詞義縮小 的英文怎麼說

中文拼音 [suōxiǎo]
詞義縮小 英文
undergeneralization
  • : 名詞1 (說話或詩歌、文章、戲劇中的語句) speech; statement; lines of play 2 (一種韻文形式 起於唐...
  • : Ⅰ名詞1 (正義) justice; righteousness 2 (情誼) human ties; relationship 3 (意義) meaning; si...
  • : 縮構詞成分。
  • : Ⅰ形容詞1 (體積、面積、數量、強度等不大) small; little; petty; minor 2 (年紀小的; 年幼的) youn...
  • 縮小 : reduce; lessen; narrow; shrink; reduction; contraction; minification; diminution
  1. It put forward some strategy for improvement and at last presents a new forensics method, “ suspect characteristic - computer activity information database ”. this method points out a new direction for analyzing massive data, narrowing analyzing scope and seeking electronic evidence. it also introduces a new way to correlate the words in “ text correlation analysis ”, which is on the basis of data mining

    本文的第四章在對現有電子證據的分析技術總結和分析的基礎上,對比了各個方法的優缺點,並對一些方法提出了自己改進策略,最後提出了自己的新的取證分析方法思路「計算機犯罪行為分析庫」該方法為分析海量數據,盡快分析范圍,尋找電子證據提出了新的方向;基於語分析和數據挖掘的「文本關聯分析」為自動構建關鍵庫和發現語間的聯系提供了新的方法。
  2. It process documents not only based on latent semantic analysis, but also based on text multilevel dependency structure. the method first analysis the latent semantic structure of texts, make single value decomposition on text - matrix, reconstruct the semantic matrix ; then a method based on text multilevel dependency structure is adopted, deeply analysis the content of the semantic matrix, abstract the important sentences to generate abstraction and make up the shortage of latent semantic analysis on structure and syntax

    首先通過對文本進行潛在語分析,對文本矩陣進行相應的奇異值分解,重構語矩陣;然後採用基於篇章多級依存結構的文摘分析方法,對重構的語矩陣表示的文本內容進行深入的分析,抽取重要的句子生成文摘,這樣就彌補了潛在語分析在法和句法分析上的不足;同時過濾和去除了語噪音,了問題的規模。
  3. Then user browses the web pages, selects interested web page as sample page and create conceptual schema based on the understanding of content of the sample page. thirdly, the user marks the interested information blocks in sample page and build up the correspondence between the interested information blocks of sample page and fields of conceptual schema, and at the meanwhile system passes the correspondence to learning module to form extraction rules and stores them into rule database. fourthly, extraction module extracts information from the similar - structured pages by using the extraction ailes and sends the extracted results to classified cache database for users " further query

    該系統首先將web信息按模式和風格劃分為不同領域,建立領域知識庫,以便對用戶的查詢進行導航並查詢范圍;然後利用現有的搜索引擎實現關鍵查詢,利用瀏覽功能尋找感興趣的網頁,對找到的網頁根據其內容建立自定的用戶概念模式;利用概念模式對網頁進行標記,使概念模式中的欄位與網頁中的信息塊對應起來,建立對應關系並傳給學習模塊以形成抽取規則並存入規則庫;抽取模塊根據規則庫中的抽取規則進行信息抽取並將抽取到的信息按用戶定的概念模式形成記錄,按領域分類存儲于cache庫中以備用戶查詢;最後,用戶利用查詢功能實現個性化查詢。
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