From spelling correction to text cleaning - Using context information

Studies in Classification, Data Analysis, and Knowledge Organization

Volumn , Issue , 2008, Pages 397-404

  Schierle, Martin ^a   Schulz, Sascha ^b   Ackermann, Markus ^c  

^a DAIMLER AG   (Germany)

^b HUMBOLDT UNIVERSITY   (Germany)

^c UNIVERSITY OF LEIPZIG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION ANALYSIS; MACHINE LEARNING; OPEN SYSTEMS;

CO-OCCURRENCE STATISTICS; CONTEXT INFORMATION; CONTEXT SENSITIVE; DOMAIN SPECIFIC; EDIT DISTANCE; ISOLATED WORDS; SPELLING CORRECTION; USER INTERVENTION;

DATA HANDLING;

EID: 77957070751     PISSN: 14318814     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-78246-9_47     Document Type: Conference Paper

References (8)

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2. ELMI, M. A. and EVENS, M. (1998): Spelling correction using context. In: Proceedings of the 17th international Conference on Computational Linguistics - Volume 1 (Montreal, Quebec, Canada). Morristown, NJ, 360-364.
3. GOLDING, A. R (1995): A Bayesian hybrid method for context-sensitive spelling correction. In: Proceedings of the Third Workshop on Very Large Corpora, Boston, MA.
4. GOLDING, A. R., and ROTH, D. (1999): A Winnow based approach to context-sensitive spelling correction. Machine Learning 34(1-3):107-130. Special Issue on Machine Learning and Natural Language.
5. HEYER, G., QUASTHOFF, U. and WITTIG, T. (2006): Text Mining: Wissensrohstoff Text - Konzepte, Algorithmen, Ergebnisse. W3L Verlag, Herdecke, Bochum.
6. KUKICH, K. (1992). Techniques for Automatically Correcting Words in Text. ACM Comput. Surv. 4:377-439.
7. MANNING, C. and SCHÜTZE, H. (1999): Foundations of Statistical Natural Language Processing. The M.I.T. Press, Cambridge (Mass.) and London. 151-187.
8. PHILIPS, L. SABSCH, R. (2006): Kontextsensitive und domä nenspezifische Rechtschreibkorrektur durch Einsatz von Wortassoziationen. Diplomarbeit, Universität Leipzig.