Bibliography (14):

1. Towards End-to-End In-Image Neural Machine Translation

2. Towards Fully Automated Manga Translation

3. One Big Net For Everything

4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

5. MAE: Masked Autoencoders Are Scalable Vision Learners

6. Robust Open-Vocabulary Translation from Visual Text Representations

7. Attention Is All You Need

8. Vision Transformer: An Image is Worth 16×16 Words: Transformers for Image Recognition at Scale

9. PALM: Pre-training an Autoencoding & Autoregressive Language Model for Context-conditioned Generation

10. M3AE: Multimodal Masked Autoencoders Learn Transferable Representations

11. StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding

12. Building Machine Translation Systems for the Next Thousand Languages

13. Wikipedia Bibliography:

    1. Autoencoder

    2. https://en.wikipedia.org/wiki/Machine_translation  :

       https://en.wikipedia.org/wiki/Machine_translation