Enhanced unsupervised neural machine translation by cross lingual sense embedding and filtered back-translation for morphological and endangered Indic languages-Reference-Cited by-同舟云学术

Enhanced unsupervised neural machine translation by cross lingual sense embedding and filtered back-translation for morphological and endangered Indic languages

Published:2022-11-01 Issue: Volume: Page:1-14
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

Chauhan Shweta¹^ORCID,Saxena Shefali¹^ORCID,Daniel Philemon¹

Affiliation:

1. Department of Electronics and Communication Engineering, National Institute of Technology, Hamirpur, Himachal Pradesh, India

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2022.2135612

Reference47 articles.

1. Word Sense Disambiguation: Survey Study

2. Artetxe, M., Labaka, G. & Agirre, E. (2018). A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings. arXiv preprint arXiv:1805.06297.

3. Artetxe, M., G. Labaka, E. Agirre, and K. Cho. 2017. Unsupervised neural machine translation. Paper preseneted at the 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada. April 30 - May 3.

4. A learning to rank approach for cross-language information retrieval exploiting multiple translation resources

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. Harmonizing Precision Agriculture: Augmented Insights into Plant Disease Detection Using Deep Learning;2024 International Conference on Integrated Circuits, Communication, and Computing Systems (ICIC3S);2024-06-08

2. Review of ambiguity problem in text summarization using hybrid ACA and SLR;Intelligent Systems with Applications;2024-06