Multi-Head Attention Based Bidirectional LSTM for Spelling Error Detection in the Indonesian Language

Multi-Head Attention Based Bidirectional LSTM for Spelling Error Detection in the Indonesian Language

Spelling errors in textual content may significantly hinder communication and comprehension, particularly in formal writing, such as news or reports. Thus, it becomes considerably more important to identify and fix spelling mistakes in the Indonesian language. Despite its significance, there has not...

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Bibliographic Details
Main Authors: Yanfi Yanfi, Haryono Soeparno, Reina Setiawan, Widodo Budiharto
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Bidirectional long short-term memory
Indonesian language
multi-head attention mechanism
natural language processing
spell error detection
Online Access:https://ieeexplore.ieee.org/document/10580948/

Internet

https://ieeexplore.ieee.org/document/10580948/

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