A simple rule-based part of speech tagger
ANLC '92 Proceedings of the third conference on Applied natural language processing
Tagging French: comparing a statistical and a constraint-based method
EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
A syntax-based part-of-speech analyser
EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
Comparing a linguistic and a stochastic tagger
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
A stochastic Japanese morphological analyzer using a forward-DP backward-A* N-best search algorithm
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
Mostly-unsupervised statistical segmentation of Japanese Kanji sequences
Natural Language Engineering
Mostly-unsupervised statistical segmentation of Japanese: applications to kanji
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Robust segmentation of Japanese text into a lattice for parsing
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Using a broad-coverage parser for word-breaking in Japanese
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Multi-language named-entity recognition system based on HMM
MultiNER '03 Proceedings of the ACL 2003 workshop on Multilingual and mixed-language named entity recognition - Volume 15
Clustering presentation of web image retrieval results using textual information and image features
IMSA'06 Proceedings of the 24th IASTED international conference on Internet and multimedia systems and applications
ACM Transactions on Asian Language Information Processing (TALIP)
Ranking Entities Using Comparative Relations
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Hierarchical auto-tagging: organizing Q&A knowledge for everyone
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Self-supervised mining of human activity from CGM
PKAW'10 Proceedings of the 11th international conference on Knowledge management and acquisition for smart systems and services
Human activity mining using conditional radom fields and self-supervised learning
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part I
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Capturing users' buying activity at Akihabara electric town from twitter
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part II
Entity set expansion using topic information
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Self-supervised capturing of users' activities from weblogs
International Journal of Intelligent Information and Database Systems
Automatically generated spam detection based on sentence-level topic information
Proceedings of the 22nd international conference on World Wide Web companion
Automatic task-based profile representation for content-based recommendation
International Journal of Knowledge-based and Intelligent Engineering Systems
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We developed a Japanese morphological analyzer that uses the co-occurrence of words to select the correct sequence of words in an unsegmented Japanese sentence. The co-occurrence information can be obtained from cases where the system incorrectly analyzes sentences. As the amount of information increases, the accuracy of the system increases with a small risk of degradation. Experimental results show that the proposed system assigns the correct phonological representations to unsegmented Japanese sentences more precisely than do other popular systems.