Aligning Embedding Spaces Across Languages to Identify Word Level Equivalents in the Context of Concreteness and Emotion
A neural network is used to model a bilingual mapping within an English-Mandarin semantic space and indicates interesting possibilities for using quantitative word-level modeling as a tool to analyze the overlapping impacts of bilingualism, emotionality, and abstraction on each other.
Josephine Kaminaga, Jingyi Wu, Daniel Yeung et al.
· 0 citations