Statistical Machine Translation Features with Multitask Tensor Networks
Table 1: MT results of various model combination in BLEU and in TER.
['System', 'AR-EN BL', 'AR-EN TER', 'ZH-EN BL', 'ZH-EN TER']
5.2.1 Effects of New Features We first look at the effects of the proposed features compared to the baseline system. We show the experimental results related to hypothesis-enumerating features (HypEn) in rows S2-S5, those related to source-enumerating features (SrcEn) in rows S6-S9, and the combination of the two in row S10. For all the features, we set the source context length to m=5 (11-word window). For JM and JMO, we set the target context length to n=4. For the offset parameter k of JMO, we use values 1 to 3. For TCM, we model one word around the translation (d=1). Larger values of d did not result in further gains.