keyword system 中文意思是什麼

keyword system 解釋
關鍵字系統
  • keyword : 分類字
  • system : n 1 體系，系統；分類法；組織；設備，裝置。2 方式；方法；作業方法。3 制度；主義。4 次序，規律。5 ...
  1. Very large data bases vldb 05, trondheim, norway, 2005, pp. 505 - 516. 8 agrawal s et al. dbxplorer : a system for keyword search over relational databases

    因此，我們提出一個分類學習和選擇候選網路的方法clascn classification ， learning and selection of candidate network來提高基於模式圖的在線數據庫關鍵詞檢索系統的查詢效率。
  2. The traditional dht - p2p system has its limitations. it can only perform single keyword search and cannot understand the meanings of users requests

    傳統的dht - p2p系統有一定的局限性，如基於單特徵詞搜索，計算機不理解用戶搜索請求的含義等。
  3. In collaboration with charity english credit system, i would flood the myenglish. cn links into every corner of english - keyword - related web pages available in major search engines in inexpensive attempts

    我將把愛詞霸，中國日報等網站視為可以建立某種合作的市場推廣平臺，在沒有得出一種可行的合作方式之前我將日思夜想。
  4. The text also believe that family enterprise is exist necessarily. with the complementarily to the system of the enterprise owned by nation, the chinese family enterprise is facing a good opportunity for development. keyword : delong, family enterprise, private enterprise, enterprise culture, development model

    並認為，我國國有企業的改革邏輯是沿著機制、體制、有所制方向展開的，而家族企業在完成了資本的原始積累后，成長邏輯則是沿著所有制、體制、機制方向展開的，家族企業的成長與國有企業改革的互補，使中國家族企業又遇到了一次發展良機。
  5. The paper includes three main part. first, keyword extraction system

    論文的核心內容包含以下三部分：首先，關鍵詞提取系統介紹。
  6. The research of this paper is spread out mainly around 5 aspects : ( 1 ) the description of xmarc information theory system based on xml under network environment ; ( 2 ) the advanced design of field xmarc metadata ; ( 3 ) the foundation of k - s - c special knowledge relation by the identification " keyword + subject + category " ; ( 4 ) the establishment of xmarc theme knowledge automatic indexing and its algorithms ; ( 5 ) the research on knowledge processing method of concept retrieval and the theme classification based on xmarc

    本文主要的工作是圍繞五個方面展開的：建立網路環境下基於xml的xmarc信息描述理論體系，比較設計領域的xmarc元數據，構建以「關鍵詞+主題詞+范疇號」標識的知識關系k - s - c （ keyword - subject - category ） ，建立xmarc主題知識的標引方摘要法及其演算法，提出xmarc主題知識的分類與詞句概念檢索方法。
  7. A method that combines category - based and keyword - based concepts for a better information retrieval system is introduced. to improve document clustering, a document similarity measure based on cosine vector and keywords frequency in documents is proposed, but also with an input ontology. the ontology is domain specific and includes a list of keywords organized by degree of importance to the categories of the ontology, and by means of semantic knowledge, the ontology can improve the effects of document similarity measure and feedback of information retrieval systems. two approaches to evaluating the performance of this similarity measure and the comparison with standard cosine vector similarity measure are also described

    介紹了一種綜合各層級分類類目和對應關鍵詞來構造概念體系並用於改進信息檢索系統效果的方法.為了改進文本聚類的效果，提出了將領域知識本體和文本關鍵詞詞頻相結合的基於餘弦向量的文本相似性測度方法.該本體面向特定領域，將關鍵詞以不同權值對應于各分類類目，通過其語義知識來改進文本相似性測度以及信息檢索系統的效果.進一步給出了對基於本體的相似性測度方法進行效果評價的2種策略以及該方法與經典餘弦向量測度方法的比較結果
  8. At present, keyword extraction is an important technique used for automatic abstract, automatic classification, subject extraction, subject word extraction etc. the paper introduces a new technique of keyword extraction and key concept extraction based on web page, the design and implement of experimental system, and the application of the system in the search engine

    目前，由於計算機在自然語言理解方面還有很大的不足，關鍵詞提取是在進行文本自動摘要、文本自動分類、主題詞提取、主題提取等凡是涉及到文本信息理解的工作時，都要應用到的一項關鍵技術。本論文詳細介紹了一種基於web頁面的關鍵詞與關鍵概念提取技術及其實驗系統的設計與實現，並對該技術在搜索引擎中的應用進行了探討。
  9. This paper is mainly focus on the chinese keyword spotting for real - time application and achieving the keyword spotting system that has the good capability and can satisfy the real - time requirement. first, this paper generally introduces the framework and theory of keyword spotting

    本文的主要研究內容是面向實時應用的漢語關鍵詞檢出技術，要求實現的漢語關鍵詞檢出系統，不僅具有良好的識別性能，而且能夠滿足實時性要求，可以應用於實時環境。
  10. Scenario query expansion system can find the relevant between unmatch keyword and the concept in ontology by user s query

    場景式查詢擴充系統能將非本體論規?之關鍵字因使用者之查詢而逐漸找出與其與本體論有規?之相關概念，進而建立相對應之場景。
  11. These concepts have an impact on the result of keyword extraction system. the paper brings forward a key concept extraction technique based on the mutual information and context dependency

    從常用的n元語法入手，分析該方法存在的問題? ? n元截斷效應，提出了一種基於上下文和互信息的關鍵概念提取方法。
  12. In this thesis, we focus on the application of speaker adaption technique and speaker normalization technique in keyword spotting system for the following aspects : 1

    本文主要目的是對說話人自適應技術和說話人歸一化技術在關鍵詞識別系統中的應用進行研究和探討。
  13. Xml information retrieval syslem differs greatly from traditional information retrieval system in the construction of both inverted text index and structural index, the evaluation of both keyword based query and structure based query, and the effects of structural information on result relevance ranking

    Xml信息檢索系統與傳統的信息檢索系統不同，主要體現在：建立索引時不僅需要建立倒排文本索引，還需要建立結構信息索引；查詢處理時不僅需要處理關鍵字查詢條件，還需要處理結構化查詢條件。
  14. A multi - keyword matching algorithm of information audit system

    一種信息審計系統中的多關鍵字匹配演算法
  15. In the application example of the model, a double monitor system platform is implemented, it monitors from two different views of operation screen of terminals - monitored and operation network packets, and implements a searching and locating module aiming at two different collecting data. the searching module provides a keyword searching algorithm about one dynamic character data of the operation picture, and improves the algorithm from getting string and choosing appropriate string matching algorithm. the locating module associates the two collecting data by localizer, which reappears the trade process of the terminals by focused operation data

    在該監控系統模型的應用實例中，實現了一個雙監控系統平臺，從受控終端的操作畫面和業務網路數據包兩個不同的角度進行監控，並針對監控系統採集的兩類不同數據特點，實現了一個搜索定位模塊，其中搜索模塊針對終端畫面動態字元數據，提出了一種動態字元的關鍵字搜索演算法，並從文本串的獲取和字元串匹配演算法的選取兩方面對演算法進行改進，定位模塊通過一個定位器實現了兩類採集數據的關聯，即通過關注的業務數據可以再現現場的終端操作交易過程。
  16. A method that combines category - based and keyword - based concepts for a better information retrieval system is introduced

    摘要介紹了一種綜合各層級分類類目和對應關鍵詞來構造概念體系並用於改進信息檢索系統效果的方法。
  17. A baseline system of keyword spotting based on continue hidden markov model ( chmm ) is constructed

    研究的主要內容包括: 1 .基於連續隱馬爾可夫模型（ chmm ）框架的非特定人關鍵詞識別基線系統的構建。
  18. Secondly, we realize a keyword spotting baseline system. but the speed of recognition of this system can not satisfy the real - time requirement. then, we improve the system for real - time application from two aspects

    其次，實現一個關鍵詞檢出基線系統，利用863語料庫離線訓練模型庫，並使用令牌傳遞（ tokenpassing ）演算法實現在線識別部分，但該系統的識別速度不能達到實時性要求。
  19. We discuss the design of baseline system in detail, which includes speech pretreatment, feature extract, acoustic models establishing and training, keyword detection, and keyword verification, etc. also we evaluate the baseline system and bring forward the necessity of adding adaption module in baseline system

    探討了構建此系統所涉及到語音預處理、特徵參數提取、聲學層模型的建立與訓練、關鍵詞檢出、關鍵詞確認等內容。並對基線系統進行了評價，提出了在基線系統中加入自適應模塊的必要性。
  20. Abstract this paper introduces the status of the digital reference book system in the university library and systematically explains the distributing problem of the teaching resource. based on the problem mentioned above, the paper introduces a system, which can cluster and reconstruct the search result through the technology of the keyword index

    摘要簡要介紹數字圖書館中教學參考書系統的應用現狀，並就其中數字教學資源分佈零散的問題，提出一種通過關鍵詞索引技術，能夠對文本教學資源進行檢索，然後將相關聯的結果聚類重組之後集中呈現的系統。
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