Translation quality assessment: A brief survey on manual and automatic methods
To facilitate effective translation modeling and translation studies, one of the crucial
questions to address is how to assess translation quality. From the perspectives of accuracy …
questions to address is how to assess translation quality. From the perspectives of accuracy …
An overview on machine translation evaluation
Since the 1950s, machine translation (MT) has become one of the important tasks of AI and
development, and has experienced several different periods and stages of development …
development, and has experienced several different periods and stages of development …
Machine translation evaluation resources and methods: A survey
We introduce the Machine Translation (MT) evaluation survey that contains both manual and
automatic evaluation methods. The traditional human evaluation criteria mainly include the …
automatic evaluation methods. The traditional human evaluation criteria mainly include the …
[PDF][PDF] Machine translation evaluation: A survey
This paper introduces the state-of-the-art machine translation (MT) evaluation survey that
contains both manual and automatic evaluation methods. The traditional human evaluation …
contains both manual and automatic evaluation methods. The traditional human evaluation …
LEPOR: An Augmented Machine Translation Evaluation Metric
Machine translation (MT) was developed as one of the hottest research topics in the natural
language processing (NLP) literature. One important issue in MT is that how to evaluate the …
language processing (NLP) literature. One important issue in MT is that how to evaluate the …
Integrating meaning into quality evaluation of machine translation
Abstract Machine translation (MT) quality is evaluated through comparisons between MT
outputs and the human translations (HT). Traditionally, this evaluation relies on form related …
outputs and the human translations (HT). Traditionally, this evaluation relies on form related …
[PDF][PDF] 关于机器翻译评测研究的综述性报告
L Han - academia.edu
自从1950 年代开始, 机器翻译成为人工智能研究发展的重要任务之一, 经历了几个不同时期和
阶段性发展, 包括基于规则的方法, 统计的方法, 和最**提出的基于神经网络的学**方法 …
阶段性发展, 包括基于规则的方法, 统计的方法, 和最**提出的基于神经网络的学**方法 …