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Dataset . 2018
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2018
License: CC BY
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ZENODO
Dataset . 2018
License: CC BY
Data sources: Datacite
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Accompanying Dataset For: A Monte Carlo Method For Metamorphic Testing Of Machine Translation Services

Authors: Zhou, Zhi Quan;

Accompanying Dataset For: A Monte Carlo Method For Metamorphic Testing Of Machine Translation Services

Abstract

This dataset includes enhanced analysis of the machine translation data. The original dataset has been reported in [1], where white spaces were used to separate words in different languages. This is however not the best method of analyzing some Asian languages such as the Chinese language. In the present analysis, we used a character-based approach to separating the Chinese and Japanese results, hence obtaining a different set of BLEU and Cosine Similarity scores. These new scores are given in the present dataset. [1] Daniel Pesu, Zhi Quan Zhou, Jingfeng Zhen, & Dave Towey. (2018). Accompanying dataset for: A Monte Carlo Method for Metamorphic Testing of Machine Translation Services (Version 1.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.1194560

{"references": ["https://doi.org/10.1145/3193977.3193980"]}

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machine translation

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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