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BLEU (bilingual evaluation understudy) is an algorithm for evaluating the quality of text which has been machine-translated from one natural language to another. Quality is considered to be the correspondence between a machine's output and that of a human: "the closer a machine translation is to a professional human translation, the better it is" – this is the central idea behind BLEU.
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Given those three samples, we could calculate the mean reciprocal rank as (/ + / +) / = /, or approximately 0.61. If none of the proposed results are correct, the reciprocal rank is 0. [ 1 ] Note that only the rank of the first relevant answer is considered, and possible further relevant answers are ignored.
A practitioner collects measurements from between four and nine areas of the body, depending on the protocol, and inputs them into a formula to calculate body fat percentage.
It is based on the BLEU metric, but with some alterations. Where BLEU simply calculates n-gram precision adding equal weight to each one, NIST also calculates how informative a particular n-gram is. That is to say when a correct n-gram is found, the rarer that n-gram is, the more weight it will be given. [1]
Super Bowl 59 is right around the corner, but many NFL fan bases have already started looking ahead to next season with their teams eliminated.. The league's 2025 offseason will kick into gear not ...
According to the New York Times, here's exactly how to play Strands: Find theme words to fill the board. Theme words stay highlighted in blue when found.
As with BLEU, the basic unit of evaluation is the sentence, the algorithm first creates an alignment (see illustrations) between two sentences, the candidate translation string, and the reference translation string. The alignment is a set of mappings between unigrams. A mapping can be thought of as a line between a unigram in one string, and a ...