On learning the past tenses of English verbs
Parallel distributed processing: explorations in the microstructure of cognition, vol. 2
Learning the past tense of English verbs using inductive logic programming
Connectionist, Statistical, and Symbolic Approaches to Learning for Natural Language Processing
Cautious Induction in Inductive Logic Programming
ILP '97 Proceedings of the 7th International Workshop on Inductive Logic Programming
Constraint-Based Rule Mining in Large, Dense Databases
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Unsupervised learning of the morphology of a natural language
Computational Linguistics
Automatic rule induction for unknown-word guessing
Computational Linguistics
Knowledge-free induction of inflectional morphologies
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
MPL '02 Proceedings of the ACL-02 workshop on Morphological and phonological learning - Volume 6
Onoma: a linguistically motivated conjugation system for spanish verbs
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
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We describe here a supervised learning model that, given paradigms of related words, learns the morphological and phonological rules needed to derive the paradigm. The model can use its rules to make guesses about how novel forms would be inflected, and has been tested experimentally against the intuitions of human speakers.