Distributional part-of-speech tagging
EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
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ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Morphological analysis of the spontaneous speech corpus
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Morphological analysis of a large spontaneous speech corpus in Japanese
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Guessing parts-of-speech of unknown words using global information
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Japanese unknown word identification by character-based chunking
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
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EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Morphological annotation of a large spontaneous speech corpus in Japanese
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
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AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
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COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
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Unknown words are inevitable at any step of analysis in natural language processing. We propose a method to extract words from a corpus and estimate the probability that each word belongs to given parts of speech (POSs), using a distributional analysis. Our experiments have shown that this method is effective for inferring the POS of unknown words.