Neural Machine Translation Models with Attention-Based Dropout Layer
In bilingual translation, attention-based Neural Machine Translation (NMT) models are used to achieve synchrony between input and output sequences and the notion of alignment. NMT model has obtained state-of-the-art performance for several language pairs. However, there has been little work explorin...
| Published in: | Computers, Materials and Continua |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Tech Science Press
2023
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85154579168&doi=10.32604%2fcmc.2023.035814&partnerID=40&md5=49d9b0e72985224dcb6209ce864a271f |