On lexicalized well-behaved restarting automata that are monotone

0Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

We introduce lexicalized well-behaved restarting automata as a model of the gradual lexicalized syntactic disambiguation of natural languages. This model presents a non-correctness preserving counter-part to the (correctness preserving) models of analysis by reduction of natural languages. We study two types of gradual relaxations of the correctness preserving property for monotone automata of this type. They lead to two infinite hierarchies of language classes. The basic levels of these hierarchies coincide with the class LRR of left-to-right regular languages, and the hierarchies exhaust the class of context-free languages. © 2010 Springer-Verlag Berlin Heidelberg.

Cite

CITATION STYLE

APA

Otto, F., Plátek, M., & Mráz, F. (2010). On lexicalized well-behaved restarting automata that are monotone. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6224 LNCS, pp. 352–363). https://doi.org/10.1007/978-3-642-14455-4_32

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free