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Developed by researchers from Apple, aiming to enhance machine translation, AlignInstruct represents a paradigm shift in tackling datascarcity. The success of AlignInstruct in enhancing machine translation for low-resource languages is a testament to the importance of innovative approaches in computationallinguistics.
With the significant advancement in the fields of Artificial Intelligence (AI) and Natural Language Processing (NLP), Large Language Models (LLMs) like GPT have gained attention for producing fluent text without explicitly built grammar or semantic modules.
Also, region-unaware MT systems tend to favor whichever variety has more data available online, which disproportionately affects speakers of under-resourced language varieties. However, the vast majority of available training data doesn’t specify what regional variety the translation is in.
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