Tutorial on Practical Statistics for Research in Machine Translation and Translation Studies
Antonio Toral (University of Groningen)
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.
This tutorial is relevant for researchers and students who would like to get a hands on approach, but is also open for those who would like to get a general idea on the topic.
It will take place on Wednesday, November 20, in the conference room of building C7.4 from 9:15 to 17:30.
A few places are still available! If you would like to participate, please send an email to email@example.com by Tuesday, November 19, noon.