The String-to-String Correction Problem
Journal of the ACM (JACM)
Unsupervised learning of the morphology of a natural language
Computational Linguistics
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Induction of a simple morphology for highly-inflecting languages
SIGMorPhon '04 Proceedings of the 7th Meeting of the ACL Special Interest Group in Computational Phonology: Current Themes in Computational Phonology and Morphology
An algorithm for the unsupervised learning of morphology
Natural Language Engineering
Unsupervised models for morpheme segmentation and morphology learning
ACM Transactions on Speech and Language Processing (TSLP)
A naive theory of affixation and an algorithm for extraction
SIGPHON '06 Proceedings of the Eighth Meeting of the ACL Special Interest Group on Computational Phonology and Morphology
Unsupervised word segmentation for Sesotho using Adaptor Grammars
SigMorPhon '08 Proceedings of the Tenth Meeting of ACL Special Interest Group on Computational Morphology and Phonology
Research on Language and Computation
Hi-index | 0.00 |
This paper describes a heuristic for morpheme- and morphology-learning based on string edit distance. Experiments with a 7,000 word corpus of Swahili, a language with a rich morphology, support the effectiveness of this approach.