February 2020
Intermediate to advanced
328 pages
8h 19m
English
Content preview from Deep Learning with R Cookbook
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Evaluating the quality of generated text works similarly to evaluating labels. The Bilingual Evaluation Understudy (BLEU) score is a popular metric for comparing a generated translation of a piece of text to a reference translation and varies from 0 to 1. The closer the generated text is to the original text, the higher the score, with 1 being the score of a perfect match. Through the BLEU score metric, the n-grams of the candidate text are compared with the n-grams of the reference translation, along with the number of matches; these matches are also position-independent. Also, the n-grams matching is modified in such a way that it does not reward any such translation that generates only a few reasonable words. This technique ...
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