English-Assamese Multimodal Neural Machine Translation using Transliteration-based Phrase Augmentation Approach-Reference-Cited by-同舟云学术

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English-Assamese Multimodal Neural Machine Translation using Transliteration-based Phrase Augmentation Approach

Published:2023 Issue: Volume:218 Page:979-988
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Laskar Sahinur Rahman,Paul Bishwaraj,Pakray Partha,Bandyopadhyay Sivaji

Publisher

Elsevier BV

Subject

General Engineering

Reference31 articles.

1. Iiit-h system submission for fire2014 shared task on transliterated search;Bhat,2014

2. Caglayan, O., Barrault, L., Bougares, F., 2016. Multimodal attention for neural machine translation. CoRR abs/1609.03976.

3. Cross-lingual visual pre-training for multimodal machine translation;Caglayan,2021

4. Incorporating global visual features into attention-based neural machine translation;Calixto,2017

5. Doubly-Attentive Decoder for Multi-modal Neural Machine Translation;Calixto,2017

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Extensive examination of hyper-parameters setting using neural-based methods for limited resources language: Nyishi-English;International Journal of Information Technology;2024-06-14

2. Tokenization effect on neural machine translation: an experimental investigation for English-Assamese;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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