{"title":"BERT Inspired Progressive Stacking to Enhance Spelling Correction in Bengali Text","authors":"Debajyoty Banik, Saneyika Das, Sheshikala Martha, Achyut Shankar","doi":"10.1145/3669941","DOIUrl":null,"url":null,"abstract":"Common spelling checks in the current digital era have trouble reading languages like Bengali, which employ English letters differently. In response, we have created a better BERT-based spell checker that makes use of a CNN sub-model (Semantic Network). Our novelty, which we term progressive stacking, concentrates on improving BERT model training while expediting the corrective process. We discovered that, when comparing shallow and deep versions, deeper models could require less training time. There is potential for improving spelling corrections with this technique. We categorized and utilized as a test set a 6300-word dataset that Nayadiganta Mohiuddin supplied, some of which had spelling errors. The most popular terms were the same as those found in the Prothom-Alo artificial error dataset.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":" 11","pages":""},"PeriodicalIF":17.7000,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3669941","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Common spelling checks in the current digital era have trouble reading languages like Bengali, which employ English letters differently. In response, we have created a better BERT-based spell checker that makes use of a CNN sub-model (Semantic Network). Our novelty, which we term progressive stacking, concentrates on improving BERT model training while expediting the corrective process. We discovered that, when comparing shallow and deep versions, deeper models could require less training time. There is potential for improving spelling corrections with this technique. We categorized and utilized as a test set a 6300-word dataset that Nayadiganta Mohiuddin supplied, some of which had spelling errors. The most popular terms were the same as those found in the Prothom-Alo artificial error dataset.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.