提出了一种基于汉字串频度及串长度递减的中文文本自动切分算法。
This paper puts forward a new algorithm about automatic Chinese text segmentation based on Chinese characters string frequency and length descending.
使用自动分词知识可以进一步提高自动切分精度，满足高标准的需求。
Knowledge of Chinese words automatic segmentation can raise the precision of automatic segmentation, and it can satisfy high precision requirements.
自动切分过程中会出现许多歧义，例如下图中只有红色标记的切分结果是正确的。
When segmenting automatically, there may exist disambiguation. For instance, in the following figure, only the segmentation marked with the red color is correct.
若能把连续大词汇量的语音进行实时自动切分为单个音节，便可提高系统的识别率。
If speech sound of continuous large vocabulary can be automatically divided into segments of single syllable, the recognition ratio of system can be raised.
本文研究方言口音普通话语音自动切分算法，主要服务于方言口音普通话语音库建设。
This paper concentrates on robust automatic speech segmentation of dialectal speech, which is essential for building dialectal speech corpus.
该方法对汉字拼音输入技术的音节流自动切分和音字转换两方面进行了较全面的评估。
This approach can evaluate syncopation of Chinese phonetic string and syllable-to-character conversion comprehensively which has been applied to popular systems using partial Peoples Daily in 1996.
本文提出了一种基于决策树的并结合规则的新方法来解决口语句子边界自动切分的问题。
In this paper we propose a decision tree-based method, which combined with rules for utterance segmentation in spontaneous speech.
为解决手写汉字文本的自动切分问题，提出了一种基于动态规划的联机手写汉字分割方法。
In order to solve the problem of automatic segmentation of handwritten Chinese text, a dynamic programming-based online handwritten Chinese character segmentation method is proposed.
该切分算法在基于能量的语音切分算法基础上，结合了双模态语料库的一些特征，实现了对语料的自动切分。
This segmentation algorithm combines the speech segmentation approach based on energy with the characters of the database. Now, the automatic segmentation in the Bimodal Database can be realized.
在邮件服务器的测试评分中，通过自动在多个NUMA域中切分应用程序，我们的性能得到了39%的提升。
On a mail-server benchmark, we show a 39% improvement in performance by automatically splitting the application among multiple NUMA domains.
主题词的切分是自动标引的第一步。
本文给出了为汉语自动分词而提出的机械匹配法、特征词库法、约束矩阵法、语法分析法和理解切分法。
This paper presents methods of mechanical matching, feature lexicon, binding matrix, grammar analysis and semantic understanding for the Chinese language automatic word segmentation.
文章描述了一种从熟语料中自动获取文本切分知识的机器学习的方法。
This paper presents a learning method to auto ma tically acquire segmentation knowledge from Chinese corpus.
组合型歧义切分字段一直是汉语自动分词的难点，难点在于消歧依赖其上下文语境信息。
Combinational ambiguity is a challenging issue in Chinese word segmentation in that its disambiguation depends on the contextual information.
本文介绍了目前采用的几种汉语自动分词技术，包括：最大匹配法、改进的最大匹配法、全切分法等。
This paper introduces many technology of segmentation, such as maximum matching, improved maximum matching, full segmentation, and so on.
比较详细地介绍了该方法的设计思想，字典构造，自动抽词和文句切分的具体做法。
The specific means of the design framing, the structure of dictionary, automatic choice of index terms and the separation of sentences are discussed in detail.
歧义处理是影响分词系统切分精度的重要因素，是自动分词系统设计中的一个最困难也是最核心的问题。
Ambiguity processing is an important factor to determine the precise of a word segmenting system, and a most difficult and essential problem of automated word segmenting system.
切分歧义是影响汉语自动分词系统精度的一个重要因素。
Segmentation Ambiguity is an important factor influencing accuracy of Chinese auto-segmentation system.
所开发的系统具有简单方便的操作性能，可控制机床的三个驱动轴和多个开关量协调工作，自动完成筛管切分加工的整个工艺流程。
The system is easy to operate and can make three axeses of the machine tool and certain switch signals work in phase, completing the cutting process automatically.
系统首先对待切分词使用有限状态自动机进行分析。
In this paper, the authors first use FSM to analyze the stemming words.
最后本文对该系统对蒙古文进行切分之前和切分之后的自动词性标注分别作了以下的实验。
Finally, using the system to the Mongolian automatic POS tagging when Mongolian segmentation before and after is made by the following test.
目前学术界主要采用计算机自动分词解决中文文本分词，但是这种方法不能完全解决分词问题，这是因为计算机自动分词不能彻底地解决歧义字段的切分。
And now the most widely used method is automatic segmentation. But this method can't solve the problem thoroughly, because this method can't solve the problem of ambiguous segment.
针对目前铅酸蓄电池刀切装置通用性差且自动化程度低等问题，设计出一款新型铅酸蓄电池刀切分离器。
In view of the problem of low universality and low automation degree of the current lead-acid battery cutting device, we design a new device to solve those problems.
针对目前铅酸蓄电池刀切装置通用性差且自动化程度低等问题，设计出一款新型铅酸蓄电池刀切分离器。
In view of the problem of low universality and low automation degree of the current lead-acid battery cutting device, we design a new device to solve those problems.
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