposed extensions engender proliferatingsemantically equivalent surface syntactic analyses.These "spuriousanalyses"have been claimed to compromise theirefficientparseability. The presentpaper descn~oesa simpleparsingalgorithmforour own "combinatory" extensionof CG. This algorithmoffersa uniform treatmentfor "spurious"syntacticambiguitiesand the "genuine" structuralambiguities which any processor must cope with, by exploiting the assodativRy of functional composition and the procedural neutrality of the combinatory rules of grammar in a bottom-up, left-to-fight parser which delivers all semantically distinct analyses via a novel unification-based extension of chart-parsing.
CITATION STYLE
Pareschi, R., & Steedman, M. (1987). A lazy way to chart-parse with categorial grammars. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (Vol. 1987-July, pp. 81–88). Association for Computational Linguistics (ACL). https://doi.org/10.3115/981175.981187
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