Combining Statistical Language Models via the Latent Maximum Entropy Principle.
We present a unified probabilistic framework for statistical language modeling which can simultaneously incorporate various aspects of natural language, such as local word interaction, syntactic structure and semantic document information. Our approach is based on a recent statistical inference prin...
| 发表在: | Machine learning. 60, 1-3 (2005). |
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| 格式: | 文件 |
| 语言: | English |
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