Context-Dependent Translation Selection Using Convolutional Neural Network
Table 2: Comparison of the monolingual word embeddings (Monolingual) and the bilingual word embeddings (Bilingual) in terms of translation quality.
['Models', 'Monolingual MT04', 'Monolingual MT05', 'Monolingual All', 'Bilingual MT04', 'Bilingual MT05', 'Bilingual All']
As seen, our bilingual word embedding model outperforms its monolingual counterpart consistently. \nameciteZou:2013: EMNLP and \nameciteWu:2014: EMNLP reported that word-level semantic relationships across languages, captured by the bilingual word embeddings, boost machine translation performance. Our results reconfirm these findings.