For that the phonetically similar characters are mapped into single units of character code. The first stage takes care of phonetic similarity error. In this approach the technique works in two stages. The approach for the Bangla spell-checker is then elaborated. A brief review of problems and the current scenario of Indian language spell-checkers is described. This paper deals with the development of a spell-checker in Indian languages using as an example Bangla, the second most popular language on the Indian Subcontinent. It also highlights the major challenges faced by researchers along with the future area of research in the field of spell-checking. can be used in development of spell-checkers. This article suggests how the techniques from the other domains like morphology, part-of-speech, chunking, stemming, hash-table etc. In this study, various articles are analyzed on certain criteria to reach the conclusion. Each sub-area is then described based on the technique being used. The literature about spell-checking is divided into key sub-areas according to the languages. These steps include framing of the research questions, selection of research articles, inclusion/exclusion criteria and the extraction of the relevant information from the selected research articles. The steps of the systematic review are employed on 130 selected articles published in leading journals, premier conferences and workshops in the field of spell-checking of different inflectional languages. This study follows the guidelines of systematic literature review and applies it to the field of spell-checking. In literature, spell-checkers for different languages are available and each one possesses similar characteristics however, have a different design. In the area of spell-checking, we still lack an exhaustive study that covers aspects like strengths, limitations, handled errors, performance along with the evaluation parameters. It cautions the user if there is any unintentional misspelling occurred in the text. Spell-checkers are the language tools which break down the text to check the spelling errors. Performance of any word processor, search engine, social media relies heavily on the spell-checkers, grammar checkers etc. ![]() The basic framework has been designed and implemented in Java programming language and can be integrated any java based applications. All the misspell words are marked and allowed for correction. detection and actual correction of the spelling errors. The spell-checking task can be split into two parts, i.e. ![]() We present a new spell-checking system for detecting the misspelled words and to find out the most appropriate suggestive words using the minimum edit-distance algorithm. Implementing a spellchecker for highly inflected Indian language like Odia is a most challenging research task that we have carried out in this research project. The most important factor affecting the spelling errors is the presence of large number of phonetics similar characters and modifiers, used to modify consonants and conjuncts. Odia language is rich in inflective, derivative and compound words. The aim of this paper is to provide an unified approach for designing and implementing the Odia spell checker and the same approach can be extend to any Indian language spell-checker & corrector.
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