| 1. | Example - based chinese syntactic structure disambiguation
基于实例的汉语句法结构分析歧义消解 |
| 2. | Example - based machine translation
以例句为本的机器翻译 |
| 3. | Then the main algorithm for the method of example - based disambiguation is proposed with detail
然后详细地描述了基于实例的排歧法的主要算法。 |
| 4. | This paper presents a description of the method of example - based chinese syntactic structure disambiguation method
摘要本文论述了一种基于实例的汉语句法结构分析的消歧方法。 |
| 5. | A lot of this article is example - based : you are encouraged to experiment with and create your own doap descriptions as you read
本文中包含大量的例子，建议在阅读的过程中练习创建自己的doap描述。 |
| 6. | In addition , some of these approaches utilize example - based learning techniques , such as neural networks ( nn ) and radical basis function networks
在分析传统的识别方法基础上，重点讨论了智能人脸识别方法。 |
| 7. | The example - based machine translation ( ebmt ) system can be developed in a short period with relatively better translation result for a given domain
基于实例的机器翻译方法具有系统实现周期短,容易对新的知识进行扩充,在限定领域下可以生成高质量的译文的优点。 |
| 8. | The example - based machine translation ( ebmt ) is an empirical approach , which avoids complicated deep - level linguistic and semantic analyses , and provides a new way for machine translation
基于实例的机器翻译( ebmt )作为一种经验主义的方法,避免了复杂的深层次语法和语义分析,为机器翻译的发展指出了一条新路。 |
| 9. | In order to extract linguistic knowledge from parallel corpus , it is necessary to align them first . the alignment is also a necessary phrase in the construction of the example - based machine translation ( ebmt )
平行语料的对齐不仅是通过平行语料库获取一些语言知识的必要前提,也是基于实例的机器翻译中实例库构建不可缺少的关键环节。 |
