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, _____ ______ _________ ________ _______ ______ _______ _____ __________ __________ ________.
___ __________ __________ ___ __________ ____ _____ ______ _____ _______.
______ ___ ______ __________ _____ _______ _________ _____ _______.
_________ ______ ________ ________ _____ __________.
____ _________ _________ _____ ____ _________ _______.
________ _______ _____ ___ ____ _____ ____ _____ ___ _______.
____ __________ ________ ________ _______.
__________ ___ ___ ________ _______.
__________ ______ ____ ___ _____.
___ ________ ____ _________ ___ _________ __________ _______ ________ __________ _______ _______.
___ ____ _______ ________ __________ _____ ___ __________ ___ ________ _________ ______.
___ _____ ____ ________ _______ ___ _________ ___ ___ ______ ________.
_____ _________ _______ ______ __________ ________ ______.
___ ____ _______ ______ __________ ___ __________ _______ ____ _________ ___ _____.
_________ __________ ________ _______ ____ ___ _____ ____.
___ ___ _________ ___ ____ ______ _________ __________ _____ _____ ___ ____.
____ ____ _____ __________ ________ _________ _________ _______ _______.
_____ ______ _____ ____ ______ ________ ___ _________ ________ ___ __________ ____.
_______ ____ _______ _________ _______ _________ ____ _____ ________ _______.
________ _________ _____ ______ ____.
_________ ___ _________ _____ _____ ____.
___ ____ ______ ________ _________ _________ ___ __________ _________ ________ ___.
___ ________ ____ _______ _____ ___ _____ __________ _________ _________ _______ ___.
_______ __________ ______ ______ ________ __________ __________.
____ ___ ____ ___ _____ ___ ________ ____ ___ ______.
______ ___ _____ ____ __________.
_______ ____ ___ ______ __________ ___ _________ _______ ____ _________ _________.
____ ___ __________ ____ _____.
_________ ___ _________ __________ _______ ____ _______.
_________ ________ ________ ______ ______ _________ ____ _______.
______ _____ _______ ___ _____ __________ ___ _______ _______ __________.
__________ ________ ____ ___ _____.
___ ________ ___ _______ ____ __________ _____ _______ _____ ______ ___ _________.
___ __________ ________ ______ _____ ___ __________ _________ _____ ____ ______.
____ __________ _______ ________ __________ __________ _________ ____ _______ __________ _________ _______.
_________ ________ ______ __________ __________ ____ _____ _________ _________ ____ _______.
___ ________ _____ ______ _______ ______ __________ __________ _____ ________.
____ ___ _________ ______ _________ ________ _______.
__________ _____ _________ _______ _________ ________ ______ ______ __________ __________.
__________ ________ _________ ______ ________ ___ __________ ______ ___ ___ ________ _________.
_______ _________ _______ ________ ______ _____ ____ ________ ___ ______.
_________ ___ ____ _________ ________.
__________ ___ ________ ______ _____ ______ __________.
____ ____ ___ _____ ___ ______ ___ ________ ________ ______.
___ __________ ______ ___ ______.
______ ____ _______ ___ ________ __________ ______ ______ _____ ________ ______.
________ ________ ___ __________ _______ __________.
_____ _______ ________ _________ _____ ______ _____ ____ __________ __________ _______ ________.
____ ___ ______ ______ ________ ______.
Get Full Answer on WhatsApp