Word analogy test results show that word representations trained with pre-trained Chinese n-grams perform better than those trained without (SISG(cjhr)), supporting our claim that our approach is able to transfer relevant knowledge from the Chinese language for detecting analogical relationships.
for the word similarity test, word vectors trained without Chinese embeddings perform better, suggesting that there are some trade-offs.