@inproceedings{toral-2019-practical,
title = "Practical Statistics for Research in Machine Translation and Translation Studies",
author = "Toral, Antonio",
editor = "Rossi, Laura",
booktitle = "Proceedings of Machine Translation Summit XVII: Tutorial Abstracts",
month = aug,
year = "2019",
address = "Dublin, Ireland",
publisher = "European Association for Machine Translation",
url = "https://aclanthology.org/W19-7604",
abstract = "The tutorial will introduce a set of very useful statistical tests for conducting analyses in the research areas of Machine Translation (MT) and Translation Studies (TS). For each statistical test, the presenter will: 1) introduce it in the context of a common research example that pertains to the area of MT and/or TS 2) explain the technique behind the test and its assumptions 3) cover common pitfalls when the test is applied in research studies, and 4) conduct a hands-on activity so that attendees can put the knowledge acquired in practice straight-away. All examples and exercises will be in R. The following statistical tests will be covered: t-tests (both parametric and non-parametric), bootstrap resampling, Pearson and Spearman correlation coefficients, linear mixed-effects models.",
}
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<abstract>The tutorial will introduce a set of very useful statistical tests for conducting analyses in the research areas of Machine Translation (MT) and Translation Studies (TS). For each statistical test, the presenter will: 1) introduce it in the context of a common research example that pertains to the area of MT and/or TS 2) explain the technique behind the test and its assumptions 3) cover common pitfalls when the test is applied in research studies, and 4) conduct a hands-on activity so that attendees can put the knowledge acquired in practice straight-away. All examples and exercises will be in R. The following statistical tests will be covered: t-tests (both parametric and non-parametric), bootstrap resampling, Pearson and Spearman correlation coefficients, linear mixed-effects models.</abstract>
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%0 Conference Proceedings
%T Practical Statistics for Research in Machine Translation and Translation Studies
%A Toral, Antonio
%Y Rossi, Laura
%S Proceedings of Machine Translation Summit XVII: Tutorial Abstracts
%D 2019
%8 August
%I European Association for Machine Translation
%C Dublin, Ireland
%F toral-2019-practical
%X The tutorial will introduce a set of very useful statistical tests for conducting analyses in the research areas of Machine Translation (MT) and Translation Studies (TS). For each statistical test, the presenter will: 1) introduce it in the context of a common research example that pertains to the area of MT and/or TS 2) explain the technique behind the test and its assumptions 3) cover common pitfalls when the test is applied in research studies, and 4) conduct a hands-on activity so that attendees can put the knowledge acquired in practice straight-away. All examples and exercises will be in R. The following statistical tests will be covered: t-tests (both parametric and non-parametric), bootstrap resampling, Pearson and Spearman correlation coefficients, linear mixed-effects models.
%U https://aclanthology.org/W19-7604
Markdown (Informal)
[Practical Statistics for Research in Machine Translation and Translation Studies](https://aclanthology.org/W19-7604) (Toral, MTSummit 2019)
ACL