Tiered Tagging and Combined Language Models Classifiers
TSD '99 Proceedings of the Second International Workshop on Text, Speech and Dialogue
TnT: a statistical part-of-speech tagger
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Tagging French: comparing a statistical and a constraint-based method
EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
Combining stochastic and rule-based methods for disambiguation in agglutinative languages
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Tagging inflective languages: prediction of morphological categories for a rich, structured tagset
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Statistical morphological disambiguation for agglutinative languages
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Bootstrapping a multilingual part-of-speech tagger in one person-day
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
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We introduce the MFF algorithm for the task of verbal inflection analysis. This algorithm follows an heuristics that decide for the most frequent inflection feature bundle given the set of admissible feature bundles for a verb input form. This algorithm achieves a significantly better level of accuracy than the ones offered by current stochastic tagging technology commonly used for the same task.