example-based造句
例句與造句
- Example - based chinese syntactic structure disambiguation
基于實例的漢語句法結(jié)構分析歧義消解 - Example - based machine translation
以例句為本的機器翻譯 - Then the main algorithm for the method of example - based disambiguation is proposed with detail
然后詳細地描述了基于實例的排歧法的主要算法。 - This paper presents a description of the method of example - based chinese syntactic structure disambiguation method
摘要本文論述了一種基于實例的漢語句法結(jié)構分析的消歧方法。 - 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，建議在閱讀的過程中練習創(chuàng)建自己的doap描述。 - It's difficult to find example-based in a sentence. 用example-based造句挺難的
- In addition , some of these approaches utilize example - based learning techniques , such as neural networks ( nn ) and radical basis function networks
在分析傳統(tǒng)的識別方法基礎上，重點討論了智能人臉識別方法。 - The example - based machine translation ( ebmt ) system can be developed in a short period with relatively better translation result for a given domain
基于實例的機器翻譯方法具有系統(tǒng)實現(xiàn)周期短,容易對新的知識進行擴充,在限定領域下可以生成高質(zhì)量的譯文的優(yōu)點。 - 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
基于實例的機器翻譯( ebmt )作為一種經(jīng)驗主義的方法,避免了復雜的深層次語法和語義分析,為機器翻譯的發(fā)展指出了一條新路。 - 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 )
平行語料的對齊不僅是通過平行語料庫獲取一些語言知識的必要前提,也是基于實例的機器翻譯中實例庫構建不可缺少的關鍵環(huán)節(jié)。