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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.
Iskander et al. (Sun,) studied this question.
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