JOURNAL ARTICLE

Context's impact on the automatic spelling correction

Mohammed NejjaAbdellah Yousfi

Year: 2017 Journal:   International Journal of Artificial Intelligence and Soft Computing Vol: 6 (1)Pages: 56-56

Abstract

This paper aims to shed light on a mechanism that will be used to exploit topical context information improving the accuracy of the automatic spell checking system. This study aims at solving the problem encountered by the auto correct spell checking system, which resides in the fact that the requested solution might be located in the last position. We have implemented a set of techniques in order to build a context oriented spelling corrector and by the end of this work the designed corrector will essentially be using a dictionary that contains a distribution of probability of a word occurrence in various contexts. This latter is constructed by bringing a collection of documents available via the internet.

Keywords:
Spelling Context (archaeology) Natural language processing Computer science Linguistics Artificial intelligence History Philosophy Archaeology

Metrics

2
Cited By
0.46
FWCI (Field Weighted Citation Impact)
32
Refs
0.69
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Web Data Mining and Analysis
Physical Sciences →  Computer Science →  Information Systems
Algorithms and Data Compression
Physical Sciences →  Computer Science →  Artificial Intelligence

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