Fundamentals of speech recognition
Fundamentals of speech recognition
A maximum entropy approach to natural language processing
Computational Linguistics
A stochastic finite-state word-segmentation algorithm for Chinese
Computational Linguistics
TnT: a statistical part-of-speech tagger
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Extended models and tools for high-performance part-of-speech tagger
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
The first international Chinese word segmentation Bakeoff
SIGHAN '03 Proceedings of the second SIGHAN workshop on Chinese language processing - Volume 17
Combining segmenter and chunker for Chinese word segmentation
SIGHAN '03 Proceedings of the second SIGHAN workshop on Chinese language processing - Volume 17
Subword-based tagging for confidence-dependent Chinese word segmentation
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Part-of-speech tagging of modern hebrew text
Natural Language Engineering
A hybrid approach to word segmentation and POS tagging
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Smoothing a lexicon-based POS tagger for Arabic and Hebrew
Semitic '07 Proceedings of the 2007 Workshop on Computational Approaches to Semitic Languages: Common Issues and Resources
A novel word segmentation approach for written languages with word boundary markers
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
An error-driven word-character hybrid model for joint Chinese word segmentation and POS tagging
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Pointwise prediction for robust, adaptable Japanese morphological analysis
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
A lexicon-constrained character model for chinese morphological analysis
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
A language independent n-gram model for word segmentation
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Automatic Korean word spacing using Pegasos algorithm
Information Processing and Management: an International Journal
Chinese morphological analysis using morpheme and character features
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
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In this paper, we present a hybrid method for Chinese and Japanese word segmentation. Word-level information is useful for analysis of known words, while character-level information is useful for analysis of unknown words, and the method utilizes both these two types of information in order to effectively handle known and unknown words. Experimental results show that this method achieves high overall accuracy in Chinese and Japanese word segmentation