| 1. | Semantic analysis and structured language models
语义分析和结构化语言模型 |
| 2. | Constructing language model by using data mining technique
使用数据挖掘技术建立语言模型 |
| 3. | The learned language model is incorporated into a statistical segmentor
最终的语言模型通过多次迭代而得到。 |
| 4. | Language model additions
增加语言模型 |
| 5. | In this section , i ll review the aop join point model and the language mechanisms that leverage it
在这一节中，将回顾aop的连接点模型以及利用连接点模型的语言模型。 |
| 6. | 13 callan j p , connell m e , du a . automatic discovery of language models for text databases
改进tfw - idfw权值计算方法，并采用简单的平均函数持续改进候选网络语言模型。 |
| 7. | In the source - channel approach , the translation probability is expressed as a language model and a translation model
基于信源通道的方法将翻译概率表示为一个语言模型和一个翻译模型。 |
| 8. | 18th annual acm sigir conf . research and development in information retrieval sigir 95 , seattle , washington , usa , 1995 , pp . 21 - 28
2提出静态学习训练查询和动态学习历史查询的混合学习策略，构建候选网络语言模型。 |
| 9. | According to markov language model , use this probabilistic relationship between the chinese characters into chinese character post - processing
根据markov语言模型，将同现概率这种文本上下文相关信息应用到汉字识别后处理中。 |
| 10. | One of research topics focus on language model for document retrieval and comparison with classic vsm on a chinese test - set
本文研究重点之一是研究slm - based语言模型中ponte 、 glm模型在中文检索测试集上的表现,并与经典的vsm对比。 |
