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A Rule-Based Grammar and Spell Checking

  • SAMRIDDHI A Journal of Physical Sciences Engineering and Technology
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Abstract

Rule-Based Grammar and spell checking is the task of checking the content of any specific language using a particular set of rules for their grammar and a set of spellings for spell checking. In this work, libraries and functions of Python useful for Natural Language Processing are used to perform grammar and Spell checking. Python Libraries NLTK (for Sentence Boundary Detection and POS tagging), pyEnchant (for Spell checking by comparing with a standard dictionary), and Inflect (for indefinite article). The article includes information about these libraries, techniques, and steps used for Grammar and Spell Check.

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Publication details

DOI
10.18090/samriddhi.v14i01.8
OpenAlex
W4281986945
Document type
article
Language
EN
Source
SAMRIDDHI A Journal of Physical Sciences Engineering and Technology
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