Dual Language Models for Code Switched Speech Recognition
Table 3: Kneser-Ney smoothed bigram dev/test set perplexities using varying amounts of training data
['Training data', 'Dev mixed LM', 'Dev DLM', 'Test mixed LM', 'Test DLM']
As we reduce the training data, the improvements in perplexity of DLM over mixed LM further increase, which validates our hypothesis that DLMs are capable of generalizing better. Section 5 elaborates this point further.