Grammar-check came along just a few years after spell-check, although with far less popularity or success at catching actual errors-although the technology has vastly improved. Although Earnest called his creation a spelling checker or spelling corrector, he later said that spell-check sounded “like something that Harry Potter and his colleagues should be using.” S pell-check went mainstream as personal computers spread in 1983, when it was included in WordPerfect and, shortly thereafter, Microsoft Word, the same year spell-check as both a noun and verb took off. At Stanford University in the 1970s, Earnest directed a grad student, Ralph Gorin, to build a more robust version, called SPELL, that suggested possible correct spellings. Being a poor speller himself, he got the idea to make a program that could detect misspelled words. In the early 1960s, well before the age of home computing, Lester Earnest was a grad student at MIT working on a program that could read handwriting. Then we invented computers and started to use word-processing programs instead of typewriters. If you don't need suggestions from your results you don't need to add the spelling extractor, TextRazor is already correcting obviously misspelled entities for all your requests.Back in the day, when phones had cords and tweeting was something that only birds did, people who were unsure of a word’s spelling had to go find a physical dictionary and look it up. There is no additional charge for enabling this analysis on your documents. Simply add the spelling extractor to your request, and look for the 'spellingSuggestions' field with each word in the response. The TextRazor spelling correction system is fully integrated with the TextRazor analysis pipeline. On the results page under 'sentences' you can see the suggestions column populated next to each word. You can try out the Spelling Correction system with your own documents through our Online Demo. We plan to extend support to other languages with demand, if you are interested in spelling correction for another language please let us know. Spelling Correction is currently only available in English. TextRazor's language models are updated frequently, so we're constantly learning new words as language evolves. Trained using billions of words, TextRazor knows about slang, people's name variations, and brand names. TextRazor uses state-of-the-art Recurrent Neural Network language modelling to help understand whole sentences, so it is able to correct words in context and generate suggestion scores based on the grammatical 'correctness' of each word in the sentence.
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