Practical Statistics for Research in Machine Translation and Translation Studies

Antonio Toral


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.
Anthology ID:
W19-7604
Volume:
Proceedings of Machine Translation Summit XVII: Tutorial Abstracts
Month:
August
Year:
2019
Address:
Dublin, Ireland
Editor:
Laura Rossi
Venue:
MTSummit
SIG:
Publisher:
European Association for Machine Translation
Note:
Pages:
Language:
URL:
https://aclanthology.org/W19-7604
DOI:
Bibkey:
Cite (ACL):
Antonio Toral. 2019. Practical Statistics for Research in Machine Translation and Translation Studies. In Proceedings of Machine Translation Summit XVII: Tutorial Abstracts, Dublin, Ireland. European Association for Machine Translation.
Cite (Informal):
Practical Statistics for Research in Machine Translation and Translation Studies (Toral, MTSummit 2019)
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