Memory-based context-sensitive spelling correction at web scale

Proceedings - 6th International Conference on Machine Learning and Applications, ICMLA 2007

Volumn , Issue , 2007, Pages 166-171

  Carlson, Andrew ^a   Fette, Ian ^a  

^a Carnegie Mellon University ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTEXT-SENSITIVE; HIGH ACCURACY; INTERNATIONAL CONFERENCES; LARGE DATABASES; MACHINE-LEARNING; MEMORY-BASED LEARNING; REAL WORD ERRORS; SPELLING CORRECTION; TRAINING DATA;

ARTIFICIAL INTELLIGENCE; DATABASE SYSTEMS; EDUCATION; ERRORS; LEARNING ALGORITHMS; ROBOT LEARNING; STANDARDS;

LEARNING SYSTEMS;

EID: 47349091416     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2007.73     Document Type: Conference Paper

References (8)

1. K. Atkinson. GNU Aspell, 1998. Software available at http://aspell.net/.
2. M. Banko and E. Brill. Scaling to very very large corpora for natural language disambiguation. In Meeting of the Association for Computational Linguistics, pages 26-33, 2001.
3. T. Brants and A. Franz. Web IT 5-gram version 1, 2006.
4. A. J. Carlson, J. Rosen, and D. Roth. Scaling up context-sensitive text correction. In Proceedings of the Thirteenth Conference on Innovative Applications of Artificial Intelligence Conference, pages 45-50. AAAI Press, 2001.
5. K. W. Church and W. A. Gale. Probability scoring for spelling correction. Statistics and Computing, 1991.
6. A. R. Golding and D. Roth. Applying winnow to context-sensitive spelling correction. In International Conference on Machine Learning, pages 182-190, 1996.
7. M. Lapata and F. Keller. Web-based models for natural language processing. ACM Trans. Speech Lang. Process., 2(1):3, 2005.
8. V. Liu and J. R. Curran. Web text corpus for natural language processing. In EACL. The Association for Computer Linguistics, 2006.