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With the significant advancement in the fields of Artificial Intelligence (AI) and NaturalLanguageProcessing (NLP), Large Language Models (LLMs) like GPT have gained attention for producing fluent text without explicitly built grammar or semantic modules.
Machine translation, an integral branch of NaturalLanguageProcessing, is continually evolving to bridge language gaps across the globe. One persistent challenge is the translation of low-resource languages, which often need more substantial data for training robust models.
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