Deep Text Corrector Demo
Deep Text Corrector, described in this post, is a tool built on a deep learning model that is capable of correcting small grammatical errors in conversational written English.
Currently, the errors it is capable of correcting are limited to:
- the subtraction of articles (a, an, the)
- the subtraction of the second part of a verb contraction (e.g. “‘ve”, “‘ll”, “‘s”, “‘m”)
- the replacement of a few common homophones with one of their counterparts (e.g. replacing “their” with “there”, “then” with “than”)
Here is one example of text this model can correct:
In : decode("the Cardinals did better then the Cubs") Out: 'the Cardinals did better than the Cubs'