Unsupervised learning of the morphology of a natural language
Computational Linguistics
Combining distributional and morphological information for part of speech induction
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Unsupervised segmentation of words using prior distributions of morph length and frequency
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Knowledge-free induction of morphology using latent semantic analysis
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Inducing syntactic categories by context distribution clustering
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Unsupervised learning of morphology using a novel directed search algorithm: taking the first step
MPL '02 Proceedings of the ACL-02 workshop on Morphological and phonological learning - Volume 6
Unsupervised discovery of morphemes
MPL '02 Proceedings of the ACL-02 workshop on Morphological and phonological learning - Volume 6
Unsupervised and Knowledge-Free Morpheme Segmentation and Analysis
Advances in Multilingual and Multimodal Information Retrieval
Using morphology and syntax together in unsupervised learning
PMHLA '05 Proceedings of the Workshop on Psychocomputational Models of Human Language Acquisition
Overview of Morpho challenge 2008
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Paramor: from paradigm structure to natural language morphology induction
Paramor: from paradigm structure to natural language morphology induction
Probabilistic hierarchical clustering of morphological paradigms
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
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We propose a new clustering algorithm for the induction of the morphological paradigms. Our method is unsupervised and exploits the syntactic categories of the words acquired by an unsupervised syntactic category induction algorithm [1]. Previous research [2,3] on joint learning of morphology and syntax has shown that both types of knowledge affect each other making it possible to use one type of knowledge to help learn the other one.