×

中心词 meaning in English

head word
head/headword

Examples

  1. He who can ' t swim should stay in water less than chest deep
    因为,既然不会游泳,那就不能叫做游泳的人。否则,中心词与修饰语在逻辑上冲突。
  2. It is ineffective while handling indefinite things , for deviation may appear while estimating key words
    中心词进行模糊测度处理时,会产生较大的偏差。
  3. Keith has written thousands of articles about call centers , crm , customer service and telemarketing , as well as definitive books on call centers : the call center handbook , the call center dictionary ( with madeline bodin ) and call center savvy
    另外,还著有有关呼叫中心的书籍: 《呼叫中心手册》 、 《呼叫中心词典》以及《呼叫中心实用技能》等。
  4. By an analysis of the structure , grammatical functions of english noun phrases and a probe into the definition and classification of the determiner , this article makes a further approach to the absolute necessity of the central determiner in english noun phrases while the pre - determiner and post - determiner are optional
    摘要通过讨论英语名词词组的结构和语法功能以及限定词的界定和分类,提出并论证中位限定词是名词词组中不可或缺的观点,同时指出前位限定词和后位限定词与名词中心词虽有结构上的联系,但却是可有可无的。
  5. Firstly , for the errors of text ’ character and word , utilizing neighborship of character or word , check character and word errors by character string co - occurrence probability . secondly , for the errors of syntax of text , according to statistic and analysis of a large - scale contemporary chinese corpus , recognize the predicate focus word and the others sentence ingredient , check the syntax errors . thirdly , for the errors of text ’ semanteme , establishing semantic dependency relationship tree based on hownet knowledge , presents a method that based on semantic dependency relationship analysis to compute sentence similarity , check the semantic errors
    对于文本字词错误的检查,本文主要利用了字词二元接续关系,根据同现概率检查文本字词错误;对于文本语法错误的检查,本文利用教研室已有的一个大规模语料库,通过对语料库进行统计分析,获得语法查错所需要的语言规律和知识,利用谓语中心词识别和其他句子成分识别的方法,检查文本语法结构上的错误;对于文本语义错误的检查,本文主要利用知网知识得到语义依存树,通过对句子的有效搭配对的相似度计算检查语义错误。

Related Words

  1. 中心词参量
  2. 中心词理论
  3. 中心词驱动短语结构语法
  4. 同义词中组中的中心词
  5. 中心锤
  6. 中心椿
  7. 中心词参量
  8. 中心词理论
PC Version

Copyright © 2018 WordTech Co.