Parallel corpora play a crucial role in the field of natural language processing, especially in tasks such as machine translation and cross-language information retrieval. However, with the increasing demand for more languages, the challenges are becoming increasingly apparent, especially for low-resource languages. The purpose of this paper is to summarize the current status of parallel corpus research, discuss the challenges faced by low-resource corpora, focus on plug-in-based translation techniques to automatically construct Chinese-Uyghur and Chinese-Kazakh parallel lexicons. And look forward to the future research direction.

Zulkar Iskander, Azragul Yusup. Research on the Construction of Low-Resource Parallel Corpus Based on Translation Plug-in Technology. International Journal of Educational Curriculum Management and Research (2024), Vol. 5, Issue 1: 101-106. https://doi.org/10.38007/IJECMR.2024.050115.

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