我们必须大量使用基本词汇,不受句号、修饰性形容词或限定动词的限制。
We must pour out a large stream of essential words, unhampered by stops, or qualifying adjectives, or finite verbs.
我们必须大量使用基本词汇,摆脱句号,修饰性形容词及限定动词的约束。
We must pour out a large stream of essential words, unhampered by stops, or qualifying adjectives, of finite verbs.
我们必须大量使用基本词汇,摆脱句号,修饰性形容词及限定动词的羁 绊。
(00-03) We must pour out a large stream of essential words, unhampered by stops, or qualifying adjectives, or finite verbs.
首先是在分词词典方面,将以往单一的词典分为基本词典和特征词词典两个部分。
Improvement has been made in the following two parts: the first one is segmentation dictionary, which divides the singular one into the basic one and the characteristic word one.
传承性法律词(素)是法律词汇系统中的基本词汇,有较强的稳固性、能产性和传承性。
The traditional legal-words(affix) are basic lexical words in the legal term system, which are stabile, productive and inherited.
所有这些二词一组的同源词说明了,北京话的基本词汇层并非只有一层。最后一句搞不清啦,意译了,呵呵。
All these etymological doublets indicate that the Peking dialect is comprised of a basic native word stock overlaid with one or more strata of extraneous material.
结构主义所认为的语言符号的任意性是指词形和词义之间的关系,多义词的基本词义与其他延伸意义间存在一定联系。
The arbitrariness claimed by structuralism exists between word form and word meaning, while the relationship between the original and extended meanings of a polysemous word is motivated.
本文提出一种基于词联接的软分词技术,其知识库包括基本词集、复合词集、词联接集三层结构,可以进行词联接类比推理。
This paper, therefore, proposes a soft segmentation technique based on term connections, the repository of which includes threes.
现代汉语基元词处于现代汉语词汇的底层,具有共时性、基础性、元素性、典型性等特点,与基本词、常用词虽有联系但不相同。
The primary words of Modern Chinese are in the bottom of the vocabulary of Modern Chinese with the characteristics such as synchronic, basic, elemental and typical.
Tellefsen 称“NetBase并不使用关键词或者基本词语对数以亿计的文档进行搜索,相反NetBase实际上能够阅读并提取整个句子和概念中的语义。”
Says Tellefsen, "Rather than using keywords or basic entities to search through billions of documents, NetBase can actually read and extract linguistic meaning from entire sentences and concepts."
Tellefsen 称“NetBase并不使用关键词或者基本词语对数以亿计的文档进行搜索,相反NetBase实际上能够阅读并提取整个句子和概念中的语义。”
Says Tellefsen, "Rather than using keywords or basic entities to search through billions of documents, NetBase can actually read and extract linguistic meaning from entire sentences and concepts."
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