A note on undetected typing errors
Communications of the ACM
An examination of undetected typing errors
Information Processing and Management: an International Journal
Techniques for automatically correcting words in text
ACM Computing Surveys (CSUR)
A word shape analysis approach to lexicon based word recognition
Pattern Recognition Letters
Statistical methods for speech recognition
Statistical methods for speech recognition
Programming pearls: a spelling checker
Communications of the ACM
Computer programs for detecting and correcting spelling errors
Communications of the ACM
A technique for computer detection and correction of spelling errors
Communications of the ACM
Lexical postprocessing by heuristic search and automatic determination of the edit costs
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
Lexical Postcorrection of OCR-Results: The Web as a Dynamic Secondary Dictionary?
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Information access in the presence of OCR errors
Proceedings of the 1st ACM workshop on Hardcopy document processing
Fast Approximate Search in Large Dictionaries
Computational Linguistics
Stochastic language generation for spoken dialogue systems
ANLP/NAACL-ConvSyst '00 Proceedings of the 2000 ANLP/NAACL Workshop on Conversational systems - Volume 3
Orthographic Errors in Web Pages: Toward Cleaner Web Corpora
Computational Linguistics
On lexical resources for digitization of historical documents
Proceedings of the 9th ACM symposium on Document engineering
Recognizing garbage in OCR output on historical documents
Proceedings of the 2011 Joint Workshop on Multilingual OCR and Analytics for Noisy Unstructured Text Data
Computation of similarity: similarity search as computation
CiE'11 Proceedings of the 7th conference on Models of computation in context: computability in Europe
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For the success of lexical text correction, high coverage of the underlying background dictionary is crucial. Still, most correction tools are built on top of static dictionaries that represent fixed collections of expressions of a given language. When treating texts from specific domains and areas, often a significant part of the vocabulary is missed. In this situation, both automated and interactive correction systems produce suboptimal results. In this article, we describe strategies for crawling Web pages that fit the thematic domain of the given input text. Special filtering techniques are introduced to avoid pages with many orthographic errors. Collecting the vocabulary of filtered pages that meet the vocabulary of the input text, dynamic dictionaries of modest size are obtained that reach excellent coverage values. A tool has been developed that automatically crawls dictionaries in the indicated way. Our correction experiments with crawled dictionaries, which address English and German document collections from a variety of thematic fields, show that with these dictionaries even the error rate of highly accurate texts can be reduced, using completely automated correction methods. For interactive text correction, more sensible candidate sets for correcting erroneous words are obtained and the manual effort is reduced in a significant way. To complete this picture, we study the effect when using word trigram models for correction. Again, trigram models from crawled corpora outperform those obtained from static corpora.