Which of the following statements is true of language models?
A)Neural window-based models share weights across the window
B)Neural window-based language models suffer from the sparsity problem, but n-gram language models do not
C)The number of parameters in an RNN language model grows with the number of time step
D)Neural window-based models can be parallelized, but RNN language models cannot
Answer:D
Which of the following statements is true of language models?
A)Neural window-based models share weights across the window B)Neural window-based language models suffer from the sparsity problem, but n-gram language models do not C)The number of parameters in an RNN language model grows with the number of time step D)Neural window-based models can be parallelized, but RNN language models cannot