Grammatical Error Detection (GED) System

A Grammatical Error Detection (GED) System is a syntactic sentence error detection system that implements a grammatical error detection algorithm to solve a grammatical error detection task (to detect grammatical errors).

• Context:
  • It can be supported by a Grammatical Error Correction System.
  • …
• Example(s):
  • an English Grammatical Error Detection System, such as: https://github.com/kanekomasahiro/grammatical-error-detection
  • one described in (Ngou et al., 2014).
  • …
• Counter-Example(s):
  • Misspelling Correction System.
  • Typographical Error Correction System.
  • Software Code Syntax Error Correction System.
• See: Text Sentence, Transcription Error.

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References

2020

• (Agarwal et al., 2020) ⇒ Nancy Agarwal, Mudasir Ahmad Wani, and Patrick Bours. (2020). “Lex-Pos Feature-Based Grammar Error Detection System for the English Language.” In: Electronics, 9(10).
  • QUOTE: ... This work focuses on designing a grammar detection system that understands both structural and contextual information of sentences for validating whether the English sentences are grammatically correct. Most existing systems model a grammar detector by translating the sentences into sequences of either words appearing in the sentences or syntactic tags holding the grammar knowledge of the sentences. In this paper, we show that both these sequencing approaches have limitations. …

2017

• https://github.com/kanekomasahiro/grammatical-error-detection
  • QUOTE: The format of an input corpus should be as follows (e.g. for 3 word sentence):

label of the 1st wordlabel of the 2nd wordlabel of the 3rd word3 word sentence.
(For example) 0 0 1 0 I have an pen.
Here, label 0 is for correct words, label 1 is for incorrect words.

2017

• (Kaneko et al., 2017) ⇒ Masahiro Kaneko, Yuya Sakaizawa, and Mamoru Komachi. (2017). “Grammatical Error Detection Using Error-and Grammaticality-Specific Word Embeddings.” In: Proceedings of the Eighth International Joint Conference on Natural Language Processing, (IJCNLP-2017).

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