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Ailani, Sagar, Ashwini Dalvi, And Irfan Siddavatam. 2019. "Grammatical Error Correction (GEC): Research Approaches Till Now." In.pdf

ailani-2019-ijca-919275.pdf
Preview of Ailani, Sagar, Ashwini Dalvi, and Irfan Siddavatam. 2019. "Grammatical Error Correction (GEC): Research Approaches till now." In
🔗 Source: ijcaonline.org
📊 Size: 390 KB
👤 Author: Sagar Ailani
⬇️ Downloads: 67

Summary

The International Journal of Computer Applications discusses Grammatical Error Correction (GEC) research approaches. GEC is a task in Natural Language Processing that involves detecting and correcting grammar errors in text, particularly for English as a Second Language (ESL) learners. Three main approaches have been used: Rule-based, Classification-based, and Machine Translation, with the latter further divided into Statistical Machine Translation and Neural Machine Translation. The paper reviews these approaches, their limitations, and evaluation metrics such as BLEU, GLEU, and M2 Scorer. A case study examines each approach, including their components, limitations, and applications.

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The International Journal of Computer Applications discusses Grammatical Error Correction (GEC) research approaches.

Technical Information

  • File Format: PDF
  • File Size: 390 KB
  • Pages: 3
  • Language: EN
  • Author: Sagar Ailani
  • Total Downloads: 67
  • Last Updated: 2 weeks ago

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