Automatic Rule Acquisition for Spelling Correction (1997)

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by Lidia Mangu , Eric Brill
Venue:In Proceedings of the 14th International Conference on Machine Learning
Citations:64 - 5 self

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Augmented Mixture Models for Lexical Disambiguation – Silviu Cucerzan And - 2002
10 Augmented Mixture Models for Lexical Disambiguation – Silviu Cucerzan , David Yarowsky - 2002
Correcting Different Types of Errors in Texts – Aminul Islam, Diana Inkpen
OCR Post-Processing Error Correction Algorithm Using Google's Online Spelling Suggestion – Youssef Bassil, Mohammad Alwani
14 Email Data Cleaning – Jie Tang, Hang Li, Yunbo Cao, Zhaohui Tang - 2005
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29 A Statistical Approach to Automatic OCR Error Correction In Context – Xian Tong, David A. Evans - 1996
12 Robust error detection: A hybrid approach combining unsupervised error detection and linguistic knowledge – Johnny Bigert, Ola Knutsson - 2002
5 Learning to Find Context-Based Spelling Errors – H. Al-Mubaid, K. Truemper - 2001
3 I saw TREE trees in the park: How to correct real-word spelling mistakes – Davide Fossati, Barbara Di Eugenio
169 Learning to resolve natural language ambiguities: A unified approach – Dan Roth - 1998
22 tRuEcasIng – Lucian Vlad Lita, Abe Ittycheriah, Salim Roukos, Nanda Kambhatla, Ibm T. J. Watson - 2003
Japanese OCR Error Correction using Character Shape – Similarity And Statistical, Masaaki Nagata - 1998
Methods and tricks used in an attempt to pass the Turing Test – V. Bastin, D. Cordier - 1998
Methods and tricks used in an attempt to pass the Turing Test – Bastin Cordier Department, V. Bastin D. Cordier
3 Detection of Japanese Homophone Errors by a Decision List Including a Written Word as a Default Evidence – Hiroyuki Shinnou - 1999
1 Machine Learning Approach for Context-Sensitive Error Detection – Hisham Al-mubaid, Shashanka Nagula - 2005
Statistics-based methods for error detection . . . – Yoni Lev - 2011
4 Introduction to Corpus-based Statistics-oriented (CBSO) Techniques – Keh-yih Su, Tung-hui Chiang, Jing-shin Chang - 1994