Grammatical Error Correction (GEC) System

From GM-RKB
(Redirected from GEC system)
Jump to navigation Jump to search

A Grammatical Error Correction (GEC) System is a text error correction system that implements a GEC algorithm to solve a GEC task (to correct grammatical errors).



References

2020

2018

2017

2017b

2017c

  • https://github.com/atpaino/deep-text-corrector
    • QUOTE: Deep Text Corrector uses TensorFlow to train sequence-to-sequence models that are capable of automatically correcting small grammatical errors in conversational written English (e.g. SMS messages). It does this by taking English text samples that are known to be mostly grammatically correct and randomly introducing a handful of small grammatical errors (e.g. removing articles) to each sentence to produce input-output pairs (where the output is the original sample), which are then used to train a sequence-to-sequence model.

      While context-sensitive spell-check systems are able to automatically correct a large number of input errors in instant messaging, email, and SMS messages, they are unable to correct even simple grammatical errors. For example, the message "I'm going to store" would be unaffected by typical autocorrection systems, when the user most likely intendend to write "I'm going to the store". These kinds of simple grammatical mistakes are common in so-called "learner English", and constructing systems capable of detecting and correcting these mistakes has been the subject of multiple CoNLL shared tasks.

2014