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 5: Trying different values for interpolate (on dev dataset). BLEU (in %) is for the full training dataset.
['[ITALIC] α', '0.3', '0.4', '0.5', '0.6', '0.7']
For interpolation-based methods, we need to choose a value for the interpolation parameters. Due to time constraints, we use the same value for the phrase translation probabilities and for the lexicalized probabilities, and we perform grid search for α∈{0.3,0.4,0.5,0.6,0.7} using interpolate on the full training dataset.