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Machine translation (MT) for Indian languages remains constrained by the limited availability of high-quality, Indic-centric parallel corpora and evaluation benchmarks. Existing multilingual resources are largely constructed from English-pivot content and often fail to capture the linguistic diversity, cultural complex...
The results demonstrate that the Whisper model can achieve a substantially low WER, even when adapted to an unseen language.
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