Contextual spelling correction using latent semantic analysis

Authors:
Michael P. Jones;James H. Martin
Affiliations:
University of Colorado, Boulder, CO;University of Colorado, Boulder, CO
Venue:
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Year:
1997

Citing 8
Cited 20

Using latent semantic analysis to improve access to textual information

CHI '88 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Comparing and combining the effectiveness of latent semantic indexing and the ordinary vector space model for information retrieval

Information Processing and Management: an International Journal
Spelling correction for the telecommunications network for the deaf

Communications of the ACM
Techniques for automatically correcting words in text

ACM Computing Surveys (CSUR)
Using multiple knowledge sources for word sense discrimination

Computational Linguistics
Improving human-proceedings interaction: indexing the CHI index

CHI '95 Conference Companion on Human Factors in Computing Systems
Decision lists for lexical ambiguity resolution: application to accent restoration in Spanish and French

ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Combining Trigram-based and feature-based methods for context-sensitive spelling correction

ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics

A Winnow-Based Approach to Context-Sensitive Spelling Correction

Machine Learning - Special issue on natural language learning
Correcting real-word spelling errors by restoring lexical cohesion

Natural Language Engineering
Mitigating the paucity-of-data problem: exploring the effect of training corpus size on classifier performance for natural language processing

HLT '01 Proceedings of the first international conference on Human language technology research
Scaling to very very large corpora for natural language disambiguation

ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Constructing semantic space models from parsed corpora

ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
tRuEcasIng

ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Web-based models for natural language processing

ACM Transactions on Speech and Language Processing (TSLP)
Dependency-Based Construction of Semantic Space Models

Computational Linguistics
FipsOrtho: A spell checker for learners of French

ReCALL
A Mixed Trigrams Approach for Context Sensitive Spell Checking

CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Correction of medical handwriting OCR based on semantic similarity

IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Short and informal documents: a probabilistic model for description enrichment

NGITS'09 Proceedings of the 7th international conference on Next generation information technologies and systems
From frequency to meaning: vector space models of semantics

Journal of Artificial Intelligence Research
Exploiting syntactic and distributional information for spelling correction with web-scale n-gram models

EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Multidimensional pareto optimization of touchscreen keyboards for speed, familiarity and improved spell checking

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The Construction-Integration framework: a means to diminish bias in LSA-based call routing

International Journal of Speech Technology
Measuring contextual fitness using error contexts extracted from the Wikipedia revision history

EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
HOO 2012 shared task: UKP lab system description

Proceedings of the Seventh Workshop on Building Educational Applications Using NLP
Identifying novel information using latent semantic analysis in the WiQA task at CLEF 2006

CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
Detection of semantic errors in Arabic texts

Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

Contextual spelling errors are defined as the use of an incorrect, though valid, word in a particular sentence or context. Traditional spelling checkers flag misspelled words, but they do not typically attempt to identify words that are used incorrectly in a sentence. We explore the use of Latent Semantic Analysis for correcting these incorrectly used words and the results are compared to earlier work based on a Bayesian classifier.