How Far are We from Fully Automatic High Quality Grammatical Error Correction?-Reference-Cited by-同舟云学术

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How Far are We from Fully Automatic High Quality Grammatical Error Correction?

Published:2015 Issue: Volume: Page:
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Container-title:Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
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Author:

Bryant Christopher,Ng Hwee Tou

Publisher

Association for Computational Linguistics

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. RuGECToR: Rule-Based Neural Network Model for Russian Language Grammatical Error Correction;Programming and Computer Software;2024-07-30

2. Evaluation of Datasets Focused on Grammatical Error Correction Using the T5 Model in Slovak;2024 34th International Conference Radioelektronika (RADIOELEKTRONIKA);2024-04-17

3. 日本語文法誤り訂正における事前学習済みモデルを用いたデータ増強;Transactions of the Japanese Society for Artificial Intelligence;2023-07-01

4. Construction of an Error-Tagged Evaluation Corpus for Japanese Grammatical Error Correction;Journal of Natural Language Processing;2023

5. FRETA-D: A Toolkit of Automatic Annotation of Grammatical and Phonetic Error Types in French Dictations;2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS);2022-11-26

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