Extending Zipf’s law to n-grams for large corpora-Reference-Cited by-同舟云学术

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Extending Zipf’s law to n-grams for large corpora

Published:2009-10-28 Issue:1-4 Volume:32 Page:101-113
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Ha Le Quan,Hanna Philip,Ming Ji,Smith F. J.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

http://link.springer.com/content/pdf/10.1007/s10462-009-9135-4.pdf

Reference43 articles.

1. Baayen H (1991) A stochastic process for word frequency distributions. In: Proceedings of the 29th annual meeting of the Association for Computational Linguistics (ACL-29). Berkeley, California, USA, pp 271–278

2. Baayen H (2001) Word frequency distributions. Kluwer Academic Publishers, Norlands, MA, USA

3. Blake C (2006) A comparison of document, sentence, and term event spaces. In: Proceedings of the 21st international conference on computational linguistics and 44th annual meeting of the Association for Computational Linguistics (COLING.ACL), vol 1. Sydney, pp 601–608

4. Booth AD (1967) A law of occurrences for words of low frequency. Inf Control 10(4): 386–393

5. Chau M, Lu Y, Fang X, Yang CC (2009) Characteristics of character usage in Chinese Web searching. Inf Proc Manag: Int J 45(1): 115–130

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