University of Hertfordshire

An Adaptive Spell Checker Based on PS3M: Improving the Clusters of Replacement Words

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

An Adaptive Spell Checker Based on PS3M: Improving the Clusters of Replacement Words. / Cordeiro De Amorim, Renato.

The Sixth International Conference on Computer Recognition Systems, Advances in Intelligent and Soft Computing: Computer Recognition Systems 3. ed. / Marek Kurzynski; Michal Wozniak. Vol. 57 Springer, 2009. p. 519-526.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Cordeiro De Amorim, R 2009, An Adaptive Spell Checker Based on PS3M: Improving the Clusters of Replacement Words. in M Kurzynski & M Wozniak (eds), The Sixth International Conference on Computer Recognition Systems, Advances in Intelligent and Soft Computing: Computer Recognition Systems 3. vol. 57, Springer, pp. 519-526, 6th International Conference on Computer Recognition Systems, Jelenia Gora, Poland, 25/05/09. https://doi.org/10.1007/978-3-540-93905-4_61

APA

Cordeiro De Amorim, R. (2009). An Adaptive Spell Checker Based on PS3M: Improving the Clusters of Replacement Words. In M. Kurzynski, & M. Wozniak (Eds.), The Sixth International Conference on Computer Recognition Systems, Advances in Intelligent and Soft Computing: Computer Recognition Systems 3 (Vol. 57, pp. 519-526). Springer. https://doi.org/10.1007/978-3-540-93905-4_61

Vancouver

Cordeiro De Amorim R. An Adaptive Spell Checker Based on PS3M: Improving the Clusters of Replacement Words. In Kurzynski M, Wozniak M, editors, The Sixth International Conference on Computer Recognition Systems, Advances in Intelligent and Soft Computing: Computer Recognition Systems 3. Vol. 57. Springer. 2009. p. 519-526 https://doi.org/10.1007/978-3-540-93905-4_61

Author

Cordeiro De Amorim, Renato. / An Adaptive Spell Checker Based on PS3M: Improving the Clusters of Replacement Words. The Sixth International Conference on Computer Recognition Systems, Advances in Intelligent and Soft Computing: Computer Recognition Systems 3. editor / Marek Kurzynski ; Michal Wozniak. Vol. 57 Springer, 2009. pp. 519-526

Bibtex

@inproceedings{8ba73da26bcd41fda6ec434d9ce693f0,
title = "An Adaptive Spell Checker Based on PS3M: Improving the Clusters of Replacement Words",
abstract = "In this paper the author presents a new similarity measure for strings of characters based on S3M which he expands to take into account not only the characters set and sequence but also their position. After demonstrating the superiority of this new measure and discussing the need for a self adaptive spell checker, this work is further developed into an adaptive spell checker that produces a cluster with a defined number of words for each presented misspelled word. The accuracy of this solution is measured comparing its results against the results of the most widely used spell checker.",
author = "{Cordeiro De Amorim}, Renato",
year = "2009",
doi = "10.1007/978-3-540-93905-4_61",
language = "English",
isbn = "978-3-540-93904-7",
volume = "57",
pages = "519--526",
editor = "Marek Kurzynski and Michal Wozniak",
booktitle = "The Sixth International Conference on Computer Recognition Systems, Advances in Intelligent and Soft Computing",
publisher = "Springer",
note = "6th International Conference on Computer Recognition Systems : Advances in Intelligent and Soft Computing , CORES 2009 ; Conference date: 25-05-2009 Through 28-05-2009",

}

RIS

TY - GEN

T1 - An Adaptive Spell Checker Based on PS3M: Improving the Clusters of Replacement Words

AU - Cordeiro De Amorim, Renato

PY - 2009

Y1 - 2009

N2 - In this paper the author presents a new similarity measure for strings of characters based on S3M which he expands to take into account not only the characters set and sequence but also their position. After demonstrating the superiority of this new measure and discussing the need for a self adaptive spell checker, this work is further developed into an adaptive spell checker that produces a cluster with a defined number of words for each presented misspelled word. The accuracy of this solution is measured comparing its results against the results of the most widely used spell checker.

AB - In this paper the author presents a new similarity measure for strings of characters based on S3M which he expands to take into account not only the characters set and sequence but also their position. After demonstrating the superiority of this new measure and discussing the need for a self adaptive spell checker, this work is further developed into an adaptive spell checker that produces a cluster with a defined number of words for each presented misspelled word. The accuracy of this solution is measured comparing its results against the results of the most widely used spell checker.

U2 - 10.1007/978-3-540-93905-4_61

DO - 10.1007/978-3-540-93905-4_61

M3 - Conference contribution

SN - 978-3-540-93904-7

VL - 57

SP - 519

EP - 526

BT - The Sixth International Conference on Computer Recognition Systems, Advances in Intelligent and Soft Computing

A2 - Kurzynski, Marek

A2 - Wozniak, Michal

PB - Springer

T2 - 6th International Conference on Computer Recognition Systems

Y2 - 25 May 2009 through 28 May 2009

ER -