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BLEU - Wikipedia 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
BLEU详解 - 知乎 - 知乎专栏 Bleu[1]是IBM在2002提出的，用于机器翻译任务的评价，发表在ACL，引用次数10000+，原文题目是“BLEU: a Method for Automatic Evaluation of Machine Translation”。 它的总体思想就是准确率，假如给定标准译文reference，神经网络生成的句子是candidate，句子长度为n，candidate中有m个
NLP - BLEU Score for Evaluating Neural Machine Translation - Python 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
Bleu: a Method for Automatic Evaluation of Machine Translation Bleu: a Method for Automatic Evaluation of Machine Translation In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics , pages 311–318, Philadelphia, Pennsylvania, USA