Example - based machine translation 以例句為本的機(jī)器翻譯
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(shí)例的機(jī)器翻譯方法具有系統(tǒng)實(shí)現(xiàn)周期短,容易對(duì)新的知識(shí)進(jìn)行擴(kuò)充,在限定領(lǐng)域下可以生成高質(zhì)量的譯文的優(yōu)點(diǎn)。
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(shí)例的機(jī)器翻譯( ebmt )作為一種經(jīng)驗(yàn)主義的方法,避免了復(fù)雜的深層次語(yǔ)法和語(yǔ)義分析,為機(jī)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(yǔ)料的對(duì)齊不僅是通過平行語(yǔ)料庫(kù)獲取一些語(yǔ)言知識(shí)的必要前提,也是基于實(shí)例的機(jī)器翻譯中實(shí)例庫(kù)構(gòu)建不可缺少的關(guān)鍵環(huán)節(jié)。
百科解釋
Example-based machine translation (EBMT) is a method of machine translation often characterized by its use of a bilingual corpus with parallel texts as its main knowledge base, at run-time. It is essentially a translation by analogy and can be viewed as an implementation of case-based reasoning approach of machine learning.