A Generalized Approach to Word Segmentation Using Maximum Length Descending Frequency and Entropy Rate-Reference-Cited by-同舟云学术

A Generalized Approach to Word Segmentation Using Maximum Length Descending Frequency and Entropy Rate

Published:2007 Issue: Volume: Page:175-185
ISSN:0302-9743
Container-title:Computational Linguistics and Intelligent Text Processing
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Author:

Islam Md. Aminul,Inkpen Diana,Kiringa Iluju

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-70939-8_16

Reference24 articles.

1. Brent, M.: An efficient, probabilistically sound algorithm for segmentation and word discovery. Machine Learning 34, 71–106 (1999)

2. Brent, M., Cartwright, T.: Distributional regularity and phonotactics are useful for segmentation. Cognition 61, 93–125 (1996)

3. Brill, E.: Some advances in transformation-based part of speech tagging. In: Proc. of the Twelfth National Conference on Artificial Intelligence, pp. 748–753. MIT Press, Cambridge (1994)

4. Christiansen, M., Allen, J.: Coping with Variation in Speech Segmentation. In: Proceedings of GALA 1997: Language Acquisition: Knowledge Representation and Processing, pp. 327–332 (1997)

5. Christiansen, M., Allen, J., Seidenberg, M.: Learning to Segment Speech Using Multiple Cues: A Connectionist Model. Language and Cognitive Processes 13, 221–268 (1998)

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