Chapter 6, Machine Translation with the Transformer
- Machine translation has now exceeded human baselines. (True/False)
False. Machine translation is one of the most challenging NLP ML tasks.
- Machine translation requires large datasets. (True/False)
True.
- 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.
- 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.
- Smoothing techniques enhance BERT. (True/False)
True.
- German-English is the same as English-German for machine translation. (True/False)
False. Representing German and then translating into another language is not the same process as representing English and translating into another...
