Neural machine translation with limited resources
With the advent of deep neural networks in recent years, Neural Machine Translation (NMT) systems have achieved state-of-the-art performance on standard translation benchmarks. NMT is a way to translate from one language to another with a single neural network in an end-to-end manner. The NMT models...
Saved in:
Main Author: | Mohiuddin, Tasnim |
---|---|
Other Authors: | Joty Shafiq Rayhan |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/157475 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Improving neural machine translation: data centric approaches
by: Nguyen, Xuan Phi
Published: (2023) -
Building generalizable models for discourse phenomena evaluation and machine translation
by: Jwalapuram, Prathyusha
Published: (2023) -
Natural language translation with graph convolutional neural network
by: Zhu, Yimin
Published: (2018) -
Neural architecture search
by: Chang, Chuan Hong
Published: (2022) -
Fintech related machine learning : credit risk analysis using machine learning models
by: Ng, Zaphyr Wee Hau
Published: (2021)