A Survey on Neural Network Language Models

Abstract: As the core component of NLP system, LLM (LM) can provide word representation and probability indication of word sequences. Neural Network LLMs (NNLMs) overcome the curse of dimensionality and improve the performance of traditional LMs. A survey on NNLMs is performed in this paper. The structure of classic NNLMs is described firstly, and then some major improvements are introduced and analyzed. We summarize and compare corpora and toolkits of NNLMs. Further, some research directions of NNLMs are discussed.