Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax
Table 2: P@1 (%) on the UN corpus from forward search and backward search. Forward search treats English as source and the other language as target. Backward is vice versa.
['[EMPTY]', 'en-fr', 'en-es', 'en-ru', 'en-zh']
Interestingly, the P@1 from the backward search is higher for all four language pairs. This suggests the embedded sentence representations achieve better discrimination over sentences with related but not identical meanings for English than for other languages.