We propose an alternative approach to checking the spelling of Bangla text that uses a finite state automaton (FSA) to probabilistically create the suggestion list for a misspelled word. Spelling checker algorithms using edit- distance methods tend to produce a large number of possibilities for misspelled words. Precisely, the test results demonstrated the awareness of advantage and disadvantages of the measurement which were adapted and applied to a search for meaning by using Jaccard similarity coefficient.Ī crucial figure of merit for a spelling checker is not just whether it can detect misspelled words, but also in how it ranks the suggestions for the word. Furthermore, the performance of this proposed similarity measurement method was accomplished by employing precision, recall, and F-measure. Technically, we developed a measure of similarity Jaccard with Prolog programming language to compare similarity between sets of data. Thus, this paper proposed the similarity measurement method between words by deploying Jaccard Coefficient. Consequently, a similarity measurement between keywords and index terms is essentially performed to facilitate searchers in accessing the required results promptly. Particularly, information retrieval results as documents are typically too extensive, which affect on accessibility of the required results for searchers. Additionally, an index of search engines has to be updated on most recent information as it is constantly changed over time. This allows users to specify the search criteria as well as specific keywords to obtain the required results.
Presently, information retrieval can be accomplished simply and rapidly with the use of search engines. The datasets and codes used in this work are freely available at combination of bigram and trigram, and generates suggestions based on the Cosine similarity measure with the accuracy rate of 94.29% individually. The grammar checker detects errors based on language model probability i.e. The spell checker uses the Double Metaphone algorithm and Edit distance based on the distributed lexicons and numerical suffix dataset to detect all types of Bangla spelling mistakes with an accuracy rate of 97.21% individually. Based on these corpus and lexicon, we have developed a combined spell and grammar checker application that simultaneously detects distinct spelling and grammatical mistakes and provides appropriate suggestions for both as well. At first, a full-fledged and generalised Bangla monolingual corpus comprising over 100 million words has been built by scraping reputed, diversified online sources and then an extensive Bangla lexicon consisting of over 1 million unique words has been extracted from that corpus. Considering the lack of research efforts, we demonstrate the development of a comprehensive Bangla spell and grammar checker with necessary resources. Watch this video of google wave ( 44m 06s ) that shows how google automatically corrects the spelling.A spell and grammar checker is profoundly essential for diverse publications especially for Bangla language in particular as it is spoken by millions of native speakers around the world. More you can check here by Spelling corrector implemented and described by Google's Director of Research Peter Norvig. In this way, Google’s ‘ showing results for’ or ‘ Did you mean’ algorithm works. If edit distance is 0-2, then most recent 2 words will be evaluated. Edit distance means how many recent most popular words, related to search, needs to be evaluated. Word searching works by defining the edit distance. This algorithm needs data preparation from large chunks of data because it evaluates the most used words. Spelling correction is an application of NLP. Google uses masses of data for Natural Language Processing (NLP). Google uses an interesting ‘spell-checking’ algorithm with a quite high accuracy. It helps us to redirect to correct links directly. Google uses a highly accurate algorithm for that. Instead of asking to rewrite the word again, google recorrects the word for us.
When we search a query, Sometimes we misspell a word on google. Google can almost instantaneously, offer spell correction in every language.
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