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proper noun中文是什么意思

  • 【语法】专有名词。

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  • 例句与用法
  • Firstly , the issues of recognizing proper nouns are discussed as well as the popular approaches are presented and compared , and according to the analysis , a new approach , namely using rules primarily to recognize proper nouns , is evoked for the purpose . then , after analyzing the main idea and presenting the design , it shows the system design in detail , including defining basis concepts , pre - processing text , collecting proper nouns ’ information , extracting rules and labeling properties . finally , the system realization is divided into two parts and detailed illuminate is presented respectively
    本文首先围绕专有名词识别问题展开讨论,在分析和比较了现有的专有名词识别方案和常用方法后,明确了课题目标;在此基础上,提出了一个以规则为主的专有名词统一识别方法;然后,在提出了课题的设计思想,对课题的设计方法进行了一个整体的概括介绍后,进行了详细的系统设计说明,主要包括:基本概念的定义、文本预处理、专有名词特征信息集的建立、规则的提取和属性标注等五个方面。
  • Named entity recognition ( ner ) technologies have become a hot problem of natural language process recently . the definition of named entity by muc ( message understanding conference ) is the proper nouns and the quantifiers that people are interested in . ner can be classified to person - name , location , organization , date , number and so on . ner has been applied on many compute linguistics tasts as a subtask of information extraction , such as machine translation
    命名实体识别是目前自然语言处理研究的热点问题。 muc ( messageunderstandingconferences )对命名实体的定义是:人们感兴趣的专有名词和特定的数量词,它一般可分为:人名、地名、组织机构名、日期等类型。
  • Disambiguity and recognition of unknown words are most important points for design of word segmentation systems . in this paper , firstly , we introduce an applied strategy to disambiguity . then we put forward an integrated and fast recognition strategy of proper noun , including chinese person names , chinese place names , translated foreign names and corporation & organization names , in modern chinese word segmentation system , which successfully resolves the conflict among these proper nouns and ordinary words
    本文首先阐述了现代汉语通用分词系统( gpws )中歧义切分技术和专名识别技术,在歧义切分技术中,提出了一种切分规则库与基于歧义知识库动态校正相结合的实用歧义处理策略;在专名识别技术中,本文提出了一种专名(包括译名在内的人名、地名、企业字号、企业名和机构名等)一体化、快速识别方法。
  • If the term extraction transformation is configured to extract only noun phrases , words that are tagged as nouns , proper nouns , adjectives , and numbers may be combined to make a noun phrase , but the phrase must include at least one word that is tagged as a singular or plural form of a noun or a proper noun
    如果将字词提取转换配置为仅提取名词短语,那么标记为名词、专有名词、形容词和数词的单词可以组合成名词短语,但该短语必须包含至少一个标记为单数或复数形式的名词或者专有名词的单词。
  • This thesis proposes a novely approach to recognize proper nouns and the recognition system is realized based on the approach . the system is tested on several groups of data , and the results show that the performance is satisfactory , and the open test results also show that the system ’ s capability of recognizing proper nouns is of great
    文章提出了一个识别专有名词的方案,并且根据此方案实现了一个识别系统,同时进行了多项数据试验,对专有名词的识别研究具有一定的参考价值;开放测试的结果也表明,该系统的专有名词识别能力也达到了较好的实用水平。
  • After that , it discusses the proper nouns recognition algorithms designed for our proper nouns recognition system in detail : dividing all proper nouns into two categories , one category is named stable proper nouns , which contains the proper nouns that will exist in a long term and a wide spread ; and the other category is called unstable proper nouns , proper nouns in this category often derives new proper nouns frequently and can not be formed following particular rules , the mainly proper nouns in this category are chinese names
    接着本文详细讨论了专有名词识别系统所使用的识别算法:首先将专有名词分成了两类:一类是稳定的专有名词,此类名词具有长时间和较大范围存在的特点。另一类是容易变化的专有名词,这类名词新词出现速度快,并且没有明显的规律可循,这类名词主要就是中国人名。
  • 更多例句:  1  2  3  4
  • 英文解释
  • a noun that denotes a particular thing; usually capitalized
    同义词:proper name,

  • 百科解释
A proper noun is a noun that in its primary application refers to a unique entity, such as London, Jupiter, Sarah, or Microsoft, as distinguished from a common noun, which usually refers to a class of entities (cities, planets, persons, corporations), or non-unique instances of a certain class (a city, another planet, these persons, our corporation).Lester and Beason (2005), p.
详细百科解释
  • 其他语种释义
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