A Cache-Based Natural Language Model for Speech Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Context based spelling correction
Information Processing and Management: an International Journal
Techniques for automatically correcting words in text
ACM Computing Surveys (CSUR)
A Winnow-Based Approach to Context-Sensitive Spelling Correction
Machine Learning - Special issue on natural language learning
The double metaphone search algorithm
C/C++ Users Journal
A technique for computer detection and correction of spelling errors
Communications of the ACM
A spelling correction program based on a noisy channel model
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 2
An improved error model for noisy channel spelling correction
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Memory-Based Context-Sensitive Spelling Correction at Web Scale
ICMLA '07 Proceedings of the Sixth International Conference on Machine Learning and Applications
Ordering the suggestions of a spellchecker without using context*
Natural Language Engineering
A classifier-based approach to preposition and determiner error correction in L2 English
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Pronunciation modeling in spelling correction for writers of English as a foreign language
SRWS '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Student Research Workshop and Doctoral Consortium
Web-scale N-gram models for lexical disambiguation
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Using the web for language independent spellchecking and autocorrection
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Automated Grammatical Error Detection for Language Learners
Automated Grammatical Error Detection for Language Learners
The effects of learner errors on the development of a collocation detection tool
AND '10 Proceedings of the fourth workshop on Analytics for noisy unstructured text data
Creating a manually error-tagged and shallow-parsed learner corpus
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
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In this paper we present a new spell-checking system that utilizes contextual information for automatic correction of non-word misspellings. The system is evaluated with a large corpus of essays written by native and non-native speakers of English to the writing prompts of high-stakes standardized tests (TOEFL® and GRE®). We also present comparative evaluations with Aspell and the speller from Microsoft Office 2007. Using context-informed re-ranking of candidate suggestions, our system exhibits superior error-correction results overall and also corrects errors generated by non-native English writers with almost same rate of success as it does for writers who are native English speakers.