Gujarati (ગુજરાતી) spell checker using Norvig algorithm with grammatical rules ofRhasva, Dīrgha and Anusvāra
DOI:
https://doi.org/10.15649/2346030X.4446Keywords:
rule-based, gujarati, machine learning (ml), grammatical rule rhasva, dīrgha, anusvāra, natural language processing (nlp), gnlp, artificial intelligence (ia)Abstract
This paper focused on Gujarati Spell Checker Using Norvig Algorithm with Grammatical Rules of Rhasva, Dīrgha, Anusvāra. Researchers make a note of Gujarati language history with a brief explanation of consonants and vowels. A total of 5, 5 and 14 rules are available respectively for Anusvāra, Rhasva, and Dīrgha. Many Indian languages use the term Anusvara to denote a nasal sound with a specific symbol. A single mātrā Small E-i (હ્રસ્વ ઇ) / U-u (હ્રસ્વ ઉ – ુુ) is called Rhasva in gujarati literature while double mātrā Long E-e (દીર્ઘ ઈ – ુી) / Long U-oo (દીર્ઘ ઊ- ુ ) known as Dīrgha respectively. This manuscript constitutes an innovative effort in the domain of Gujarati Natural Language Processing (GNLP) investigation, presenting a comprehensive repository of grammatical rules for the Gujarati language, inclusive of examples in both English and Gujarati. The proposed system will use given grammatical rules. Researcher uses two version of dataset for Gujarati Spell Checker with Norvig Algorithm in replace and insert function. One has whole barakhdi and second one focuses on Rhasva, Dīrgha, Matras, and Anusvāra in algorithm process. Output of this paper may explain that the deep learning approach is more appropriate compare to other approach.
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