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# Model Card for Model ID
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The **eng-nyi-nmt** model is a neural machine translation (NMT) model fine-tuned on the **
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To develop **eng-nyi-nmt**, the pre-trained model **Helsinki-NLP/opus-mt-en-hi** (English-to-Hindi) was leveraged as a foundation, given the structural similarities between Hindi and Nyishi in a multilingual context. Using transfer learning on this model allowed efficient adaptation of the Nyishi translation model, even with limited language data.
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# Model Card for Model ID
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The **eng-nyi-nmt** model is a neural machine translation (NMT) model fine-tuned on the **EnNyiCorp** (under development), consisting of English and Nyishi language pairs. Nyishi, a low-resource language spoken in Arunachal Pradesh, India, faces challenges due to the scarcity of digital resources and linguistic datasets. This model aims to support the translation of Nyishi, helping preserve and promote its use in digital spaces.
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To develop **eng-nyi-nmt**, the pre-trained model **Helsinki-NLP/opus-mt-en-hi** (English-to-Hindi) was leveraged as a foundation, given the structural similarities between Hindi and Nyishi in a multilingual context. Using transfer learning on this model allowed efficient adaptation of the Nyishi translation model, even with limited language data.
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