natural language processing (nlp) 中文意思是什麼
natural language processing (nlp)
解釋
自然語言處理-
Word sense disambiguation ( wsd ) is an important research project in computalitonal linguistics and natural language processing ( nlp ), and is also one of hot spot research problems in nlp in recent years
詞義消歧( wordsensedisambiguation , wsd )是計算語言學和自然語言處理領域一個重要的研究課題,也是近些年來該領域的熱點研究問題之一。 -
The massive re - awakening, in the past decade, of interest in empirical and statistical methods of linguistic analysis has already produced a major trend in contemporary natural language processing ( nlp ), and corpora have been complied by linguists for about half a century
本書其他論文將重點放在電腦科學問題上。在過去的十年,經驗和統計方法在語言分析方面的應用得到了廣泛的關注,並且已經成為當代自然語言信息處理的主要方法。 -
Nlp, natural language processing, is a cross - fields science
自然語言的計算機處理是一個多學科交叉研究領域。 -
Nlp natural language processing
自然語言處理 -
Question - answering is a hot research field in natural language processing, which includes many kinds of nlp technology
摘要自動問答技術是自然語言處理領域中一個非常熱門的研究方向,它綜合運用了各種自然語言處理技術。 -
Literary language processing deserves its due attention in the current research atmosphere of natural language processing ( nlp )
摘要在當前自然語言處理的研究狀況下,文學語言處理應當受到足夠的重視。 -
As an important branch of natural language processing ( nlp ) in computer, the research of machine translation has significant social and economic values
機器翻譯作為計算機自然語言處理的一個重要分支,其研究具有重大的社會經濟價值。 -
Compare with other domains such as programming language, natural language processing ( nlp ) is more difficult in knowledge acquisition and usage
自然語言處理,相對其它領域,如編程語言,具有特殊的因難,主要表現在知識的獲取與使用上。 -
Many problems of bioinformatics are very similar to those of natural language processing ( nlp ) from the viewpoint of information processing, thus classic methods of nlp can be applied to bioinformatics problems
摘要從信息處理的角度來看,生物信息學與自然語言處理中的許多問題是非常相似的,因此,可以將一些自然語言處理中的經典方法應用到生物信息學文字中。 -
Word segmentation and part - of - speech tagging are bases of natural language processing ( nlp ). the former graduated students have done a great deal of work in this field. in my task i made use of the most of their result, modified their shortcoming and improved their performance
分詞和詞性標注是自然漢語處理( nlp )的基礎,前幾屆師兄已經在這方面做了大量的研究,我所做的課題就是在他們的基礎上對這部分內容進行總結、改進、提高,對后續研究提供更完善的支持。
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