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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
Chon-Moy Kang
UOW Malaysia KDU University College
Computer Science & IT Engineering

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Sequence-to-sequence neural machine translation for English-Malay Yeong Tsann Phua; Sujata Navaratnam; Chon-Moy Kang; Wai-Seong Che
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 11, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v11.i2.pp658-665

Abstract

Machine translation aims to translate text from a specific language into another language using computer software. In this work, we performed neural machine translation with attention implementation on English-Malay parallel corpus. We attempt to improve the model performance by rectified linear unit (ReLU) attention alignment. Different sequence-to-sequence models were trained. These models include long-short term memory (LSTM), gated recurrent unit (GRU), bidirectional LSTM (Bi-LSTM) and bidirectional GRU (Bi-GRU). In the experiment, both bidirectional models, Bi-LSTM and Bi-GRU yield a converge of below 30 epochs. Our study shows that the ReLU attention alignment improves the bilingual evaluation understudy (BLEU) translation score between score 0.26 and 1.12 across all the models as compare to the original Tanh models.
Co-Authors Sujata Navaratnam Wai-Seong Che Yeong Tsann Phua