Using different sources of rich linguistic information will help speech recognition if the phenomena they capture are prevalent and they involve instances where ...

1998. Beyond N -Grams: Can Linguistic Sophistication Improve Language Modeling?. In 36th Annual Meeting of the Association for Computational Linguistics and ...

This paper addresses the question of whether there is hope in improving language modeling by incorporating more sophisticated linguistic and world knowledge ...

In this paper we address the question of whether there is hope in improving language modeling by incorporating more sophisticated linguistic and world knowledge ...

This research depends on the prevalence of jargon and domain-specific language. Linguistically motivated language models were investigated for two consecutive.

In this paper we address the question of whether there is hope in improving language modeling by incorporating more sophisticated linguistic and world knowledge ...

In this paper we address the question of whether there is hope in improving language modeling by incorporating more sophisticated linguistic and world knowledge ...

Eric Brill, Radu Florian, John C. Henderson, Lidia Mangu: Beyond N-Grams: Can Linguistic Sophistication Improve Language Modeling? COLING-ACL 1998: 186-190.

Beyond N-Grams: Can Linguistic Sophistication Improve Language Modeling? E. Brill, R. Florian, J. Henderson, and L. Mangu. COLING-ACL, page 186-190.

Beyond N -Grams: Can Linguistic Sophistication Improve Language Modeling? Eric Brill | Radu Florian | John C. Henderson | Lidia Mangu | ...