Compilation of constraint-based contextual rules for part-of-speech tagging into finite state transducers
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Compilation of constraint-based contextual rules for part-of-speech tagging into finite state transducersDate
2002Citation
Proceedings of the Seventh International Conference on Implementation and Application of Automata (CIAA-2002), Tours (France). Champarnaud, J.-M.; Maurel, D. (eds.). Lecture Notes in Computer Science, vol. 2608, pp. 128-137.
Abstract
[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.
ISSN
0302-9743
ISBN
3-540-40391-4