COMPUTER FUNDAMENTALS

Detailed explanation-1: -In the backdrop of machine learning, autocorrect is purely based on Natural Language Processing (NLP). As the name suggests that it is programmed in order to correct spellings and errors while typing text.

Detailed explanation-2: -Email filters. Email filters are one of the most basic and initial applications of NLP online. It started out with spam filters, uncovering certain words or phrases that signal a spam message. But filtering has upgraded, just like early adaptations of NLP.

Detailed explanation-3: -The Autocorrect model is programmed to correct spellings and errors while inputting text and locating the most comparable related words. It is completely based on NLP that compares the words in the vocabulary dictionary and the typed words on the keyboard.

Detailed explanation-4: -These programs often suggest words that are completely unrelated to the ones that were typed. For example, if a user types, “I am going to thd store, ‘’ the phone’s autocorrect feature might change it to read, “I am going to the doors."

Detailed explanation-5: -Spelling Correction is a very important task in Natural Language Processing. It is used in various tasks like search engines, sentiment analysis, text summarization, etc. As the name suggests, we try to detect and correct spelling errors in spelling correction.