分类法是一种重要的信息检索语言，也是实现信息资源管理科学化、自动化和网络化不可缺少的工具。
Classification is a sort of important information retrieval language, also a tool of scientific and automatic management on information resources.
如果信息用XML文档给出，可以用XML查询语言如XQuery检索数据。
With information specified as an XML document, you can retrieve data with an XML query language, like XQuery.
XPath是一种强大的语言，它允许您编写用来从XML数据中检索信息的简明表达式。
XPath is a powerful language that allows you to write concise expressions for retrieving information from XML data.
自动问答系统是集自然语言处理技术和信息检索技术于一身的新一代智能搜索引擎。
Question Answering (QA) is the next generation of search engine which is related to natural language processing, information retrieval and etc.
因此，跨语言信息检索成为当今的研究热点。
Therefore, cress - language information retrieval has been hot in research.
汉英词典对于跨语言信息检索、计算机翻译等许多领域具有重要意义。
Chinese English dictionary is of great importance to such fields as cross language information retrieval, machine aided translation et al.
与信息检索不同，信息抽取直接从自然语言文本中抽取事实信息。
Unlike information Retrieval, information Extraction Systems extract factual information directly from natural language texts.
因此，跨语言信息检索成为当今的研究热点。
Therefore, cress -language information retrieval has been hot in research.
在分词技术、索引技术、结构化查询语言技术的基础上，提出了一个基于XML文档数据库的信息检索系统，这一系统模型主要由分词模块、索引模块及查询模块组成。
This paper puts forward an information retrieval system based on XML documents database on the foundation of segmentation technology, index technology and structured query language technology.
本文提出了一种信息检索模型，以自然语言的形式进行检索，得到用户想要得到的内容，进而提高查询的准确性。
This paper provides an information retrieval model, and it retrieves in way of natural language, gets the content what the users want, so it can improve the retrieval precision.
通过连续的大规模评测，话题识别与跟踪已成为国际上自然语言处理尤其是信息检索领域的一个研究热点。
Through a series of large-scale evaluations, TDT has become a hot problem for worldwide research in the fields of natural language processing, especially in information retrieval.
而统计语言模型和IR相结合后所形成的IR模型的提出，是信息检索模型研究上的重大进展。
The proposition of IR model formed after statistical language model combined with IR has great progress at information retrieval model research area.
自动问答系统是自然语言处理研究中的一个热门的研究方向，主要集问题分析、信息检索、答案抽取等于一体。
Question answer System is a subject of great topic study orientation in studying natural language processing, mainly including question analysis, information retrieval and answer collection.
模糊检索能极大提高系统处理非精确信息的能力，因而基于模糊语言的数学模型至关重要。
Fuzzy retrieves can greatly improve the ability to deal with the inaccurate information and math models based on fuzzy languages are indispensable to succes.
提出了一种以语言概念空间中的概念为聚类对象的信息检索方法以及适合于该方法的聚类算法。
An information retrieval model based on language concept space and a clustering method which serves the IR model is propsed.
记忆在语言学习的某些阶段，如信息储存和检索过程中起了不可估量的作用。
This can be the physiologic evidence that memory plays a very important role in some stages of language learning, for example, information store and retrieval.
为了利用这种灵活性，一个XML查询语言应该提供检索和解释不同数据源信息的特征。
To exploit this flexibility, an XML query language must provide features for retrieving and interpreting information from these diverse sources.
由于SDD算法与具体的语言无关，因此应用面广，在中文领域，尤其是中文农业网页信息检索方面具有实用价值。
Because the SDD has nothing with Language, it can be used in many field, especially in Chinese Information Retrieval.
问答系统是集自然语言处理技术和信息检索技术于一身的新一代智能搜索引擎。
Question answering is the next generation of search engine which is related to natural language processing, information retrieval and etc.
而语言模型在信息检索上的优势也被许多研究所证明。
But, the advantage of language model in information retrieval has been proved in many researches.
当需要对自然语言识别时，根据已有模式来匹配句子，从中检索出所需要的信息。
When we need to recognize natural language, we match the natural language with the pattern, then pick up the useful information.
根据研究对象的变迁，国外关于跨语言信息检索的历程主要分为三个阶段。
According to the evolution of research objects, there have been three stages in the development of cross-language information retrieval.
摘要短语等价对在词典编纂、机器翻译和跨语言信息检索中有着广泛的应用。
Phrase equivalence pair is very useful for bilingual lexicography machine translation and crossing-language information retrieval.
本文从检索工具、信息标引和检索语言三个方面分析了网络信息检索中存在的问题，并提出了相应的对策。
This article analyzed the problems ling in network information retrieval from three aspects: retrieval tools, information index, information language, coming up with the corresponding solutions.
跨语言信息检索中，输入的查询语句往往是一系列关键词组合，而不是一个完整的句子。
In the cross language information retrieval, the query input is often a combination of keywords, not a complete sentence.
人名性别识别能应用在自然语言处理和信息检索中。
Gender recognition of person name can be used in natural language processing and information retrieval.
除机器翻译方面的应用之外，平行语料库的建设对于双语词典编纂、词义消岐和跨语言信息检索也具有重要价值。
Moreover , the parallel corpus is valuable in machine translation , bilingual dictionary compilation , word sense disambiguation and cross - lingual information retrieval.
双语术语相似度计算在跨语言信息检索等领域有重要的应用。
Bilingual terminology similarity is one of the focuses of research in the fields of Cross-language Information Retrieval and so on.
论文介绍了在因特网上检索英语语言文学信息的主要途径，以及英语语言文学方面的重要网络资源。
This paper introduces the main retrieval approaches to the resource of English language and literature on the Internet, as well as some of the important net resource.
跨语言信息检索目前的主要解决方法是在单语言信息检索系统上增加一个语言转换机制。
The main solution for cross-language information retrieval is to add a language transformation mechanism to single-language information retrieval systems.
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