Spell Checker Using Neural Network
Correct spellings of uncommon words like proper nouns using state of the art neural networks.
Spell checker using neural network. The tool uses a deep neural net with 680 million parameters to better understand the context of misspelled words. It helps to create better documents and make communication clear. Acronyms for example can be flagged as possible errors if they are corrected enough times e g.
Attention based convolutional neural network for modeling sentence pairs ii. These corrections are used to train a feed forward neural network so that if the same error is remade the network can flag the offending word as a possible error. This article talks about the abstract idea of the network its implementation and results.
Autocorrect spell check for short words. Misspelled words need not even be words. Google search is getting a new ai powered spell checker.
I use spell checking every day it is built into word processors browsers smartphone keyboards. More sophisticated spell checker.