Papers with spelling correction models
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. |
Lattice Path Edit Distance: A Romanization-aware Edit Distance for Extracting Misspelling-Correction Pairs from Japanese Search Query Logs (2023.emnlp-industry)
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| Challenge: | Existing methods to extract misspelling-correction pairs from Japanese query logs are not effective due to the unique input methods. |
| Approach: | They propose a romanization-aware edit distance that utilizes romanization lattices to efficiently consider all possible romanized forms of input strings. |
| Outcome: | Empirical results show lattice path edit distance outperforms standard edit distance in Japanese . latticae path editing distance outpersforms existing methods even with romanization . |