Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding
Table 3: QVEC and QVEC-CCA scores. W: word alignment. N: neighbor based clustering and alignment. Ch: character based clustering and alignment. L: linguistic property based clustering and alignment.
['[EMPTY]', '[EMPTY]', '3 Languages Monolingual', '3 Languages Monolingual', '3 Languages Multilingual', '3 Languages Multilingual', '12 Languages Monolingual', '12 Languages Monolingual', '12 Languages Multilingual', '12 Languages Multilingual']
Specifically, by augmenting word representation with neighboring words in the common semantic space as in Eq. In addition, by aligning character-level compositional representations and linguistic property based clusters in the shared semantic space, the multilingual representation quality is further improved.