Normalized Log-Linear Interpolation of Backoff Language Models is Efficient

Kenneth Heafield, Chase Geigle, Sean Massung, Lane Schwartz. Normalized Log-Linear Interpolation of Backoff Language Models is Efficient. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7-12, 2016, Berlin, Germany, Volume 1: Long Papers. The Association for Computer Linguistics, 2016. [doi]

@inproceedings{HeafieldGMS16,
  title = {Normalized Log-Linear Interpolation of Backoff Language Models is Efficient},
  author = {Kenneth Heafield and Chase Geigle and Sean Massung and Lane Schwartz},
  year = {2016},
  url = {http://aclweb.org/anthology/P/P16/P16-1083.pdf},
  researchr = {https://researchr.org/publication/HeafieldGMS16},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7-12, 2016, Berlin, Germany, Volume 1: Long Papers},
  publisher = {The Association for Computer Linguistics},
  isbn = {978-1-945626-00-5},
}