In bilingual classification, we represent a sample with bilingual features, which makes it possible to train with the data from two languages.
to achieve this goal, we employ a single feature augmentation strategy to augment the monolingual features into bilingual features, i.e., a sample x is represented as follows:  Where the tokens with the 'c'/'e' subscript mean the features generated from the Chinese/English text.