Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation
Table 2: Left Side: Test-wise results for ”Small” models in Figure 4, Right Side: Test-wise results for ”Large” models in Figure 4
['Pair ar-en', 'Agent WUE', 'test12 30.16', 'test13 28.16', 'test14 25.53', 'Agent WUE', 'test12 32.84', 'test13 32.23', 'test14 28.95']
Here, we present the test-wise results for the interested reader. Missing table values correspond to unavailable test-sets on the IWSLT webpage. we note that even though the WIW agent’s performance is not significantly below our selected STATIC-RW agent, its AP is much higher. When we allow our STATIC-RW agent an AP similar to that of the WIW agent, we are able to restore the BLEU loss to be less than 1.5 for all language pairs except German-English. Here are the results in detail.