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 4: Effect of selection of primary phrase table for add-1 (on dev dataset): PTw→m, derived from a word-token input, vs. PTm, from a morpheme-token input. Shown is BLEU (in %) on T1 and the full training dataset.
['[EMPTY]', '[BOLD] T1 (40K)', '[BOLD] Full (714K)']
For add-1 and add-2, we need to decide which (PTw→m or PTm) phrase table should be considered the primary table. As we can see, using PTw→m as primary performs better on T1 and on the full training dataset; thus, we will use it as primary on the test dataset for add-1 and add-2.