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statistical language models中文什么意思

發(fā)音:   用"statistical language models"造句
  • 語(yǔ)言模型
  • language:    n. 1.語(yǔ)言;(某民族,某國(guó)的)國(guó)語(yǔ);語(yǔ)調(diào),措詞。 2 ...
  • model:    n. 1.模型,雛型;原型;設(shè)計(jì)圖;模范;(畫(huà)家、雕刻家 ...
  • nested statistical models:    統(tǒng)計(jì)模型套
  • statistical forecasting models:    統(tǒng)計(jì)預(yù)測(cè)模式
  • statistical language:    統(tǒng)計(jì)語(yǔ)言
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  1. The maximum entropy principal proved to be a very useful method to create statistical language model
    近幾年的自然語(yǔ)言處理研究表明,最大熵原理是建立自然語(yǔ)言統(tǒng)計(jì)模型的一個(gè)很有效的方法。
  2. To retrieve information with more knowledge of language itself , statistical languages model for information retrieval was proposed a few years ago and develops fast
    為了利用語(yǔ)言知識(shí)進(jìn)行檢索,近年來(lái)基于統(tǒng)計(jì)語(yǔ)言模型( slm - based )的信息檢索得到了快速發(fā)展。
  3. An object - oriented chinese statistical language modeling toolkit is presented . the original trigram model is improved to have more capabilities of long dependency
    論文對(duì)原有trigram的hmm統(tǒng)計(jì)模型進(jìn)行改進(jìn),使其具有更多的長(zhǎng)距依存能力,促進(jìn)統(tǒng)計(jì)語(yǔ)言模型在中文自然語(yǔ)言處理領(lǐng)域的應(yīng)用。
  4. 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
    基于統(tǒng)計(jì)機(jī)器學(xué)習(xí)的字幕識(shí)別提取小波變換的特征并使用隱馬爾可夫模型和統(tǒng)計(jì)語(yǔ)言模型的識(shí)別技術(shù)相結(jié)合的機(jī)器學(xué)習(xí)方法,實(shí)現(xiàn)字幕文字的識(shí)別。
  5. 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
    傳統(tǒng)的人工神經(jīng)網(wǎng)絡(luò)數(shù)據(jù)編碼算法需要離線訓(xùn)練且編碼速度慢,因此通常多用于專用有損編碼領(lǐng)域如聲音、圖像編碼等,在無(wú)損數(shù)據(jù)編碼領(lǐng)域應(yīng)用較少,針對(duì)這種現(xiàn)狀,本文詳細(xì)地研究了最大熵統(tǒng)計(jì)語(yǔ)言模型和神經(jīng)網(wǎng)絡(luò)算法各自的特點(diǎn),在此基礎(chǔ)上提出了一種基于神經(jīng)網(wǎng)絡(luò)和最大熵原理的算術(shù)編碼方法,這是一種自適應(yīng)的可在線學(xué)習(xí)的算法,并具有精簡(jiǎn)的網(wǎng)絡(luò)結(jié)構(gòu)。

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