Multilingual fine-tuning for Grammatical Error Correction-Reference-Cited by-同舟云学术

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Multilingual fine-tuning for Grammatical Error Correction

Published:2022-08 Issue: Volume:200 Page:116948
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Pająk Krzysztof^ORCID,Pająk Dominik

Funder

Narodowe Centrum Badań i Rozwoju

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference70 articles.

1. GWU-HASP-2015@QALB-2015 Shared task: Priming spelling candidates with probability;Attia,2015

2. Parallel iterative edit models for local sequence transduction;Awasthi,2019

3. Neural machine translation by jointly learning to align and translate;Bahdanau,2016

4. UMMU@QALB-2015 shared task: Character And word level SMT pipeline for automatic error correction of Arabic Text;Bougares,2015

5. Using wikipedia edits in low resource grammatical error correction;Boyd,2018

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3. GD-PTCF: Prompt-Tuning Based Classification Framework for Government Data;Lecture Notes in Computer Science;2024

4. Semi-supervised learning and bidirectional decoding for effective grammar correction in low-resource scenarios;PeerJ Computer Science;2023-10-24

5. Discrete Text Summarization (DeTS): A Novel Method Grounded in Natural Language Inference and Grammatical Sequence Scoring;2023 IEEE Ninth International Conference on Big Data Computing Service and Applications (BigDataService);2023-07

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