Constructing a Chinese-Vietnamese bilingual corpus from subtitle websites Online publication date: Tue, 01-Oct-2024
by Phuc-Nghi Nguyen; Phuoc Tran
International Journal of Intelligent Information and Database Systems (IJIIDS), Vol. 16, No. 4, 2024
Abstract: In this work, we introduce a method of constructing a Chinese-Vietnamese bilingual corpus on subtitle resources. The corpus construction process involved careful curation and preprocessing of the chosen subtitle data to ensure its suitability for training and evaluating machine translation models. We applied rigorous quality control measures to enhance the reliability and relevance of the collected corpus by systematically eliminating entries that did not meet a predetermined level of correctness. We use the two robust neural machine translation models to experiment on the collected corpus. The experimental results show that the highest BLEU score of the collected corpus is 22.0, much higher than the OpenSubtitles 2016 corpus - one of the most popular subtitle corpus today. By curating a specialised corpus, we aim to contribute valuable resources to the field of machine translation, fostering advancements in the understanding and improvement of translation quality between Chinese and Vietnamese.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Intelligent Information and Database Systems (IJIIDS):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook