Chapter 5, Machine Translation with the Transformer

1. Machine translation has now exceeded human baselines. (True/False)

   False. Machine translation is one of the toughest NLP ML tasks.

2. Machine translation requires large datasets. (True/False)

   True.

3. There is no need to compare transformer models using the same datasets. (True/False)

   False. The only way to compare different models is to use the same datasets.

4. BLEU is the French word for blue and is the acronym of an NLP metric. (True/False)

   True. BLEU stands for Bilingual Evaluation Understudy Score, making it easy to remember.

5. Smoothing techniques enhance BERT. (True/False)

   True.

6. German-English is the same as English-German for machine translation. (True/False)

   False. Representing German and then translating it into another language is not the same process as representing English and then translating it into another language. The language structures are not the same.

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