Questions

1. Machine translation has now exceeded human baselines. (True/False)
2. Machine translation requires large datasets. (True/False)
3. There is no need to compare transformer models using the same datasets. (True/False)
4. BLEU is the French word for blue and is the acronym of an NLP metric. (True/False)
5. Smoothing techniques enhance BERT. (True/False)
6. German-English is the same as English-German for machine translation. (True/False)
7. The Original Transformer multi-head attention sub-layer has two heads. (True/False)
8. The Original Transformer encoder has six layers. (True/False)
9. The Original Transformer encoder has six layers but only two decoder layers. (True/False)
10. You can train transformers without decoders. (True/False)