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natural language processing (nlp)中文是什么意思

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  • 自然语言处理

例句与用法

  • Literary language processing deserves its due attention in the current research atmosphere of natural language processing ( nlp )
    摘要在当前自然语言处理的研究状况下,文学语言处理应当受到足够的重视。
  • As an important branch of natural language processing ( nlp ) in computer , the research of machine translation has significant social and economic values
    机器翻译作为计算机自然语言处理的一个重要分支,其研究具有重大的社会经济价值。
  • Compare with other domains such as programming language , natural language processing ( nlp ) is more difficult in knowledge acquisition and usage
    自然语言处理,相对其它领域,如编程语言,具有特殊的因难,主要表现在知识的获取与使用上。
  • 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
    词义消歧( wordsensedisambiguation , wsd )是计算语言学和自然语言处理领域一个重要的研究课题,也是近些年来该领域的热点研究问题之一。
  • 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
    摘要从信息处理的角度来看,生物信息学与自然语言处理中的许多问题是非常相似的,因此,可以将一些自然语言处理中的经典方法应用到生物信息学文字中。
  • To advance i : he precision of ir system and make users more satisfied with the results , researchers have merged relevant technologies and theories based on current natural language process ( nlp ) and ir to implement the goal
    为了检索系统的精度和用户对系统的满意度,研究者开始考虑如何在现有的自然语言处理和文本处理的理论下,综合使用各种相关理论和技术来更好的满足用户需求。
  • 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
    本书其他论文将重点放在电脑科学问题上。在过去的十年,经验和统计方法在语言分析方面的应用得到了广泛的关注,并且已经成为当代自然语言信息处理的主要方法。
  • 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
    分词和词性标注是自然汉语处理( nlp )的基础,前几届师兄已经在这方面做了大量的研究,我所做的课题就是在他们的基础上对这部分内容进行总结、改进、提高,对后续研究提供更完善的支持。
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