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%0 Conference Proceedings
%T Normalized Log-Linear Interpolation of Backoff Language Models is Efficient
%A Heafield, Kenneth
%A Geigle, Chase
%A Massung, Sean
%A Schwartz, Lane
%Y Erk, Katrin
%Y Smith, Noah A.
%S Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2016
%8 August
%I Association for Computational Linguistics
%C Berlin, Germany
%F heafield-etal-2016-normalized
%R 10.18653/v1/P16-1083
%U https://aclanthology.org/P16-1083
%U https://doi.org/10.18653/v1/P16-1083
%P 876-886

Markdown (Informal)

[Normalized Log-Linear Interpolation of Backoff Language Models is Efficient](https://aclanthology.org/P16-1083) (Heafield et al., ACL 2016)

• Normalized Log-Linear Interpolation of Backoff Language Models is Efficient (Heafield et al., ACL 2016)

ACL

• Kenneth Heafield, Chase Geigle, Sean Massung, and Lane Schwartz. 2016. Normalized Log-Linear Interpolation of Backoff Language Models is Efficient. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 876–886, Berlin, Germany. Association for Computational Linguistics.