An Enhanced RBMT: When RBMT Outperforms Modern Data-Driven Translators-Reference-Cited by-同舟云学术

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An Enhanced RBMT: When RBMT Outperforms Modern Data-Driven Translators

Published:2022-02-06 Issue:6 Volume:39 Page:1473-1484
ISSN:0256-4602
Container-title:IETE Technical Review
language:en
Short-container-title:IETE Technical Review

Author:

Islam Md. Adnanul¹^ORCID,Anik Md. Saidul Hoque²,Islam A. B. M. Alim Al³

Affiliation:

1. Department of Computer Science and Engineering, Military Institute of Science and Technology, Dhaka, Bangladesh

2. CSE Department, United International University, Dhaka, Bangladesh

3. CSE Department, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/02564602.2022.2026828

Reference34 articles.

1. Text Steganalysis Based on Capsule Network with Dynamic Routing

2. Available: https://www.ethnologue.com/guides/ethnologue200, last accessed on 1 September 2021.

3. An Approach Towards Multilingual Translation By Semantic-Based Verb Identification And Root Word Analysis

4. Towards achieving a delicate blending between rule-based translator and neural machine translator

5. Polygot: An approach towards reliable translation by name identification and memory optimization using semantic analysis

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2. Tulu Language Text Recognition and Translation;IEEE Access;2024

3. An attention-based hybrid deep learning approach for bengali video captioning;Journal of King Saud University - Computer and Information Sciences;2023-01

4. Exploring Word2vec Embedding for Sentiment Analysis of Bangla Raw and Romanized Text;Proceedings of International Conference on Data Science and Applications;2023

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