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A user-extensible and adaptable parser architecture

机译:用户可扩展且适应性强的解析器体系结构

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摘要

Some parsers need to be very precise and strict when parsing, yet must allow users to easily adapt or extend the parser to parse new inputs, without requiring that the user have an in-depth knowledge and understanding of the parser's internal workings. This paper presents a novel parsing architecture, designed for parsing Postfix log files, that aims to make the process of parsing new inputs as simple as possible, enabling users to trivially add new rules (to parse variants of existing inputs) and relatively easily add new actions (to process a previously unknown category of input). The architecture scales linearly or better as the number of rules and size of input increases, making it suitable for parsing large corpora or months of accumulated data.
机译:一些解析器在解析时需要非常精确和严格,但必须允许用户轻松地调整或扩展解析器以解析新的输入,而无需用户对解析器的内部工作有深入的了解和理解。本文提出了一种新颖的解析架构,旨在解析Postfix日志文件,该架构旨在使解析新输入的过程尽可能简单,使用户能够轻松添加新规则(解析现有输入的变体)并相对容易地添加新操作(处理以前未知的输入类别)。随着规则数量的增加和输入大小的增加,该体系结构线性地扩展或更好地扩展,使其适合于解析大型语料库或数月的累积数据。

著录项

  • 来源
    《Knowledge-Based Systems》 |2009年第7期|516-522|共7页
  • 作者

    John Tobin; Carl Vogel;

  • 作者单位

    School of Computer Science and Statistics, Trinity College, Dublin 2, Ireland;

    School of Computer Science and Statistics, Trinity College, Dublin 2, Ireland;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    parsing; postfix; anti-spam; log files;

    机译:解析后缀反垃圾邮件日志文件;

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