Learning Regular Languages over Large Ordered Alphabets

Learning Regular Languages over Large Ordered Alphabets

This work is concerned with regular languages defined over large alphabets, either infinite or just too large to be expressed enumeratively. We define a generic model where transitions are labeled by elements of a finite partition of the alphabet. We then extend Angluin’s L∗ algorithm for learning regular languages from examples for such automata. We have implemented this algorithm and we demon...

Learning Regular Languages over Large Alphabets

Learning regular languages is a branch of machine learning, which has been proved useful in many areas, including artificial intelligence, neural networks, data mining, verification, etc. On the other hand, interest in languages defined over large and infinite alphabets has increased in recent years. Although many theories and properties generalize well from the finite case, learning such langu...

Towards regular languages over in nite alphabets

Towards Regular Languages over Infinite Alphabets

Motivated by formal models recently proposed in the context of XML, we study automata and logics on strings over infinite alphabets. These are conservative extensions of classical automata and logics defining the regular languages on finite alphabets. Specifically, we consider register and pebble automata, and extensions of first-order logic and monadic second-order logic. For each type of auto...

Regular Expressions for Languages over Infinite Alphabets

In this paper we introduce a notion of a regular expression over infinite alphabets and show that a language is definable by an infinite alphabet regular expression if and only if it is acceptable by finite-state unification based automaton – a model of computation that is tightly related to other models of automata over infinite alphabets.