Utilizing Lexical Similarity between Related, Low-resource Languages for Pivot-based SMT
Table 6: Cross domain translation (BLEU)
['[BOLD] Lang Triple', '[BOLD] Pivot  [BOLD] Morph', '[BOLD] Pivot  [BOLD] OS', '[BOLD] Pivot  [BOLD] BPE', '[BOLD] Direct  [BOLD] Morph', '[BOLD] Direct  [BOLD] OS', '[BOLD] Direct  [BOLD] BPE']
For cross-domain translation too, the subword-level pivot models outperform morpheme-level pivot models and are comparable to a direct morpheme-level model. The OS and BPE-level models systems experience much lesser drop in BLEU scores vis-a-vis direct models, in contrast to the morpheme-level models. Since morpheme-level pivot models encounter unknown vocabulary in a new domain, they are less resistant to domain change than subword-level models.