语义提取是认知心理学研究的重要领域之一。
The study used methods of classfying to explore the recovery of categorical meaning of Chinese single-characters.
研究语言表达方式对科学概念语义提取的影响。
Research on Semantic Extraction of Content-based Video Retrieval;
基于上述思想，本文研发了一个WWW图像语义提取系统。
From the ideas said above, a semantic extracting system of image in WWW was developed in this paper.
实验结果表明，这两种方法对图像有较好的语义提取效果。
The experimental results showed that the two methods have better performance on image semantics extraction.
本研究是对汉字分类过程中语义提取的进一步探索，主要研究汉字双字词的语义提取。
The study is a further exploration of semantic recovery of Chinesecharacters in the classifying process.
运用事件相关电位(ERP)技术考查了在汉语词汇产生过程中，语义提取和语音提取的时间进程。
The temporal course of semantic and phonological retrieval in Chinese word production was investigated using ERP technique.
例如，在Google上搜一个公司的名字，第一个搜索结果不仅仅是公司网站，还包括一些从它的网站上提取的语义内容。
For instance, when you enter a company name in Google, the first result not only returns the homepage of the company but also some semantic meaning extracted from the website.
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."
数据操作服务(在下方的层中)从物理存储库中提取数据，并且语义服务将该数据转换为信息。
The data manipulation services (in the lower layer) extract data from the physical repositories, and semantic services turn this data into information.
另外，还有一个称为“语义同义词(semantic synonym)”的新概念，它通过转换用户的关键字查询，从根本上简化对从非结构化文本中提取的概念的搜索。
Furthermore, a novel concept called "semantic synonyms" radically simplifies searching for concepts extracted from unstructured text by transforming the user's keyword query.
实验表明本文提出的图像颜色特征提取算法可成功应用于海量图像库检索和图像语义信息的自动提取。
Experiments show that the new algorithm proposed can be successfully used in retrieving the image from good-sized image database and extracting semantic information from image automatically.
句子理解是以字词识别加工为基础，在提取字义的同时进行句法分析和语义分析，最终形成句子的完整意义。
Sentence comprehension is a process in which reader has syntactic and semantic parsing while retrieving meaning of word based on words recognition, and forms whole meaning of sentence.
图像中语义区域的提取对于计算机视觉、CBIR等都具有重要的意义。
The extraction of semantic region is significant for the computer vision and CBIR.
本文采用潜在语义索引（LSI）和遗传算法（GA）进行文本特征提取。
This paper selects the features of text by using LSI and GA(Genetic Algorithm).
潜在语义分析(LSA)是一种知识提取和表示的理论和方法。
Latent Semantic Analysis (LSA) is a theory and method of acquisition and representation of knowledge.
本文提出了一种利用汉语句子的表层句法信息和词汇语义信息，从实例中提取多级翻译模板的方法。
In this paper, an approach which utilizes the information of syntactic structure and lexical meaning of the Chinese sentences to extract the multilayer translation template from example is applied.
在最底层，提取视频特征，并提出一种视频语义片段自动分割算法；
The bottom layer of the semantic inference framework extracts low level features at the frame level with a semantic clip segmentation algorithm based on the acceleration of the global motion.
准确提取视频高层语义特征，有助于更好地进行基于内容的视频检索。
Extracting high level features from video accurately benefits the content-based video retrieval.
第二章主要介绍图像语义的层次模型、提取模型，提取方法以及图像分割技术。
The second chapter mainly introduces the sementic level model, extraction model, extraction methods of image sementic and image segmentation technologies.
语法开发平台包括三个子系统：语法提取子系统、语法分析子系统、语义分析处理子系统。
This platform is made up of the following three subsystems: grammar extraction subsystem, grammar analysis subsystem and semantic processing subsystem.
图像目标提取是图像语义抽取及其应用的基础。
Extraction of object in an image is a precondition for semantic image retrieval.
对汉语语义记忆的提取进行了两个实验。
Two experiments were conducted to investigate the semantic retrieval for Chinese language.
本文通过分析图像语义自动标注的相关技术，深入探讨和研究了图像视觉特征的提取方法。
This paper has a further exploration and study of visual feature extraction depending on analyzing correlative technology of the automatic annotation.
本文基于词的同现频率的方法对文本的特征进行提取，涉及了文档的语义。
The paper extracts the text features based on a method of word co-occurrence frequency, which is related to the semantics of document.
语义加工和知觉表征相互作用的脑机制表现为额区与视觉区域间信息的传递、提取。
Brain mechanism for the interaction of this two levels of representation focus on the process how information transfer and extract between fontal and visual area.
对于专家对象，提出了专家的文本经验元属性以及基于窗口的经验元属性提取策略，将程序设计中的经验元概念扩展到语义层次。
Especially for expert objects, Textual Experience Atom was proposed as a kind of attribute, which extends the concept of Experience Atom in programming to a semantic level.
针对现有的XML签名对特定细粒度信息查找困难和签名速度慢的问题，提出一种基于语义路径提取信息的变换算法，此语义路径通过构建XML索引结构得到。
In order to solve these problems, this paper proposes a transformation algorithm of abstract information based on the semantic path, in the light of constructed XML index tree.
如果在这个表征系统中有符合要求的语义类型，该类型就会从属性结构中提取出来以满足谓词的类型要求。
If there is an appropriate semantic type in the representation, this type will be taken out from qualia structure to satisfy the type required by predicate.
如果在这个表征系统中有符合要求的语义类型，该类型就会从属性结构中提取出来以满足谓词的类型要求。
If there is an appropriate semantic type in the representation, this type will be taken out from qualia structure to satisfy the type required by predicate.
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