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automatic word segmentation中文是什么意思

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  • The chinese automatic word segmentation is an important part in the chinese information processing
    漢語自動分詞是中文信息處理中的重要環(huán)節(jié)。
  • The present paper analyzes such problems as the validity , effect , precision , tolerance , compulsion and limit of automatic word segmentation
    機器分詞時會遇到分詞的正確性、加工精度的可容性、機器分詞的強制性、機器分詞的局限性等問題。
  • Nowadays , research on chinese information processing focuses on chinese automatic word segmentation , parsing , but seldom in automatic term extraction
    目前,國內(nèi)對中文信息處理的研究主要集中在漢語自動分詞、語法分析上,對術(shù)語自動抽取的研究還不是很多。
  • Besides these , the model of the chinese automatic words segmentation describedin this dissertation can be used to deal with the words segmentation in the situation of command lines
    另外,本文所描述的漢語自動分詞模塊已可以在基于命令行的情況下,進(jìn)行分詞處理。
  • The way to segmentation and the anticipated functional criterion that are suited to this subject are illustrated , at last the concrete design of the chinese automatic words segmentation are described , including the overall design and the design of each model
    最后詳細(xì)描述了漢語自動分詞模塊的具體設(shè)計,包括總體設(shè)計以及各模塊設(shè)計等,同時給出了一些關(guān)鍵性的例程說明和程序設(shè)計的關(guān)鍵點總結(jié)。
  • The application of artificial neural network to solve the problem of chinese automatic word segmentation is presented . the mapping model and its performance are studied . based on a number of experiments , the performance of the model is evaluated
    神經(jīng)網(wǎng)絡(luò)分詞是今后分詞技術(shù)發(fā)展的一個趨勢,本文對分詞神經(jīng)網(wǎng)絡(luò)進(jìn)行了研究,建立了分詞神經(jīng)網(wǎng)絡(luò)的實驗系統(tǒng),利用分詞神經(jīng)網(wǎng)絡(luò)進(jìn)行了歧義字段劃分的實驗。
  • The automatic and accurate identification of chinese organization names is very significant to improve the accuracy of automatic word segmentation , and it will establish a good foundation for natural language comprehension , machine translation , information extraction and information retrieval
    中文機構(gòu)名稱的自動識別對提高漢語自動分詞的精確率有著重要的意義,也是自然語言理解、機器翻譯、信息抽取和信息檢索的基礎(chǔ)。
  • Refer to chinese automatic word segmentation based on statistics , this paper imports the mechanism of open learning , and uses the method of supervised and unsupervised learning . the word segmentation model includes credibility revising and partial tri - gram information
    本文在基于統(tǒng)計的漢語自動分詞的基礎(chǔ)上,引入開放學(xué)習(xí)機制,通過有監(jiān)督和無監(jiān)督相結(jié)合的學(xué)習(xí)方法,建立包含可信度修正和部分三元語法信息的多元分詞模型。
  • Chinese information processing model is added to the traditional search engine , which can make search engine intelligent and personalized . chinese automatic word segmentation is the first work in chinese information processing . in this paper , a chinese word segmentation system is studied , which fits for intelligence search engine
    針對歧義字段的劃分問題,提出了歧義字段劃分的三個原則,在三原則的基礎(chǔ)上給出了“二字續(xù)分法”分詞的方案,該方案能夠快速有效的分解大部分的歧義字段,具有很高的實用價值。
  • Chinese automatic word segmentation is the fundamental task of the chinese information processing . it mainly comprises of three difficult questions , including word criterion , disambiguation , unknown word identifying . many researchers have contributed to this field , but in the present days , it still needs pursuing higher precision
    漢語自動分詞是中文信息處理領(lǐng)域的基礎(chǔ)課題,而且也是進(jìn)行其它中文信息處理的前提,它有三個主要難點分別是分詞規(guī)范,歧義字段切分和未登錄詞,國內(nèi)外許多研究人員在這一領(lǐng)域都進(jìn)行了深入的研究,但就目前現(xiàn)狀來看,分詞的正確率仍然有提升的空間。
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