7

cascaded S2ST system as a baseline. For its MT module, we used a nearest neighbor MT system
similar to the one used in Lample et al. [2018b]; after extracting embedding for each word in a source
sentence, we computed the similarity score for each embedding in the target language by the dot
product between embeddings of the source word and those in the target language then picked up the
word in the target language with the highest similarity score. The baseline used a simple technique to
translate text between languages, yet it is enough for conveying the general meaning of the translated
sentences.

5.1 Metrics
Translatotron3