“Approaches to convert RNNLM to BNLM”版本间的差异
来自cslt Wiki
| 第1行： | 第1行： | ||
=main paper= | =main paper= | ||
comparing approaches to convert recurrent neural networks into backoff language models for efficient decoding[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/31/IS140337.pdf] | comparing approaches to convert recurrent neural networks into backoff language models for efficient decoding[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/31/IS140337.pdf] | ||
| + | =related paper= | ||
| + | * VARIATIONAL APPROXIMATION OF LONG-SPAN LANGUAGE MODELS FOR LVCSR[http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5947612&tag=1] | ||
2014年11月2日 (日) 07:17的版本
main paper
comparing approaches to convert recurrent neural networks into backoff language models for efficient decoding[1]
- VARIATIONAL APPROXIMATION OF LONG-SPAN LANGUAGE MODELS FOR LVCSR[2]
