Grammarly in Malay Text : Bahasa Melayu Spell Checker Using Long-Short Term Memory Algorithm

• Main Author: Padil, Muhammad Syahrul Amry Ansary
• Format: Final Year Project
• Language: English
• Published: 2022
• Subjects: T Technology (General)
• Online Access: http://utpedia.utp.edu.my/id/eprint/24546/1/Grammarly%20in%20Malay%20Text%20%20Bahasa%20Melayu%20Spell%20Checker%20Using%20Long-Short%20Term%20Memory%20Algorithm.pdf; http://utpedia.utp.edu.my/id/eprint/24546/
• Institution: Universiti Teknologi Petronas

A spell checker is a tool for detecting and correcting various spelling errors. While it might be trivial for humans, spell detecting and correcting can be very useful for machines, because machines could not understand human language. In Natural Language Processing (NLP), spelling checker is a task that has widely performed to normalize data, since most raw texts are noisy and have many spelling errors. In recent years, Long-Short Term Memory (LSTM) has shown to give an extraordinary result in solving sequential problems, including spelling correction. Therefore, we propose a LSTM model that encodes input word at character level as feature.