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A Hybrid Approach for Improved Low Resource Neural Machine Translation
  using Monolingual Data
v1v2v3 (latest)

A Hybrid Approach for Improved Low Resource Neural Machine Translation using Monolingual Data

14 November 2020
Idris Abdulmumin
B. Galadanci
Abubakar Isa
Habeebah Adamu Kakudi
Ismaila Idris Sinan
ArXiv (abs)PDFHTMLGithub

Papers citing "A Hybrid Approach for Improved Low Resource Neural Machine Translation using Monolingual Data"

3 / 3 papers shown
Quantity vs. Quality of Monolingual Source Data in Automatic Text
  Translation: Can It Be Too Little If It Is Too Good?
Quantity vs. Quality of Monolingual Source Data in Automatic Text Translation: Can It Be Too Little If It Is Too Good?
Idris Abdulmumin
B. Galadanci
G. Aliyu
Shamsuddeen Hassan Muhammad
343
1
0
17 Oct 2024
Leveraging Closed-Access Multilingual Embedding for Automatic Sentence
  Alignment in Low Resource Languages
Leveraging Closed-Access Multilingual Embedding for Automatic Sentence Alignment in Low Resource Languages
Idris Abdulmumin
Auwal Abubakar Khalid
Shamsuddeen Hassan Muhammad
Ibrahim Said Ahmad
L. Aliyu
Babangida Sani
B.M. Abduljalil
Sani Ahmad Hassan
224
0
0
20 Nov 2023
Separating Grains from the Chaff: Using Data Filtering to Improve
  Multilingual Translation for Low-Resourced African Languages
Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African LanguagesConference on Machine Translation (WMT), 2022
Idris Abdulmumin
Michael Beukman
Jesujoba Oluwadara Alabi
Chris C. Emezue
Everlyn Asiko
...
Shamsuddeen Hassan Muhammad
Mofetoluwa Adeyemi
Oreen Yousuf
Sahib Singh
T. Gwadabe
436
11
0
19 Oct 2022
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