The regions activated by word tags are involved in procedural memory, the kind of memory that controls automatic tasks like riding a bicycle.
与之对应的标签式句子相关联的大脑区域是程序性记忆，这种类型的记忆控制一些自动进行的活动，如骑自行车。
The quotation mark that is produced when you type "on your computer is not a true quotation mark (unless your word processing or page layout program has automatic formatting)."
当你在键盘上键入“号时，你所输入的并非真正意义上的引号(除非你在字处理程序之中进行了自动格式化)。”
You need to preserve all of the white space it contains, and you need to turn off the automatic word wrapping that the XSL-FO engine does.
需要保留它包含的所有空白域，并且需要关闭 XSL-FO引擎执行的自动换行。
The longest established of these is automatic speech recognition (ASR), the technology that converts the spoken word to text.
历史最悠久的语音识别技术（ASR）可以把语音转换成文本。
Automatic word completion using ctrl-x.
单词自动补全-使用Ctrl - x .(翻译文链接)。
Word graphs, phrase graphs are concluded in Knowledge Graph, Word graphs are automatic generate according to Hownet, phrase graphs are combined by Word graphs.
在本文中，知识图中的词图是根据知网中的语义词典自动生成的，短语图是在短语分析过程中由词图合并得来的。
This paper presents an approach to the automatic enrichment of lexicon in a natural language understanding system to simulate man's word learning ability.
提出一种方法，用以实现自然语言理解系统的自动词汇扩展，以模拟人的词汇学习能力。
TJTITR German-Chinese title Translation System is based on automatic recognition of the features of a word and the synthesis of structure patterns of a German title.
本文介绍基于德语单词的词性自动识别和综合德语题录的结构类型的德汉题录机器翻译系统TJTITR。
Automatic word segmentation of modern Chinese text is the base of Chinese information processing. So a general purpose application interface for word segmentation is important.
现代汉语文本自动分词是中文信息处理的重要基石，为此提供一个通用的分词接口是非常重要的。
Most of the previous automatic abstract methods are based on word counting, which misses deep semantic analysis of texts, so the generated abstract is unsatisfying.
传统的自动摘要提取方法基于词频统计提取摘要句，对文本不进行语义分析，导致摘要质量不高。
The paper presented the method of automatic learning about type word stock and the method of erasing duplicated abstract sentences.
其中提出了领域词词库自学习和消除重复摘要句的方法。
Automatic word segmentation for the Chinese language is a fundamental and difficult problem in the field of computer Chinese language information processing.
汉语的自动分词，是计算机中文信息处理领域中一个基础而困难的课题。
Field exactly the same, as long as you are not a person automatic speaking, has enough to worry about the talking object will put the word out.
在职场上完全相同，只要你不是一个人自言自语，就得担心谈话对象会把话传出去。
This paper presents methods of mechanical matching, feature lexicon, binding matrix, grammar analysis and semantic understanding for the Chinese language automatic word segmentation.
本文给出了为汉语自动分词而提出的机械匹配法、特征词库法、约束矩阵法、语法分析法和理解切分法。
Automatic word segmentation is the basis of NLP.
自动分词技术是自然语言处理的基础工程。
This action undoes the automatic selection of the whole word, and enables the user to precisely select part or all of the word.
这个动作会复原对整个文字的自动选取，并让使用者能够精确地选取部分或整个文字。
The single Chinese character indexing is a new automatic indexing method produced as automatic indexing research of Chinese word segmenting meets some difficulties that can't be overcomed.
单汉字标引法是在基于汉语分词的自动标引研究遇到不可克服的困难之后，而产生的一种新的自动标引方法。
The user can override automatic selection of a whole word by momentarily reversing the direction in which the mouse pointer is being dragged as the selection is made.
使用者可以在拖曳滑鼠游标进行选择时，短暂反转选取方向来自动覆写所选的整个文字。
The dictionary mechanism is an important factor affecting automatic word segmentation systems and the finding speed is an important criterion to determine the performance of a dictionary.
分词词典机制是影响自动分词的重要因素，而查找速度是衡量一个词典好坏的重要标准。
The platform can tag word senses in large-scale corpus, and automatic statistic tagging effect, It is convenient for artificial verifying.
平台可对大规模语料库中的词义进行标注，同时自动统计出标注效果，方便人工进行验证。
Researching the automatic judge of Chinese word-split and sentence-split becomes an urgent task.
汉语自动分词分句的自动评判系统的研究已经成为一项亟待解决的紧迫课题。
To extend word segmentation repository and enhance word segmentation capacity, a Chinese word segmentation system based on automatic learning is proposed in this paper.
为扩展分词知识库，提高自动分词能力，本文提出了一种基于自学习机制的汉语自动分词系统。
The core of Chinese Search Engine is the key content extracting, and the bottleneck is Chinese Word Automatic Segmentation.
中文搜索引擎的重点在于中文关键信息提取，其中的难点就是中文自动分词。
Others such as machine translation ( MT ), speech synthesis, automatic classification, automatic summarization, automatic proofreading etc. , require the use of word segmentation.
其他的比如机器翻译（MT）、语音合成、自动分类、自动摘要、自动校对等等，都需要用到分词。
Natural language processing used Automatic Segment based on Two-letters-word-family structure, which is succinct, high speed and easy to achieve.
自然语言理解采用基于两字词簇的自动分词技术，该方法简洁、速度快，易于实现。
Natural language processing used Automatic Segment based on Two-letters-word-family structure, which is succinct, high speed and easy to achieve.
自然语言理解采用基于两字词簇的自动分词技术，该方法简洁、速度快，易于实现。
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