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Improving low-resource machine transliteration by using 3-way transfer learning

  • Published:2022-03 Issue: Volume:72 Page:101283
  • ISSN:0885-2308
  • Container-title:Computer Speech & Language
  • language:en
  • Short-container-title:Computer Speech & Language

Author:

Wu Chun-KaiORCID,Shih Chao-ChuangORCID,Wang Yu-Chun,Tsai Richard Tzong-HanORCID

Funder

Ministry of Science and Technology, Taiwan

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference27 articles.

1. Transliteration by sequence labeling with lattice encodings and reranking;Ammar,2012

2. Neural machine translation by jointly learning to align and translate;Bahdanau,2014

3. NEWS 2018 whitepaper;Chen,2018

4. A modified joint source-channel model for transliteration;Ekbal,2006

5. Finch, A., Liu, L., Wang, X., Sumita, E., 2016. Target-bidirectional neural models for machine transliteration. In: Proceedings of the Sixth Named Entity Workshop. pp. 78–82.

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1. Transfer Learning-Based Neural Machine Translation for Low-Resource Languages;ACM Transactions on Asian and Low-Resource Language Information Processing;2023-09-13

2. The neural machine translation models for the low-resource Kazakh–English language pair;PeerJ Computer Science;2023-02-08

3. Hyper-parameter optimization in neural-based translation systems: A case study;International Journal on Smart Sensing and Intelligent Systems;2023-01-01

4. Performance Comparison of Statistical vs. Neural-Based Translation System on Low-Resource Languages;International Journal on Smart Sensing and Intelligent Systems;2023-01-01

5. Context-aware Transliteration of Romanized South Asian Languages;Computational Linguistics;2023
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