instruction:
In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
question:
In this work, we develop a technique to rapidly transfer an existing pre-trained model from English to other languages in an energy efficient way BIBREF8.
Question: How much training data from the non-English language is used by the system?
answer:
No data. Pretrained model is used.

question:
The test-set accuracies obtained by different learning methods, including the current state-of-the-art results, are presented in Table TABREF11 .
Question: what models did they compare to?
answer:
High-order CNN, Tree-LSTM, DRNN, DCNN, CNN-MC, NBoW and SVM

question:
Besides the Baseline and Oracle, where only ASR 1-best hypothesis is considered, we also perform experiments to utilize ASR $n$-best hypotheses during evaluation.
Question: What are the series of simple models?
answer:
perform experiments to utilize ASR $n$-best hypotheses during evaluation