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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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
IEEE
2024-01-01
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| Серія: | IEEE Access |
| Предмети: | |
| Онлайн доступ: | https://ieeexplore.ieee.org/document/10580948/ |
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