词的搭配
- 与 词的搭配 相关的网络例句 [注:此内容来源于网络,仅供参考]
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As a professor-like grammarian, my job today is to comment on the use of English in your speech and to provide examples of good grammar and word usage.
作为一个貌似教授的"语法官",我今天的任务就是评价你在演讲中所使用的英语,同时提供一些例句,解释一些地道的语法和用词搭配。
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There are some mistakes in edition, such as misuse of words or expressions, mismatches, element misses or redundancies, illogic, misunderstanding of knowledge, misuse of punctuations, or other mistakes by careless edition.
新闻媒体编校质量方面的问题,有的是字词使用方面的差错,有的是搭配不当、成分残缺或重复多余,有的是逻辑混乱,有的是知识性的错误,有的是标点符号方面的差错,还有的是由于校对不细致而产生的差错。
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Is precisely these minor term figurative meaning is most widespread, matching ability is strongest, the expressive force is richest, moreover is also precisely these minor terms in the language development perpetual flow, unceasingly and other word union for the new phrase, the expression is day by day complex, day by day the fashionable new concept.
正是这些小词转义最为广泛,搭配能力最强,表现力最丰富,而且也正是这些小词在语言发展的长河中,不断地与其他词结合为新的词组,表达日益复杂、日益时髦的新概念。
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In this paper, character trigram is used for analyzing the part of sentence and detecting local errors. Then dependency grammar is introduced into automatic proofreading. Dependency relationship analysis parses the whole sentence and denotes dominating and dominated relation among the words, so it is helpful to detect collocation errors with long distance, efficiently filling up the deficiency of n-gram.
本文使用字的三元模型对文本进行局部的分析与错误查找,同时将依存文法分析应用于自动校对中,由于依存文法对句子进行全局分析,指出了句子中词与词之间的依存关系,所以能够有效的查找出文本中的远距离搭配错误,补充了n元语法的不足。
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Firstly, this study adopts a corpus-oriented usage-based approach to the distribution and productivity of V-kai resultative verbs, applying the quantitative techniques of both collocational and frequency analysis.
首先,本研究在语料库导向的使用基础模型(usage-based approach)架构下,运用字词搭配以及频率分析的量化方法,探讨「V-开」结果动词在语料中的分布以及多产性。
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Moreover, the observation that the verbal collocations within V-kai resultative verbs come in different strengths accords with the experience-driven, probabilistic view of grammatical generalizations.
我们也观察到「V-开」构式内的字词搭配强度不同,此现象与经验趋向、机率性的语法归纳特性相符。
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Thist paper chooses 90 groups of "Tong_su_yi_xu synonymic words" from "Modern Chinese dictionary ", and divides them into three kinds according to the interpretation method in the dictionary, regards web page of Sohu website as the platform, us.es the search engine to carry on the search of the word , count the frequency that every group"s word appears , and rejects artificially the mistakes appearing in all web pages that can be opened, language fact presented in observation post then carefully (namely the example sentence with this word appearing in the webpage), and find that the 90 groups of "Tong_su__yi_xu synonymic words" except that the meaning of a word is the same, have quite a few of at frequency of utilization and concrete usage for difference: Because people"s use habit and word use the difference on to cause the appearance frequency of the word analogous to or with a wide gap, because of word-building ability, the word collocates, the word overlaps or the language usually overlaps, linguistic context of area and times , the meaning of a word that the word appears are abstract and concrete, semanteme is laid particular emphasis on, the morphological feature-change, etc.
本文从《现代汉语词典》中选取90组同素异序同义词,按词典中的释义方法将其分成三类,以搜狐网站的网页为平台,运用搜索引擎进行词语的搜索,统计下每组词语出现的频率,并将所有能打开的网页中出现的错误进行人工干预,然后仔细观察所出现的语言事实(即网页中出现的含有该词语的例句),发现这90组同素异序同义词除了词义相同之外,有相当一部分在使用频率和具体的用法上还存在着差别:由于人们的使用习惯和词语使用上的差异造成词语的出现频率相当或者相差悬殊,又因为构词能力、词语搭配、词语重叠或语素重叠、词语出现的区域和年代语境、词义抽象与具体、语义侧重、词性变化等方面的差异造成词语使用上的区别。
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He was a tallish American in a light brown suit and a pink tie.
他是个高个子美国人,穿着浅棕色的西装,扎着粉色的领带。suit可以和其他词搭配使用,构成合成词
- 推荐网络例句
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This one mode pays close attention to network credence foundation of the businessman very much.
这一模式非常关注商人的网络信用基础。
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Cell morphology of bacterial ghost of Pasteurella multocida was observed by scanning electron microscopy and inactivation ratio was estimated by CFU analysi.
扫描电镜观察多杀性巴氏杆菌细菌幽灵和菌落形成单位评价遗传灭活率。
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There is no differences of cell proliferation vitality between labeled and unlabeled NSCs.
双标记神经干细胞的增殖、分化活力与未标记神经干细胞相比无改变。