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Emergent Parsing and Generation with Generalized Chart

HASIDA Koiti

cmp-lgarXiv:cmp-lg/9406025

Abstract

A new, flexible inference method for Horn logic program is proposed, which is a drastic generalization of chart parsing, partial instantiations of clauses in a program roughly corresponding to arcs in a chart. Chart-like parsing and semantic-head-driven generation emerge from this method. With a parsimonious instantiation scheme for ambiguity packing, the parsing complexity reduces to that of standard chart-based algorithms.

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