Synchronous Context-Free Grammars (SCFGs), also known as syntax-directed translation schemata, are unlike context-free grammars in that they do not have a binary normal form. In general, parsing with SCFGs takes space and time polynomial in the length of the input strings, but with the degree of the polynomial depending on the permutations of the SCFG rules. We consider linear parsing strategies, which add one nonterminal at a time. We show that for a given input permutation, the problems of finding the linear parsing strategy with the minimum space and time complexity are both NP-hard.

Synchronous context-free grammars and optimal linear parsing strategies / Crescenzi, Pierluigi; Gildea, Daniel; Marino, Andrea; Rossi, Gianluca; Satta, Giorgio. - In: JOURNAL OF COMPUTER AND SYSTEM SCIENCES. - ISSN 0022-0000. - STAMPA. - 81:(2015), pp. 1333-1356. [10.1016/j.jcss.2015.04.003]

Synchronous context-free grammars and optimal linear parsing strategies

CRESCENZI, PIERLUIGI;Marino, Andrea;
2015

Abstract

Synchronous Context-Free Grammars (SCFGs), also known as syntax-directed translation schemata, are unlike context-free grammars in that they do not have a binary normal form. In general, parsing with SCFGs takes space and time polynomial in the length of the input strings, but with the degree of the polynomial depending on the permutations of the SCFG rules. We consider linear parsing strategies, which add one nonterminal at a time. We show that for a given input permutation, the problems of finding the linear parsing strategy with the minimum space and time complexity are both NP-hard.
2015
81
1333
1356
Crescenzi, Pierluigi; Gildea, Daniel; Marino, Andrea; Rossi, Gianluca; Satta, Giorgio
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1051078
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