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        <title>From Cases to Rules and Vice Versa: Robust Practical Parsing With Analogy</title>
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    <abstract>This article describes the architecture of the Survey Parser and discusses two major components related to the analogy-based parsing of unrestricted English. Firstly, it discusses the automatic generation of a large declarative formal grammar from a corpus that has been syntactically analysed. Secondly, it describes analogy-based parsing that employs both the automatically learned rules and the database of cases to determine the syntactic structure of the input string. Statistics are presented to characterise the performance of the parsing system.</abstract>
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%0 Conference Proceedings
%T From Cases to Rules and Vice Versa: Robust Practical Parsing With Analogy
%A Fang, Alex Chengyu
%S Proceedings of the Sixth International Workshop on Parsing Technologies
%D 2000
%8 feb" 23 25"
%I Association for Computational Linguistics
%C Trento, Italy
%F fang-2000-cases
%X This article describes the architecture of the Survey Parser and discusses two major components related to the analogy-based parsing of unrestricted English. Firstly, it discusses the automatic generation of a large declarative formal grammar from a corpus that has been syntactically analysed. Secondly, it describes analogy-based parsing that employs both the automatically learned rules and the database of cases to determine the syntactic structure of the input string. Statistics are presented to characterise the performance of the parsing system.
%U https://aclanthology.org/2000.iwpt-1.10
%P 77-88

Markdown (Informal)

[From Cases to Rules and Vice Versa: Robust Practical Parsing With Analogy](https://aclanthology.org/2000.iwpt-1.10) (Fang, IWPT 2000)

• From Cases to Rules and Vice Versa: Robust Practical Parsing With Analogy (Fang, IWPT 2000)

ACL

• Alex Chengyu Fang. 2000. From Cases to Rules and Vice Versa: Robust Practical Parsing With Analogy. In Proceedings of the Sixth International Workshop on Parsing Technologies, pages 77–88, Trento, Italy. Association for Computational Linguistics.