Compilation of constraint-based contextual rules for part-of-speech tagging into finite state transducers

Authors:
Jorge Graña;Gloria Andrade;Jesús Vilares
Affiliations:
Departamento de Computación, Universidad de La Coruña, La Coruña, Spain;Departamento de Computación, Universidad de La Coruña, La Coruña, Spain;Departamento de Informática, Universidad de Vigo, Orense, Spain
Venue:
CIAA'02 Proceedings of the 7th international conference on Implementation and application of automata
Year:
2002

Citing 4
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Abstract

With the aim of removing the residuary errors made by pure stochastic disambiguation models, we put forward a hybrid system in which linguist users introduce high level contextual rules to be applied in combination with a tagger based on a Hidden Markov Model. The design of these rules is inspired in the Constraint Grammars formalism. In the present work, we review this formalism in order to propose a more intuitive syntax and semantics for rules, and we develop a strategy to compile the rules under the form of Finite State Transducers, thus guaranteeing an efficient execution framework.