Cross-lingual Transfer Learning with Data Selection for Large-Scale Spoken Language Understanding (D19-1)
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| Challenge: | Existing approaches to improve cross-lingual transfer learning on spoken language are pre-train on all available supervised data from another language. |
| Approach: | They propose a language model based source-language data selection method for cross-lingual transfer learning in spoken language understanding. |
| Outcome: | The proposed method reduces training time and improves model performance on spoken language understanding. |
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