In the project, we aim at the development of effective multilingual language encoders (sub-project 1) that find language-agnostic meaning representations through cross-lingual grounding. In sub-project 2, we emphasize intrinsic evaluation and the interpretation of the representations that emerge from our models when training with different kinds of data. Sub-projects 3 and 4 focus on extrinsic evaluation and the application of language representations in down-stream tasks such as machine translation (sub-project 4) and other tasks that require some kind semantic reasoning (sub-project 3). The following picture illustrates the interactions between the various sub-projects.
We strongly believe in open science and our project will produce open tools and resources besides the new scientific results that we will publish in open publications. Below, we link to our resources and publications.