国际化的全文本检索支持。
文本检索与索引技术。
Lucene主要提供了两个服务：文本索引，文本检索。
Lucene offers two main services: text indexing and text searching.
trec；文本检索会议；百万查询项目；信息检索。
TREC; Text retrieval; Million Query Track; Information retrieval.
本文介绍了文本检索中相关性反馈技术及相关性反馈模型。
This paper introduces the technology of relevance feedback and relevance feedback model in the text relevance.
将语义计算技术应用于文本检索，是智能检索的重要方向。
Introducing semantic computation into text retrieval is an important direction in the field of intelligent retrieval.
在2007年和2008年添加了增强的高可用性、加密、以及文本检索。
Enhanced high availability, encryption, and text search were added in 2007 and 2008.
利用词项依存关系来改进词袋模型，一直是文本检索中一个热门话题。
To relax the term independence assumption, term dependency is introduced and it has improved retrieval precision dramatically.
在文本检索过程中充分利用词语之间的上下文关系有助于提高检索性能。
Fully utilizing the term context relations in text retrieval process helps to improve the retrieval performance.
如果你的笔记管理已经有了自己的原则和方法，文本检索会变得非常容易。
If you use the notes field of your citation manager in a disciplined way, your notes will?always be easy to find.
在研究现有文本信息检索技术的基础上，设计了基于推理网络的文本检索模型。
By the research on the existent IR (Information retrieval) technology, a text retrieval model based on inference network is designed.
实验证明，SDQE是可行的，并能有效地提高P 2 P系统中文本检索性能。
The experiment data prove that SDQE is feasible and effective to improve the retrieval performance in P2P system.
自适应过滤是文本检索会议（TREC）过滤任务的重要子任务，也最接近真实的环境。
TREC plays an important role in the research area of text retrieval and filtering, and the adaptive filtering track is one of the most important tasks in TREC.
目前，商用的音乐检索系统基本都仅限于文本检索技术为主，而信息的输入则以手工为主。
All of the existing music searching systems are primarily limited to the application of Text searching technology, while the input of information still mainly depends on handwork.
文本的形式化表示一直是文本检索、自动文摘和搜索引擎等信息检索领域关注的基础性问题。
Text Representation has been the fundamental problem in Information Retrieval, such as text retrieval, automatic summary and search engine.
基于文本信息实现数字视频信息的检索，既符合一般用户的检索习惯，又可借助日趋成熟的文本检索技术。
Text-based digital video retrieval is not only in conformity with the user's retrieval habit, but also can make use of the ever-maturing text retrieval technology.
本文提出的一个嵌套关系模型支持文本存储和文本检索操作，其中特征文件索引为文本检索提供了技术支持。
In this paper, a relational database based on nested relation is proposed it supports text storage and text operator. The text query is supported by signature file indexing technology.
本文提出的一个嵌套关系模型支持文本存储和文本检索操作，其中特征文件索引为文本检索提供了技术支持。
Based on the concept of relation and sub-relation, this paper investigates the inherent meaning of traditional set operations for the nested relational data model.
这样做是为了支持可能有的大量将被索引的企业文档，也有助于将Domino从全文本检索和搜索负荷中解脱出来。
This is to support the potentially high number of enterprise documents to be indexed and also has the benefit of relieving Domino of all full text indexing and search overhead.
目前，互联网上主要的视频搜索引擎都是利用视频的元数据，例如标题、简介等，通过文本检索的方式来实现对视频的检索。
At present, most of Internet's video search engines use video metadata, such as title, profile and so on, through the text retrieval approach to realize video retrieval.
传统的文本检索方式是基于提问集合和文本集合的单纯语词匹配检索，然而这并不能解决检索实践过程中存在的同义和多义问题。
The traditional method for text retrieval is based on single term matching which matches words of queries with words of documents. It can't solve the problems of synonymy and polysemy in practice.
与集中式搜索引擎相比，构建在P 2 P网络上的文本检索系统在可扩展性、数据更新、维护成本和安全性等方面具有与生俱来的优势。
Comparing to the centralized search engine, text retrieval systems built on top of P2P networks have innate superiority in scalability, data update, maintenance cost, safety, and so forth.
本文介绍在同济大学SIEMENS 7570计算机上建立的自动文本检索原型系统，该系统是以改善用户与系统的交互界面为目的，可以用自然语言输入，实现全文检索。
The automatic text-retrieval prototype system implemented on SIEMENS 7570 at Tongji University aims at improving on user interface, inputs natural language and implements full-text retrieval.
本文介绍在同济大学SIEMENS 7570计算机上建立的自动文本检索原型系统，该系统是以改善用户与系统的交互界面为目的，可以用自然语言输入，实现全文检索。
The automatic text-retrieval prototype system implemented on SIEMENS 7570 at Tongji University aims at improving on user interface, inputs natural language and implements full-text retrieval.
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