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Polynomial-Time Inference of Paralleled Even Monogenic Pure Context-Free Languages

机译:并行甚至单基因的纯上下文无关语言的多项式时间推断

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We introduce a subclass of context-free lan- guages, called pure context-free (PCF) languages, which is gen- erated by context-free grammars with only one type of symbol (i.e., terminals and nonterminals are not distinguished), and consider the problem of identifying paralleled even monogenic pure context-free (pem-PCF) languages, PCF languages with restricted and enhanced features, from positive data only. In this paper we show that the ploblem o identifying the class of pem-PCF languages is reduced to the ploblem of identifying the class of monogenic PCF (mono-PCF), whose identifiability was shown in [11], by decomposing each string of pem-PCF lan- guages.
机译:我们介绍了一种上下文无关语言的子类,称为纯上下文无关(PCF)语言,它由仅具有一种符号类型的上下文无关语法生成(即,不区分终端和非终端),并且考虑仅从肯定数据中识别并行甚至单基因的纯无上下文(pem-PCF)语言,具有受限和增强功能的PCF语言的问题。在本文中,我们证明了通过分解每条pem字符串将识别pem-PCF语言类别的问题简化为识别单基因PCF(mono-PCF)类的问题,该问题的可识别性已在[11]中显示。 -PCF语言。

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