Identifying Left-Right Deterministic Linear Languages

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Identifying Left-Right Deterministic Linear Languages
Abstract. Left deteministic linear languages are a subclass of the context free languages that includes all the regular languages. Recently was proposed an algorithm to identify in the limit with polynomial time and data such class of languages. It was also pointed that a symetric class, the right deterministic linear languages is also identifiable in the limit from polynomial time and data. In this paper we show that the class of the Left-Right Deterministic Languages formed by the union of both classes is also identifiable. The resulting class is the largest one for wich this type of results has been obtained so far. In this paper we also introduce the notion of n-negative characteristic sample, that is a sample that forces an inference algorithm to output an hypothesis of size bigger than n when strings from a nonidentifiable language are provided.
Jorge Calera-Rubio, José Oncina
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where ICGI
Authors Jorge Calera-Rubio, José Oncina
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