Thai Spelling Correction and Word Normalization on Social Text Using a Two-Stage Pipeline With Neural Contextual Attention

Thai Spelling Correction and Word Normalization on Social Text Using a Two-Stage Pipeline With Neural Contextual Attention

Text correction systems (e.g., spell checkers) have been used to improve the quality of computerized text by detecting and correcting errors. However, the task of performing spelling correction and word normalization (text correction) for Thai social media text has remained largely unexplored. In th...

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Bibliographic Details
Main Authors: Anuruth Lertpiya, Tawunrat Chalothorn, Ekapol Chuangsuwanich
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Natural language processing
machine learning
artificial neural networks
text generation
spelling correction
text normalization
Online Access:https://ieeexplore.ieee.org/document/9145483/

Internet

https://ieeexplore.ieee.org/document/9145483/

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