A Hybrid Morpheme-Word Representationfor Machine Translation of Morphologically Rich LanguagesThis research was sponsored in part by CSIDM (grant # 200805) and by a National Research Foundation grant entitled “Interactive Media Search” (grant # R-252-000-325-279).
Table 6: Merging m+phr+lm and w-system (on test dataset). BLEU (in %) is for the full training dataset. Superscripts indicate performance gain/loss w.r.t m-system.
['[EMPTY]', '[BOLD] Merging methods', '[BOLD] Full (714K)']
Evaluation on the test dataset. We integrate the morphologically enhanced system m+phr+lm and the word-token based w-system using the four merging methods above. As we can see, add-1 and add-2 make little difference compared to the m-system baseline. In contrast, interpolation and ourMethod yield sizable absolute improvements of 0.55 and 0.74 BLEU points, respectively, over the m-system; moreover, they outperform the w-system.