We increase the depth of the Transformer to 24 layers to obtain improvedSourceFiletranslation quality. 📄 https://t.co/Tr3CskxBQX https://t.co/VEJfIJEAFe
Machine Translation
Springer Nature Singapore
We increase the depth of the Transformer to 24 layers to obtain improvedSourceFiletranslation quality. 📄 https://t.co/Tr3CskxBQX https://t.co/VEJfIJEAFe
Optimizing Deep Transformers for Chinese-Thai Low-Resource Translation https://t.co/9zvKmO6qNB このホワイト ペーパーでは、CCMT 2022 中国語 - タイ語の低リソース機械翻訳タスクのための深い Transformer 翻訳モデルの使用について検討します。最初に、6 層トランスフォーマーを使
https://t.co/jLoo6jfoQo Optimizing Deep Transformers for Chinese-Thai Low-Resource Translation. (arXiv:2212.12662v1 [https://t.co/HW5RVw4UkE]) #NLProc
#arXiv #NLP Optimizing Deep Transformers for Chinese-Thai Low-Resource Translation. (arXiv:2212.12662v1 [https://t.co/ADR5apFNsK]) https://t.co/wDl3SM9Ogz