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An Empirical Study of Incorporating Pseudo Data into Grammatical Error
  Correction

An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction

2 September 2019
Shun Kiyono
Jun Suzuki
Masato Mita
Tomoya Mizumoto
Kentaro Inui
ArXivPDFHTML

Papers citing "An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction"

25 / 25 papers shown
Title
Organic Data-Driven Approach for Turkish Grammatical Error Correction
  and LLMs
Organic Data-Driven Approach for Turkish Grammatical Error Correction and LLMs
Asim Ersoy
O. T. Yildiz
41
0
0
24 May 2024
A Combination of BERT and Transformer for Vietnamese Spelling Correction
A Combination of BERT and Transformer for Vietnamese Spelling Correction
Trung Hieu Ngo
Ham Duong Tran
Tin Huynh
Kiem Hoang
45
5
0
04 May 2024
Pillars of Grammatical Error Correction: Comprehensive Inspection Of
  Contemporary Approaches In The Era of Large Language Models
Pillars of Grammatical Error Correction: Comprehensive Inspection Of Contemporary Approaches In The Era of Large Language Models
Kostiantyn Omelianchuk
Andrii Liubonko
Oleksandr Skurzhanskyi
Artem Chernodub
Oleksandr Korniienko
Igor Samokhin
29
2
0
23 Apr 2024
Grammatical Error Correction for Code-Switched Sentences by Learners of
  English
Grammatical Error Correction for Code-Switched Sentences by Learners of English
Kelvin Wey Han Chan
Christopher Bryant
Li Nguyen
Andrew Caines
Zheng Yuan
56
2
0
18 Apr 2024
Efficient Grammatical Error Correction Via Multi-Task Training and
  Optimized Training Schedule
Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule
A. Bout
Alexander Podolskiy
Sergey I. Nikolenko
Irina Piontkovskaya
41
7
0
20 Nov 2023
IdEALS: Idiomatic Expressions for Advancement of Language Skills
IdEALS: Idiomatic Expressions for Advancement of Language Skills
Narutatsu Ri
Bill Sun
Sam Davidson
Zhou Yu
23
0
0
23 May 2023
Bidirectional Transformer Reranker for Grammatical Error Correction
Bidirectional Transformer Reranker for Grammatical Error Correction
Ying Zhang
Hidetaka Kamigaito
Manabu Okumura
24
2
0
22 May 2023
Sentence-level Feedback Generation for English Language Learners: Does
  Data Augmentation Help?
Sentence-level Feedback Generation for English Language Learners: Does Data Augmentation Help?
Shabnam Behzad
Amir Zeldes
Nathan Schneider
16
5
0
18 Dec 2022
Grammatical Error Correction: A Survey of the State of the Art
Grammatical Error Correction: A Survey of the State of the Art
Christopher Bryant
Zheng Yuan
Muhammad Reza Qorib
Hannan Cao
Hwee Tou Ng
Ted Briscoe
3DV
31
79
0
09 Nov 2022
Judge a Sentence by Its Content to Generate Grammatical Errors
Judge a Sentence by Its Content to Generate Grammatical Errors
C. R. Rahman
25
1
0
20 Aug 2022
Towards Automated Document Revision: Grammatical Error Correction,
  Fluency Edits, and Beyond
Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond
Masato Mita
Keisuke Sakaguchi
Masato Hagiwara
Tomoya Mizumoto
Jun Suzuki
Kentaro Inui
48
15
0
23 May 2022
Ensembling and Knowledge Distilling of Large Sequence Taggers for
  Grammatical Error Correction
Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction
M. Tarnavskyi
Artem Chernodub
Kostiantyn Omelianchuk
3DV
25
24
0
24 Mar 2022
Error Correction in ASR using Sequence-to-Sequence Models
Error Correction in ASR using Sequence-to-Sequence Models
S. Dutta
Shreyansh Jain
Ayush Maheshwari
Souvik Pal
Ganesh Ramakrishnan
Preethi Jyothi
KELM
43
30
0
02 Feb 2022
A Syntax-Guided Grammatical Error Correction Model with Dependency Tree
  Correction
A Syntax-Guided Grammatical Error Correction Model with Dependency Tree Correction
Zhaohong Wan
Xiaojun Wan
38
6
0
05 Nov 2021
Hierarchical Character Tagger for Short Text Spelling Error Correction
Hierarchical Character Tagger for Short Text Spelling Error Correction
Mengyi Gao
Canran Xu
Peng Shi
VLM
3DV
32
6
0
29 Sep 2021
DeepDebug: Fixing Python Bugs Using Stack Traces, Backtranslation, and
  Code Skeletons
DeepDebug: Fixing Python Bugs Using Stack Traces, Backtranslation, and Code Skeletons
Dawn Drain
Colin B. Clement
Guillermo Serrato
Neel Sundaresan
25
31
0
19 May 2021
Generating Bug-Fixes Using Pretrained Transformers
Generating Bug-Fixes Using Pretrained Transformers
Dawn Drain
Chen Henry Wu
Alexey Svyatkovskiy
Neel Sundaresan
31
50
0
16 Apr 2021
Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting
Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting
Wangchunshu Zhou
Tao Ge
Canwen Xu
Ke Xu
Furu Wei
LRM
16
15
0
02 Jan 2021
Improving the Efficiency of Grammatical Error Correction with Erroneous
  Span Detection and Correction
Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction
M. Chen
Tao Ge
Xingxing Zhang
Furu Wei
M. Zhou
27
46
0
07 Oct 2020
Data Weighted Training Strategies for Grammatical Error Correction
Data Weighted Training Strategies for Grammatical Error Correction
Jared Lichtarge
Chris Alberti
Shankar Kumar
28
46
0
07 Aug 2020
GECToR -- Grammatical Error Correction: Tag, Not Rewrite
GECToR -- Grammatical Error Correction: Tag, Not Rewrite
Kostiantyn Omelianchuk
Vitaliy Atrasevych
Artem Chernodub
Oleksandr Skurzhanskyi
36
305
0
26 May 2020
Stronger Baselines for Grammatical Error Correction Using Pretrained
  Encoder-Decoder Model
Stronger Baselines for Grammatical Error Correction Using Pretrained Encoder-Decoder Model
Satoru Katsumata
Mamoru Komachi
33
53
0
24 May 2020
Encoder-Decoder Models Can Benefit from Pre-trained Masked Language
  Models in Grammatical Error Correction
Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction
Masahiro Kaneko
Masato Mita
Shun Kiyono
Jun Suzuki
Kentaro Inui
35
143
0
03 May 2020
Approaching Neural Grammatical Error Correction as a Low-Resource
  Machine Translation Task
Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task
Marcin Junczys-Dowmunt
Roman Grundkiewicz
Shubha Guha
Kenneth Heafield
33
192
0
16 Apr 2018
Six Challenges for Neural Machine Translation
Six Challenges for Neural Machine Translation
Philipp Koehn
Rebecca Knowles
AAML
AIMat
227
1,211
0
12 Jun 2017
1