Task: Question Answering
Input (English): In this paper, we propose an improved RNN-T model with language bias to alleviate the problem. The model is trained to predict language IDs as well as the subwords. To ensure the model can learn CS information, we add language IDs in the CS point of transcription, as illustrated in Fig. 1. 
 Question: How do they obtain language identities?
Output (English): model is trained to predict language IDs as well as the subwords we add language IDs in the CS point of transcriptio