Linguistic knowledge can improve information retrieval
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Conceptual Indexing: A Better Way to Organize Knowledge
Conceptual Indexing: A Better Way to Organize Knowledge
Using Word Formation Rules to Extend MT Lexicons
AMTA '02 Proceedings of the 5th Conference of the Association for Machine Translation in the Americas on Machine Translation: From Research to Real Users
Linguistic knowledge can improve information retrieval
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Queue - Search Engines
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
Inferring parts of speech for lexical mappings via the Cyc KB
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Inducing criteria for lexicalization parts of speech using the Cyc KB
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Hindi derivational morphological analyzer
SIGMORPHON '12 Proceedings of the Twelfth Meeting of the Special Interest Group on Computational Morphology and Phonology
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This paper describes an approach to providing lexical information for natural language processing in unrestricted domains. A system of approximately 1200 morphological rules is used to extend a core lexicon of 39, 000 words to provide lexical coverage that exceeds that of a lexicon of 80, 000 words or 150, 000 word forms. The morphological system is described, and lexical coverage is evaluated for random words chosen from a previously unanalyzed corpus.