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statistical language中文是什么意思

  • 统计语言

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  • The maximum entropy principal proved to be a very useful method to create statistical language model
    近几年的自然语言处理研究表明,最大熵原理是建立自然语言统计模型的一个很有效的方法。
  • In statistical language , we would say that the relative frequency become stable as the number of tosses becomes large ( if we are tossing the coin under uniform conditions )
    用统计学的语言来说就是随着抛掷增加(假定抛币条件不变) ,相对频率越来越稳定。
  • To retrieve information with more knowledge of language itself , statistical languages model for information retrieval was proposed a few years ago and develops fast
    为了利用语言知识进行检索,近年来基于统计语言模型( slm - based )的信息检索得到了快速发展。
  • An object - oriented chinese statistical language modeling toolkit is presented . the original trigram model is improved to have more capabilities of long dependency
    论文对原有trigram的hmm统计模型进行改进,使其具有更多的长距依存能力,促进统计语言模型在中文自然语言处理领域的应用。
  • Caption recognition feature extraction using wavelet transformation and the combination of statistical language model and hidden markov model methods finally achieved the identification of caption
    基于统计机器学习的字幕识别提取小波变换的特征并使用隐马尔可夫模型和统计语言模型的识别技术相结合的机器学习方法,实现字幕文字的识别。
  • Neural networks are used more frequently in lossy data coding than in general lossless data coding , because standard neural networks must be trained off - line and they are too slow to be practical . in this thesis , statistical language model based on maximum entropy and neural networks are discussed particularly . then , an arithmetic coding algorithm based on maximum entropy and neural networks are proposed in this thesis
    传统的人工神经网络数据编码算法需要离线训练且编码速度慢,因此通常多用于专用有损编码领域如声音、图像编码等,在无损数据编码领域应用较少,针对这种现状,本文详细地研究了最大熵统计语言模型和神经网络算法各自的特点,在此基础上提出了一种基于神经网络和最大熵原理的算术编码方法,这是一种自适应的可在线学习的算法,并具有精简的网络结构。
  • The section language model makes the improvement on the traditional statistical language model in two aspects : firstly , aimed at the situation that the conceptual base can possibly correspond to many words in language , but the words in query are merely its particular cases , this paper has introduced the correlation vocabulary table . it contains all the possible words that may correspond to each conceptual base . when constructing the language model , not only the query ’ s words are considered , but also all the words corresponding
    段语言模型对传统的统计语言模型在两个方面进行改进:首先针对概念基在语言中可以对应多个词汇,而查询语句中的词汇仅仅是其特例的情况,本文引入了相关词表的概念,在相关词表中维护了每个概念基对应的所有可能的词汇表示,在构建语言模型时不只是根据查询语句的词汇,而是通过查询语句中概念基的所有相关词汇,这就有效的提高了检索结果的召回率。
  • Owing to the peculiarity of mandarin spoken language , the recognizer adopts the sonic model based on hmm , the mixed statistical language model based on both phrases and phrase class . moreover , it makes use of word tree viterbi - beam searching guided by language model and the sylable - filling model . a method of speech identifying and denying is used in the processing of vocabulary out of collecting , non - speech and noises
    针对汉语口语的特点,识别器采用了基于hmm的声学模型,基于词和基于词类的混合统计语言模型,及由语言模型引导的词树viterbi - beam搜索,并且采用基于音节的填充模型、话语确认和拒识等方法对集外词、非语声和噪音进行处理。
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Last modified time:Sun, 17 Aug 2025 00:29:56 GMT

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