Topic adaptation for language modeling using unnormalized exponential models-Reference-Cited by-同舟云学术

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Topic adaptation for language modeling using unnormalized exponential models

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Container-title:Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181)
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Author:

Chen S.F.,Seymore K.,Rosenfeld R.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx4/5518/14874/00675356.pdf?arnumber=675356

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Sparse Plus Low-Rank Exponential Language Model for Limited Resource Scenarios;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2015-03

2. Topic identification techniques applied to dynamic language model adaptation for automatic speech recognition;Expert Systems with Applications;2015-01

3. A multiple classifier approach to detect Chinese character recognition errors;Pattern Recognition;2005-05

4. Statistical language model adaptation: review and perspectives;Speech Communication;2004-01

5. Overcoming the Sparseness Problem of Spoken Language Corpora Using Other Large Corpora of Distinct Characteristics;Computational Linguistics and Intelligent Text Processing;2004

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