BLEU - Wikipedia
网页BLEU (bilingual evaluation understudy) is an algorithm for evaluating the quality of text which has been machine-translated from one natural language to another.
BLEU Score for Evaluating Neural Machine Translation
网页2024年3月8日 — BLEU (Bilingual Evaluation Understudy) is a score used to evaluate the translations performed by a machine translator. In this article, we’ll see the mathematics behind the BLEU score and its implementation in Python.
Foundations of NLP Explained — Bleu Score and WER Metrics
网页2021年5月9日 — A Gentle Guide to two essential metrics (Bleu Score and Word Error Rate) for NLP models, in Plain English
BLEU - a Hugging Face Space by evaluate-metric
网页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 cor...
Two minutes NLP — Learn the BLEU metric by examples - Medium
网页2022年1月11日 — BLEU, or the Bilingual Evaluation Understudy, is a metric for comparing a candidate translation to one or more reference translations. Although developed for translation, it can be used to...
A Gentle Introduction to Calculating the BLEU Score for Text in …
网页2019年12月18日 — BLEU, or the Bilingual Evaluation Understudy, is a score for comparing a candidate translation of text to one or more reference translations. Although developed for translation, it can be used to evaluate text generated for a suite of natural language processing tasks.
Understanding BLEU Score in NLP: Evaluating Translation Quality
网页Discover the significance of BLEU (Bilingual Evaluation Understudy) score in natural language processing (NLP) and machine translation. Learn how BLEU measures text similarity, its calculation formula, interpretation, and its role in assessing translation quality.
Understanding Bleu Score - OpenGenus IQ
网页BLEU (Bilingual Evaluation Understudy) score was proposed in 2002 and has quickly become the standard score for evaluating machine translation output. It measures the similarity between a machine's translated text and a …
Understanding machine translation Quality: BLEU scores - RWS
网页2019年4月12日 — Very simply stated, BLEU is a quality metric score for MT systems that attempts to measure the correspondence between a machine translation output and a human translation. The central idea behind BLEU is that the closer a machine translation is to a professional human translation, the better it is.
NLP Metrics Made Simple: The BLEU Score
网页2021年2月8日 — BLEU works by computing the precision — the fraction of tokens from the candidate that appear, or are “covered”, by the references— but with a twist. Like any precision-based metric, the value of the BLEU score is …
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