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A grammar compiler for connected speech recognition

机译:用于关联语音识别的语法编译器

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摘要

A compiler for constructing optimized syntactic digraphs from easily written grammar specifications is described. These are written in a language called grammar specification language (GSL). The compiler has a preprocessing (macroexpansion) phase, a parse phase, graph code generation and compilation phases, and three optimization phases. Digraphs can also be linked together by a graph linker to form larger digraphs. Language complexity is analyzed in a statistics phase. It is demonstrated that the optimization phase yields graphs with even greater efficiency than previously achieved by hand. Some preliminary speech recognition results of applying these techniques to intermediate and large graphs are discussed. With the introduction of these tools it is now possible to provide a speech recognition user with the ability to define new task grammars in the field. GSL has been used by several untutored users with good results. Experience with GSL indicates that it is a viable medium for quickly and accurately defining grammars for use in connected speech recognition systems.
机译:描述了一种用于根据易于编写的语法规范来构造优化的语法图的编译器。这些都是用称为语法规范语言(GSL)的语言编写的。编译器具有预处理(宏扩展)阶段,解析阶段,图形代码生成和编译阶段以及三个优化阶段。图也可以通过图链接器链接在一起以形成更大的图。在统计阶段分析语言的复杂性。事实证明,优化阶段产生的图形的效率比以前手动获得的效率更高。讨论了将这些技术应用于中大型图形的一些初步语音识别结果。通过引入这些工具,现在可以为语音识别用户提供在现场定义新任务语法的能力。 GSL已被数个未经培训的用户使用,效果很好。 GSL的经验表明,它是一种快速,准确地定义用于连接语音识别系统的语法的可行媒介。

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