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• W2611485926 abstract "Symbolic transducers extend classical finite state transducers to infinite or large alphabets like Unicode, and are a popular tool in areas requiring reasoning over string transformations where traditional techniques do not scale. Here we develop the theory for and an algorithm for computing quotients of such transducers under indistinguishability preserving equivalence relations over states such as bisimulation. We show that the algorithm is a minimization algorithm in the deterministic finite state case. We evaluate the benefits of the proposed algorithm over real-world stream processing computations where symbolic transducers are formed as a result of repeated compositions." @default.
• W2611485926 created "2017-05-12" @default.
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• W2611485926 date "2017-01-01" @default.
• W2611485926 modified "2023-09-25" @default.
• W2611485926 title "Minimization of Symbolic Transducers" @default.
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• W2611485926 doi "https://doi.org/10.1007/978-3-319-63390-9_10" @default.
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