Automated Translation
Tilde is at the forefront of research and innovation in neural, statistical, and hybrid machine translation. In research community Tilde is recognized by its expertise for the technologies and solutions in the field of automated translation for complex less resourced languages. Cutting-edge research results allowed Tilde to release the world’s first neural machine translation systems for smaller languages.
Internationally acknowledged research for under resourced languages
Tilde’s research in automated translation has been internationally acknowledged, particularly research for translation into morphological rich under resourced languages.
- Development of machine translation (MT) solution for smaller morphologically rich and highly inflected languages is more complex due to relatively free word order and richness of surface forms. Many of these languages have also limited resources (parallel and monolingual corpora) that further complicates the development process. This complex set of characteristics for morphologically rich languages requires to research for these languages specially designed methods that can minimise the negative effect of the above mentioned characteristics on the MT system quality.
- As research on neural machine translation (MT) research has been mainly focussed on widely used languages Tilde’s researchers aim to research and develop methods and algorithms for successful NN integration in MT solutions and methods for end-to-end neural machine translation system development in a context of complex less resourced languages.