Remove AI Remove Computational Linguistics Remove Data Scarcity
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This AI Paper from Apple Unveils AlignInstruct: Pioneering Solutions for Unseen Languages and Low-Resource Challenges in Machine Translation

Marktechpost

Developed by researchers from Apple, aiming to enhance machine translation, AlignInstruct represents a paradigm shift in tackling data scarcity. The success of AlignInstruct in enhancing machine translation for low-resource languages is a testament to the importance of innovative approaches in computational linguistics.

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Leveraging Linguistic Expertise in NLP: A Deep Dive into RELIES and Its Impact on Large Language Models

Marktechpost

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.

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FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation

Google Research AI blog

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.