Chen, Yu; Avgustinova, Tania

Machine Translation from an Intercomprehension Perspective

Proc. Fourth Conference on Machine Translation (WMT), Volume 3: Shared Task Papers, pp. 192-196, Florence, Italy, 2019.

Within the first shared task on machine translation between similar languages, we present our first attempts on Czech to Polish machine translation from an intercomprehension perspective. We propose methods based on the mutual intelligibility of the two languages, taking advantage of their orthographic and phonological similarity, in the hope to improve over our baselines. The translation results are evaluated using BLEU. On this metric, none of our proposals could outperform the baselines on the final test set. The current setups are rather preliminary, and there are several potential improvements we can try in the future.