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Transducers with Origin Information

机译:具有起源信息的换能器

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Call a string-to-string function regular if it can be realised by one of the following equivalent models: MSO transductions, two-way deterministic automata with output, and streaming transducers with registers. This paper proposes to treat origin information as part of the semantics of a regular string-to-string function. With such semantics, the model admits a machine-independent characterisation, Angluin-style learning in polynomial time, as well as effective characterisations of natural subclasses such as one-way transducers or first-order definable transducers.
机译:如果可以通过以下等效模型之一来实现,则可以正常调用字符串对字符串函数:MSO转换,具有输出的双向确定性自动机以及具有寄存器的流转换器。本文建议将原始信息视为常规字符串对字符串函数的语义的一部分。有了这种语义,模型就可以接受机器无关的表征,多项式时间的Angluin式学习以及自然子类(如单向换能器或一阶可定义换能器)的有效表征。

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