Constraint satisfaction for robust parsing of spoken language

被引：1

作者：

Menzel, W ^{[1
]}

机构：

[1] Univ Hamburg, Fachbereich Informat, D-22527 Hamburg, Germany

来源：

JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE | 1998年 / 10卷 / 01期

关键词：

D O I：

10.1080/095281398146923

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The eliminative nature of constraint satisfaction over finite domains offers an interesting potential for robustness in the parsing of spoken language. An approach is presented that puts unusually ambitious demands on the design of the constraint satisfaction procedure by trying to combine preferential reasoning, dynamic scheduling, parallel processing, and incremental constraint solving, within a coherent solution.

引用

页码：77 / 89

页数：13

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