Papers with monolingual teacher model

1 papers
Multi-teacher Distillation for Multilingual Spelling Correction (2023.emnlp-industry)

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Challenge: a multilingual spelling correction model is needed to meet the tight latency requirements of multilingual NLP . a monolingual teacher model is trained for each language/locale, and individual models are distilled into a single student model .
Approach: They propose a multilingual approach to spelling correction using multi-teacher distillation . they train a monolingual teacher model for each language and distill them into a single model .
Outcome: The proposed model can meet the tight latency requirements of deployed services.

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