  With more than 7000 languages worldwide, multilingual natural language
processing (NLP) is essential both from an academic and commercial perspective.
Researching typological properties of languages is fundamental for progress in
multilingual NLP. Examples include assessing language similarity for effective
transfer learning, injecting inductive biases into machine learning models or
creating resources such as dictionaries and inflection tables. We provide
ParCourE, an online tool that allows to browse a word-aligned parallel corpus,
covering 1334 languages. We give evidence that this is useful for typological
research. ParCourE can be set up for any parallel corpus and can thus be used
for typological research on other corpora as well as for exploring their
quality and properties.
