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The experimental results show that this approach outperforms other traditional methods and is effective for image annotation.

实验结果表明,提出的标注方法可行,同时标注结果与传统的标注方法相比得到了明显提高。

In this paper,several word sense annotated corpus are introduced in the aspects of corpus coverage,dictionary,tokens,word types and the inter annotator agreement,involving English,Chinese and Japanese.

本文分别从语料选取、词典选择、标注规模和标注质量等方面介绍已经建成的较有影响的若干词义标注语料库。

On the syntactic level, the author discussed the problems of both syntactic tagging and grammar training on corpus.

本文针对词性标注的具体需要,修改了经典的HMM,使得模型能够随着新语料的增加动态地进行调整,从已标注或未标注的语料中获取知识以提高模型的准确性。

The thesis has executed system's assistant function design, It realized frame and title bar's drawing、 table drawing、 surface roughness tolerance's label、 norm symbol's label and shape tolerance's label and so on to complete rapidly.

进行系统的辅助功能设计,实现了图框和标题栏的绘制、明细表的绘制、表面粗糙度的标注、基准代号标注以及形位公差标注等辅助功能的快捷完成。

This paper attempts to set Event as the elementary discourse unit in annotation of the texts reporting an event.

Annotation ;本文对表达事件的语篇,尝试以事件为基本单位进行标注,以事件标注为核心,探索语篇的标注

The word-to-sound rule and the structure of a speech database are modified during the implementation of TTS system, and then a filter algorithm based on part-of-speech is proposed to solve the polyphone problem. Prosodic research on Chinese characters plays a great role in speech recognition and speech synthesis system. In order to improve the naturalness of a speech synthesis system, the relationship among the sentence structure, the length of a sentence and the breath boundaries is analyzed and a breath boundary assigning algorithm based on such relationship is put forward. In addition, the author analyzes the process of a speech synthesis system and builds a prosodic markup language suitable for Chinese speech synthesis.

呼吸群边界划分作为汉语韵律的一种表现方式,它在语音感知和文语转换系统的性能方面起着十分重要的作用,作者在对汉语句法结构、句子长度和和呼吸群划分之间关系的研究基础上,设计并实现了基于句子长度和句法结构的呼吸群边界划分算法;为更好地描述文语转换过程,作者提出了适合汉语语音合成的SSML韵律标注语言,该标注语言不仅从声学层上对语音的韵律进行描述,而且从语言学层上标注句法结构信息,最后本文对基于语言理解的韵律规则用SSML进行了描述并用实验验证了语言学层面的标注对系统自然度的影响。

A hybrid algorithm of morphological rules and machine learning was presented to tackle the assignment of primary accent.

主重音的标注采用形态规则和机器学习相结合的标注算法;而次重音的标注完全通过机器学习算法来进行。

A hybrid algorithm of morphological rules and machine learning was presented to tackle the assignment of primary accent. And a machine learning algorithm was proposed to handle the assignment of secondary accent.

主重音的标注采用形态规则和机器学习相结合的标注算法;而次重音的标注完全通过机器学习算法来进行。

A large scale manually annotated Chinese corpus and a number of well-conducted experiments were used to identify the following points of the hidden Markov model based part-of-speech tagging scheme for Chinese texts. The results are:① The Bigram model is better than the Trigram model in terms of the performance-cost ratio.② An annotated corpus of about 70000 words tokens would be sufficient for training the Bigram model, to produce system performance of about 93% tagging accuracy for ambiguous word tokens and 97% tagging accuracy for all word tokens in the texts.③ The Bigram model can be suited to different application domains quite well.

论文在经过人工分词和词类标注的大规模汉语语料库的支持下,通过一系列对比实验,对基于隐Markov模型的汉语词类自动标注算法进行了系统的考察,并得出结论:① Bigram模型的"性能价格比"较Trigram模型更令人满意;②以7万词次左右的标注语料库训练Bigram模型即已基本够用(此时,兼类词词类标注正确率及文本词类标注正确率分别可达93%和97%以上);③ Bigram模型对不同领域具有一定的适应性。

In the part of isoline filling, Firstly isoline character is deeply researched in this paper ,then two methods which one is based on border points-tracing algorithm for region filling of isograms, the other is based on equivalence region with same attribute tracing for

两种算法都较好地解决了基于栅格的填充算法所出现的问题,并改进了某些矢量算法的不足。在等值线的标注部分,文章采用多边形近似法来确定标注的位置,很好地实现了标注放在曲线的旁侧和标注放在曲线上这两种不同的标注方式。

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