結構語法缺陷 的英文怎麼說

中文拼音 [jiēgòuyǔfǎquēxiàn]
結構語法缺陷 英文
structure syntax flaw
  • 結 : 結動詞（長出果實或種子） bear （fruit）; form （seed）
  • 構 : Ⅰ動詞1 （構造; 組合） construct; form; compose 2 （結成） fabricate; make up 3 （建造; 架屋） bui...
  • 語 : 語動詞[書面語] （告訴） tell; inform
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 缺 : Ⅰ動詞1 （缺乏; 短少） be short of; lack 2 （殘缺） be missing; be incomplete 3 （該到而未到） be ...
  • 陷 : Ⅰ名詞1 （陷阱） pitfall; trap2 （缺點） defect; deficiency Ⅱ動詞1 （掉進） get stuck or bogged do...
  • 結構 : 1 （各組成部分的搭配形式） structure; composition; construction; formation; constitution; fabric;...
  • 語法 : grammar; syntax
  • 缺陷 : defect; fault; faultiness; vitium; lesion; flaw; disorder; imperfection; drawback; blemish
  1. This paper studies nonlinear dynamic problems of tall building structures, first, constitutes linear dynamic equation and elasto - plastic dynamic equation of structure by using qr method, later, solves the dynamic equation by using spline unconditional stable algorithm, last, programs corresponding computer programs with c program language, and calculates some example and a tall building in constructing the courses and the results prove that qr method is not only simple in calculating and fast in constringency rate, but also precise, that qr method is a effective and economic new method

    本文研究高層建築結構彈塑性動力問題，先利用qr法建立了結構線性動力方程及彈塑性動力方程，然後利用樣條無條件穩定演算法求解了動力方程，最後利用c語言編寫了相應的計算程序，計算了一些例題和分析了一個工程實例。 qr法在理論上及方法上不用有限元法及流動法則，避免了這些傳統方法在分析非線性問題時所帶來巨大困難的缺陷。計算結果表明，這種方法不僅計算簡便，而且精度高，收斂速度快，是一種經濟有效的新方法。
  2. Just as most of the natural language process technologies, the methods of ner have two classes, statistic - based and rule - based. considering of the limitation of using only one of the methods, we combined both of the methods to recognize named entity in this thesis. we combined the maching learning with ner to make the system get the ability of self - learning. we have done research on decision tree of maching learning mainly and designed a recognize model to recognize named entity. this model first used the probability and statistic way to extract the potential named entities, and then some context linguistic language information are employed in the model to recognize the named entities furtherly. as the wrong entites are denied, the recongnize effect has been improved

    鑒于單獨採用基於統計方法或基於規則方法的缺陷，在這篇論文中，採用了統計與規則相結合的方法來識別命名實體。為了使系統具有學習能力，我們把機器學習方法應用於中文命名實體的識別，這里我們著重研究了機器學習中的決策樹方法在中文命名實體識別中的應用;設計了一種基於決策樹的識別模式，該模式首先利用概率統計方法，在文本中盡量完備地識別出潛在的命名實體，然後利用潛在命名實體相關的上下文詞法、語法和語義特徵作為屬性構建決策樹，否定不正確的實體，進一步提高了命名實體識別的準確率。
  3. In the second of this article i listed the five causes about why the issue of quebec has been existing so long time : the most important cause of the issue of quebec is the intense desire of keeping and persisting the speciality of the france origins in the british origins dominating society ; the culture conflict based on language is imbued with the whole process of quebec issue ; the issue of quebec interweaving with constitution crisis is a important stimulative factor ; the defect in the system of the canada federation affords chance for the rapid development of the issue of quebec ; the change of economic status accelerate the quebec separate trend

    本文第二部分概括出魁北克問題長期存在的五方面原因：在英裔佔主導地位的社會中，使法裔的種族特性得以保持和延續的強烈願望是魁北克問題的主要原因；以語言為載體的文化沖突貫穿于整個過程；魁北克問題與加拿大憲法危機相互交織是重要刺激因素；加拿大聯邦制自身的結構缺陷為魁北克問題愈演愈烈提供了可乘之機；魁北克經濟地位的變遷加劇了其分離的傾向。
  4. Through discussing such core technologies in the automatic processing of chinese information as automatic word segmentation, feature selecting and automatic representation of texts, the thesis makes some improvements and perfection on the current methods of automatic word segmentation and text space reduction of chinese texts, therefore improved their efficiencies and effects. with regard to the methods of text classification, the paper introduced two supervisory automatic classification methods of chinese texts based on multi - classification, i. e. fuzzy clustering and boosting, which settled the problem of low percentage of recall. through comparing the results of experiments with the two methods, an automatic classification system of multi - classification texts is constructed based on the boosting method, which received good effects in application and provides a good resolution to the problem of real - time classification of information

    通過對漢語信息自動處理中自動分詞、特徵提取、文本自動表示等核心技術討論，對目前漢語文本自動分詞和文本降維方法中的不足和缺陷作了改進，提高了分詞和文本分類的效率和效果；在文本自動分類方法上，介紹了兩種有監督的基於多類的漢語文本自動分類處理方法? ?模糊聚類方法和boosting方法，解決了實踐中文本分類查全率不高的問題；通過對兩種方法的實驗比較結果，構建了基於boosting方法的多類文本自動分類系統，在實際應用中收到了良好的效果，較好的解決了信息的實時分類問題。
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