话题检测、话题跟踪分别是TDT的两项子任务。
话题跟踪的主要任务是在时序新闻报道流中识别特定话题的后续相关报道。
The main task of tracking is to identify subsequent on-topic stories in the temporal story stream.
目前对话题识别和话题跟踪的研究非常多，但这大都是对新闻事件进行分析。
At present, there are many researches about Topic Detection and Tracking, but these analyses aim at news events mainly.
作为话题检测与跟踪的重要研究子课题，话题跟踪针对特定话题，识别后续信息流中的相关报道。
As an important subtask of topic detection and tracking, topic tracking identifies and collects relevant stories on certain topics from information stream.
这个工具对于那些想要轻便地跟踪关键字和话题，特别是热门主题的人来说非常有用。
This tool is very useful for anyone wanting a lightweight way to watch keywords and topics, especially if they are topical memes.
以话题为中心的博客（如读写网）是跟踪话题的好帮手。
Topic-focused blogs (such as ReadWriteWeb!) are great for tracking topics on the Web.
调查也发现多数美国人会使用互联网搜索引擎来跟踪特定话题的新闻。
The survey also found that more Americans are using Internet search engines to track down news on topics of interest.
相反的是，Twitter上的搜索者更有可能是想要跟踪一个话题，因此搜索“波特兰”有可能仅仅是一个当地人想要跟踪新闻和话题。
By contrast, Twitter searchers are far more likely to be trying to follow a conversation, and so a search on "Portland" is likely to be simply a local trying to follow the news and conversation.
JorgeArgus在敏捷测试讨论组里发起了一个有意思的话题，讨论在敏捷项目里采用跟踪矩阵的必要性，引发了大家热烈的讨论。
In a raging discussion on the Agile Testing Group, Jorge Argus initiated an interesting thread on the need for a traceability matrix in an Agile project.
话题发现与跟踪是一项评测驱动的研究，旨在依据事件对语言文本信息流进行组织利用。
Topic Detection and Tracking is a research driven by evaluation, which intends to organize and utilize information stream of texts according to event.
话题检测与跟踪（TDT）技术可以帮助人们把分散的信息有效地汇集并组织起来，从整体上了解一个事件的全部细节以及该事件与其它事件之间的关系。
Topic Detection and Tracking (TDT) can help us to organize the potential information so that we can grasp all the details about events and the relations between events.
新事件检测是话题检测与跟踪领域的一项重要研究，其任务是实时监控新闻报道流并从中识别新话题。
New event detection is an important research in the field of topic detection and tracking, and its task is real-time monitoring the stream of news stories and identifying the new topics in it.
文档聚类是实现话题检测与跟踪的重要方法。
Text clustering is an important technology for Topic Detection and Tracking.
新话题监测是话题检测与跟踪领域的一项重要研究。
New topic detection is an important research in the field of topic detection and tracking.
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.
在这个话题的开始提到的跟踪命令自动打开跟踪缓冲区。
Trace commands mentioned at the beginning of this topic automatically open trace buffer.
针对互联网上论坛和新闻网站发布的海量自然语言文本，该文设计一个话题识别与跟踪系统，将海量的数据分类整理并聚合形成各个话题。
Topic detection and tracking (TDT) aims to develop a series of technologies for event based information organization, and hierarchical topic detection (HTD) is a new task of it.
针对互联网上论坛和新闻网站发布的海量自然语言文本，该文设计一个话题识别与跟踪系统，将海量的数据分类整理并聚合形成各个话题。
Topic detection and tracking (TDT) aims to develop a series of technologies for event based information organization, and hierarchical topic detection (HTD) is a new task of it.
应用推荐