@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://preview.aclanthology.org/Ingest-2025-COMPUTEL/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."
}