Class-based n-gram models of natural language
Computational Linguistics
Corpus-based stemming using cooccurrence of word variants
ACM Transactions on Information Systems (TOIS)
Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Automatic rule induction for unknown-word guessing
Computational Linguistics
Distributional part-of-speech tagging
EACL '95 Proceedings of the seventh conference on European chapter of the Association for 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
Minimally supervised morphological analysis by multimodal alignment
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
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
MPL '02 Proceedings of the ACL-02 workshop on Morphological and phonological learning - Volume 6
Efficient unsupervised recursive word segmentation using minimum description length
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
An unsupervised Hindi stemmer with heuristic improvements
Proceedings of the second workshop on Analytics for noisy unstructured text data
Unsupervised learning of the morpho-semantic relationship in MEDLINE®
BioNLP '07 Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing
Learning probabilistic paradigms for morphology in a latent class model
SIGPHON '06 Proceedings of the Eighth Meeting of the ACL Special Interest Group on Computational Phonology and Morphology
Improving morphology induction by learning spelling rules
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Unsupervised morphological segmentation and clustering with document boundaries
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Research on Language and Computation
SLSP'13 Proceedings of the First international conference on Statistical Language and Speech Processing
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We address the problem of learning a morphological automaton directly from a monolingual text corpus without recourse to additional resources. Like previous work in this area, our approach exploits orthographic regularities in a search for possible morphological segmentation points. Instead of affixes, however, we search for affix transformation rules that express correspondences between term clusters induced from the data. This focuses the system on substrings having syntactic function, and yields cluster-to-cluster transformation rules which enable the system to process unknown morphological forms of known words accurately. A stem-weighting algorithm based on Hubs and Authorities is used to clarify ambiguous segmentation points. We evaluate our approach using the CELEX database.