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
L Han - arXiv preprint arXiv:2202.11027, 2022 - arxiv.org
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
L Han - arXiv preprint arXiv:1605.04515, 2016 - arxiv.org
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
L Han - arXiv preprint arXiv:1703.08748, 2017 - arxiv.org
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 …
Identification of relevant and redundant automatic metrics for MT evaluation
The paper is aimed at automatic metrics for translation quality assessment (TQA),
specifically at machine translation (MT) output and the metrics for the evaluation of MT …
specifically at machine translation (MT) output and the metrics for the evaluation of MT …
Modelling Text Similarity: A Survey
Online social networking services such as Twitter and Instagram have become pervasive
platforms for engaging in discussions on a wide array of topics. These platforms cater to both …
platforms for engaging in discussions on a wide array of topics. These platforms cater to both …
Similarity between Units of Natural Language: The Transition from Coarse to Fine Estimation
W Mu - arXiv preprint arXiv:2210.14275, 2022 - arxiv.org
Capturing the similarities between human language units is crucial for explaining how
humans associate different objects, and therefore its computation has received extensive …
humans associate different objects, and therefore its computation has received extensive …
[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, 和最近提出的基于神经网络的学习方法 …
阶段性发展, 包括基于规则的方法, 统计的方法, 和最近提出的基于神经网络的学习方法 …
Exploiting rich feature representation for smt n-best reranking
N-best reranking in statistical machine translation (SMT) aims to rescore the possible
translation hypotheses such that the best hypothesis appears on the top of the list. The …
translation hypotheses such that the best hypothesis appears on the top of the list. The …