Discriminative Language Modeling With Linguistic and Statistically Derived Features

  title={Discriminative Language Modeling With Linguistic and Statistically Derived Features},
  author={Ebru Arisoy and Murat Saraclar and Brian Roark and Izhak Shafran},
  journal={IEEE Transactions on Audio, Speech, and Language Processing},
This paper focuses on integrating linguistically motivated and statistically derived information into language modeling. We use discriminative language models (DLMs) as a complementary approach to the conventional n-gram language models to benefit from discriminatively trained parameter estimates for overlapping features. In our DLM approach, relevant information is encoded as features. Feature weights are discriminatively trained using training examples and used to re-rank the N -best… CONTINUE READING
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