The GoLD (Generalising Over Language Data) MEDAL Research project serves three primary purposes:

  1. to offer early career researchers and other research staff an opportunity to apply their newly acquired skills and knowledge;
  2. to establish research collaboration between all four partners, leading to joint academic output and visibility for all partners;
  3. to derive high-quality, large-scale research results on a broad sample of languages, thereby contributing to a more representative and inclusive language research landscape in Europe. The research will be cross-linguistic (at least two language families and three modalities – written, spoken and signed), multimethod, and interdisciplinary.

The first phase of the study (Year 1) will involve intensive discussion and collaboration among the partners, together with students, leading to a parallel corpus investigation, in line with the first year’s training school in corpus methodology, including cross-linguistic and multimodal corpus data available to network members, to generate hypotheses based on disparate language data. Subsequently (Year 2), the research team will model the data and design an experiment to test the model across the languages aligned with the training school in experimental methods. The final research phase (Year 3), in step with the final training school, will involve testing computational models against experimental results, and feeding this back, full circle, into the corpus data.