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Hits 1 – 3 of 3
1
Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors ...
Mahmud, Junayed
;
Faisal, Fahim
;
Arnob, Raihan Islam
. - : arXiv, 2021
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2
Towards Minimal Supervision BERT-based Grammar Error Correction ...
Li, Yiyuan
;
Anastasopoulos, Antonios
;
Black, Alan W
. - : arXiv, 2020
Abstract:
Current grammatical error correction (GEC) models typically consider the task as sequence generation, which requires large amounts of annotated data and limit the applications in data-limited settings. We try to incorporate contextual information from pre-trained language model to leverage annotation and benefit multilingual scenarios. Results show strong potential of Bidirectional Encoder Representations from Transformers (BERT) in grammatical error correction task. ...
Keyword:
Artificial Intelligence cs.AI
;
Computation and Language cs.CL
;
FOS Computer and information sciences
URL:
https://arxiv.org/abs/2001.03521
https://dx.doi.org/10.48550/arxiv.2001.03521
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3
It's not a Non-Issue: Negation as a Source of Error in Machine Translation ...
Hossain, Md Mosharaf
;
Anastasopoulos, Antonios
;
Blanco, Eduardo
. - : arXiv, 2020
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