Practical Statistics for Research in Machine Translation and Translation Studies
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:
- 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)