Later, we presented our multi-headed model based on BERT in the workshop in Florence, Italy as a part of the Shared Task: Grammatical Error Correction within the framework of Building Educational Applications (BEA). In 2019, on a wave of deep learning deployments for solving Grammatical Error Correction (GEC) tasks, we started developing our own approach. Why AI grammar and spelling checking solutions are the next big thing What is the extending AI approach? And why in the world do I believe that these tricky things will work by the book?Ĭalm down, our dear reader and user. We’ll try to prove that AI-based text checkers are more precise and effective on the example of WProofreader browser extension. Magic words like AI-powered, machine learning, neural networks, algorithms sound bright, but don’t deliver much understanding.Ĭurious users flood Q&A platforms in the quest of holy grail – the secret technology of solutions similar to Grammarly AI. This new generation of spell and grammar checkers is smarter, more accurate, and better solves proofreading tasks… and this is everything you can read on their official websites. Now it’s a powerful portfolio of spelling and grammar solutions with AI-driven engines. They’ve switched to deep learning, which revolutionized the natural language processing domain.Ī time-back machine: in early 2000s WebSpellChecker was a web-based spell & grammar checker, and thesaurus. Some of them are still there, while others have made a leapfrog. Their engines were rules-based, deployed n-grams and language models patterns. They came as plug-ins and libraries for devs (WebSpellChecker), others were web pages for instant online text check (Grammarly). This new generation of spell and grammar checkers is smarter, more accurate, and better solves proofreading tasksĢ0 and even 10 years ago, text checkers weren’t available as in-browser extensions or as plug-ins for Microsoft Word or mobile keyboards. Then came Grammarly and ProWritingAid and finally Linguix and Sapling AI. The first were WebSpellChecker, Language Tool, Ginger. With the development of the web and browsers, a new cohort of online text checkers appeared. Then there were text checkers built into word-processing packages like WordStar and WordPerfect, Oracle’s short-lived CoAuthor and Microsoft Word’s famous native text checker. It started with SPELL for the DEC PDP-10 application program, written in assembly language.
The history of text checkers is long and adventurous. A sneak peek into the history of spell and grammar checkers So, the next time, you may want to stand up for them rather than going against them. Give this article five minutes, and we’ll give you proof that AI grammar checkers do their job great. Yes, in-browser spell check and grammar check extensions aren’t ideal, they tend to fail and do it often.īut the good thing is that they’re evolving (like everything on the Earth) and the new generation of text proofreaders are smarter and more prolific. The piece collected 200+ comments of irritated users blaming AI-based spelling and grammar checkers for “terrible and annoying autocorrect”, “giving many false positives and negatives”, “creating confusion”, “feeling stilted and robotic”… The Washington Post publishes the article “People do grammar bad.
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