What are the evaluation metrics used in the evaluation of Machine translation? 

Machine Translation (MT) refers to the process of using computer algorithms to automatically translate text from one language to another. Evaluating the quality of machine-generated translations is a complex task that requires various metrics. These evaluation metrics can be broadly categorized into automatic metrics, human evaluation, and hybrid approaches that combine both. Below are some of the commonly used evaluation metrics:

1. BLEU (Bilingual Evaluation Understudy):
   BLEU is one of the most widely used automatic evaluation metrics. It works by comparing n-grams (groups of 'n' words) in the machine-translated text against a set of reference translations. The score is based on the precision of n-grams, __________ _________ _________ ____ _________.
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