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1)  Topic detection
话题识别
2)  Topic Detection and Tracking(TDT)
话题识别与跟踪
1.
This paper designs and implements a Topic Detection and Tracking(TDT) system to process the huge number of natural language text on Web.
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。
3)  Topic Detection and Tracking
话题识别与跟踪
1.
Development and Research on Technology of Topic Detection and Tracking;
话题识别与跟踪技术的发展与研究
4)  story link detection
话题关联识别
1.
As a key technology of topic detection and tracking,story link detection is always a issue from the beginning.
本文首先简单介绍了话题发现与追踪的发展史及主要任务,然后重点分析比较了现有话题关联识别模型的使用情况,并测试了文档中各层次知识特征对话题关联识别性能的影响。
5)  hierarchical topic detection
层次化话题识别
1.
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.
话题识别与跟踪(topic detection and tracking,TDT)旨在发展一系列基于事件的信息组织技术,层次化话题识别(hierarchical topic detection,HTD)是其中一项全新的任务定义形式。
6)  speaker recognition
话者识别
1.
Feature extraction of speaker recognition system based on mathematical morphological filtering;
基于数学形态滤波的话者识别系统的特征提取
2.
Text-independent speaker recognition based on recurring expectation maximum adjustment algorithm;
基于循环最大期望修正算法的与文本无关话者识别研究
3.
Research on the discriminating value of different frequency formants in speaker recognition
不同频率共振峰在话者识别中的鉴别价值
补充资料:话题
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