Training of neural machine translation model to apply terminology constraints for language with robust inflection
Jakub Konieczny · Annals of Computer Science and Information Systems · 2021
The goal of this study is to explore the transformer's capability of domain translation into a morphologically rich language.Satisfactory translation into Polish requires inflection by tense, number, and person, taking into account six declination cases.The ideal outcome of this study would be to prove that the method proposed by Dinu is capable of training the transformer to translate English to Polish in domain-specific scenarios.Achieving metrics similar to Nowakowski would result in a "zero-shot" translator with a considerably higher translation speed Preproceedings of the Federated Conference on Computer Science and Information Systems pp.