詞表檢索 的英文怎麼說

中文拼音 [cíbiǎojiǎnsuǒ]
詞表檢索 英文
thesaurus search
  • 詞 : 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...
  • 表 : Ⅰ名詞1 （外面;外表） outside; surface; external 2 （中表親戚） the relationship between the child...
  • 檢 : Ⅰ動詞1 （查） check up; inspect; examine 2 （約束; 檢點） restrain oneself; be careful in one s c...
  • 索 : Ⅰ名詞1 （大繩子; 大鏈子） a large rope 2 （姓氏） a surname Ⅱ動詞1 （搜尋; 尋找） search 2 （要; ...
  • 檢索 : retrieval; retrieve; search; searching
  1. Posteriori lists can also promote preciseness of retrieval. cv refines the semantic demands with cost - effective method

    后控詞表可改善用戶檢索的查全率。
  2. Because of considerable storage space and larger index database, higher rate in the full searching and the lower rate in the exact searching, the article demonstrates a new retrieval method based on the phrase list

    然後針對該演算法存在的「索引庫較大、匹配速度不高和查全率較高而查準率較低」等缺點，引入了第二種檢索方法：基於詞表的檢索方法。
  3. This method combines the rich output of function and the powerful semantic express ability of predicate and can be used to build precise and detailed ' information needs descriptions for workflow activities. this method can also be used as the request expression language for user query

    該方法吸收了函數的豐富輸出和謂詞的強大語義表達能力，用於為工作流活動建立準確、詳細的信息需求描述，同時也可以作為人工推動的信息檢索的需求表達語言。
  4. V interfaces at the digital local exchange - v5. 2 interface for the support of access network - part 3 : test suite structure and test purposes tss tp specification for the network layer an side endorsement of the english version en 300

    本標準適用於以漢語為交換語言的多語種敘詞不達意表的編制與修訂，不適用於符號化檢索語言如數字公式與化學式詞表自動標引抽詞系統以及不作規范處理的關鍵詞表。
  5. Subject lists promote the echoness of retrieval and filer the robot ' s harvesting

    主題詞表可改善檢索的效率，在信息發現中過濾信息。
  6. A concept - based approach is expected to resolve the word sense ambiguities in information retrieval and apply the semantic importance of the concepts, instead of the term frequency, to representing the contents of a document. consequently, a formalized document framework is proposed. the document framework is used to express the meaning of a document with the concepts which are expressed by high semantic importance. the framework consists of two parts : the " domain " information and the " situation background " information of a document. a document - extracting algorithm and a two - stage smoothing method are also proposed. the quantification of the similarity between the query and the document framework depends on the smoothing method. the experiments on the trec6 collection demonstrate the feasibility and effectiveness of the proposed approach in information retrieval tasks. the average recall level precision of the model using the proposed approach is about 10 ? higher than that of traditional ones

    為了獲取詞語在文章中的語義權重，解決詞語的同義、多義模糊問題，提升信息檢索的效率，提出了一種基於概念的檢索模型，模型中設計了一種形式化的文本內容表示框架，框架由2部分構成:文章的"領域"以及"情景與背景"信息，並由概念（形式化語義）加以表示.同時，提出了提取該概念框架的方法，給出了用於框架與檢索要求間匹配的兩階段平滑演算法.實驗表明，在trec6提供的小規模語料集下，採用所提出方法的信息檢索模型與傳統模型相比，平均召回準確率提升了約10 ? ，效果顯著，充分說明了基於本文描述方法構建的、以概念作為處理中介的信息檢索系統的有效性和可行性
  7. The author wants to look forward to the latest trend of development in this field by studying the theoretic and practical achievement in information retrieval language both at home and abroad in the time of internet. this paper is made up of five parts. the first part analyses the effects of information retrieval language in network condition ; the second part introduces the achievements in electronic traditional classification and the using of traditional classification in network and in information retrieval tool ; the third part introduces the achievements in electronic traditional subject and the using of traditional subject in network and in information retrieval tool ; the forth part is about natural language processing and natural language retrieval which includes basic principles of natural language processing and the using of information retrieval ; finally, the author points out that the new development of information retrieval language includes metadata and the integration of the classification - subject - natural language

    本文主要研究網路環境下信息檢索語言的發展，主要內容包括五部分：第一部分分析了網路環境對信息檢索語言的影響；第二部分是網路環境下分類檢索語言的應用，包括傳統分類法電子化及在網路上的應用，網路信息檢索工具中的應用；第三部分是網路環境下主題檢索語言的應用，包括傳統敘詞表電子化及在網路上的應用，在網路信息檢索工具中的應用；第四部分是自然語言處理與自然語言檢索，包括自然語言處理的基本原理及在信息檢索中的應用，國內外自然語言檢索進展；作者在論文最後指出，在網路環境下信息檢索語言新發展有：元數據研究；分類-主題-自然語言一體化，分析國外一體化系統實例：一體化醫學語言系統umls ，國內一體化系統實例： 《中國財經報刊數據庫》檢索系統；並指出學科?事物概念組配型檢索語言是理想發展模式。
  8. The section language model makes the improvement on the traditional statistical language model in two aspects : firstly, aimed at the situation that the conceptual base can possibly correspond to many words in language, but the words in query are merely its particular cases, this paper has introduced the correlation vocabulary table. it contains all the possible words that may correspond to each conceptual base. when constructing the language model, not only the query ’ s words are considered, but also all the words corresponding

    段語言模型對傳統的統計語言模型在兩個方面進行改進:首先針對概念基在語言中可以對應多個詞匯，而查詢語句中的詞匯僅僅是其特例的情況，本文引入了相關詞表的概念，在相關詞表中維護了每個概念基對應的所有可能的詞匯表示，在構建語言模型時不只是根據查詢語句的詞匯，而是通過查詢語句中概念基的所有相關詞匯，這就有效的提高了檢索結果的召回率。
  9. Experimental results show that the sc - vsm is superior to the vsm, the combinative approach can not only reserve the advantages of keywords retrieval and concept retrieval, but also compensate for their shortcomings

    實驗結果表明，語義概念檢索的向量空間模型的性能優于關鍵詞檢索的向量空間模型；結合檢索方法既能保留關鍵詞檢索和概念檢索的優點，也能彌補各自的不足。
  10. Enterprise product information ( epi ) metadata models of description and retrieval are designed, which are based on representation method of knowledge frame and cascade description method of product information character, so that describe the epi with a form based on keywords muster ( km ) and retrieve epi with a form based on km

    摘要採用基於知識的框架表示法和產品信息特徵的層次描述方法，設計企業中不同類型產品信息的描述元數據模型和檢索元數據模型，實現了產品生產者按照基於關鍵詞集合的方式來描述企業產品信息和客戶按照基於關鍵詞集合的方式來描述要檢索的企業產品信息。
  11. Spider downloads pages from web ; parser analyses the pages in order to set up index ; the index lists the file in a way which is easy to be searched and stores it in the index database ; the searching device realizes users calculation of inquire keyword and match degree of goal files ; user interface provides users a web page which can input inquiring request and customize inquiring results, and returns the results to browser after being formatted

    Spider從web上下載頁面;分析器對下載頁面的內容進行分析以用於建立索引;索引器將文檔表示為一種便於檢索的方式並存儲在索引數據庫中;檢索器實現用戶查詢關鍵詞和目標文檔匹配度的計算;用戶介面為用戶提供一個輸入查詢請求，定製查詢結果的web頁面並將查詢結果格式化后返回給瀏覽器。
  12. In vector space model of information retrieval, a text is represented as a weighted vector which is composed of terms weighting of the text

    摘要在信息檢索的向量空間模型中，文本被形式化表示為由詞語權重組成的向量。
  13. Comparing word sense based language model to other language models, the experiments based on the corpus of trec shows that wslm method has a better performance than the traditional td - idf method. if a more powerful word sense disambiguation tool is used, the result could be improved. in the retrieval results re - ranking part, we use a combination method which combines the retrieval results of different system by linear interpolation

    在基於詞義語言模型的信息檢索研究中，介紹了同義詞詞典的詞義表示方法，在實驗中使用trec語料把基於詞義的語言模型並與其他語言模型進行了比較，實驗表明，基於詞義的語言模型方法要好於傳統的td - idf方法，如果有更加精準的詞義消歧工具，實驗結果還會有進一步提高。
  14. Firstly, the paper introduces the main theoretics and technologies of the web information retrieval. then it applies the spider to realize the information gathering. according to characteristic of uighur language, using uighur stemming based on table searching regular and arithmetic of the combined mode, uighur text segmentation is realized ; using vector space model, the paper switches uighur text information into structured data ; and appling clustering analytical method, these structured text is clustered

    本文首先分析了web信息檢索的主要理論基礎和關鍵技術，然後利用spider信息採集技術，實現了信息檢索的源信息採集;根據維吾爾語詞的特點，利用詞干表查找的維文詞干提取演算法和結合模式的維文詞語組合演算法，對維文網頁文本進行詞特徵表示;採用向量空間模型實現文本信息的結構化表達;使用聚類分析法，對結構化文本信息進行聚類，得到文本分類結果。
  15. In chapter four, the realization of system is illustrated based on previous chapters. some function during realization is set forth, which include query expansion, association retrieval and intelligent analysis

    第四章在前幾章的基礎上，建立中醫藥信息智能檢索系統，並重點闡述若干功能的實現，包括基於詞表的擴展檢索、關聯檢索等檢索方法以及智能分析的實現。
  16. After analyzing and contrasting the advantages and disadvantages of the traditional classification, and subject with the network classification and subject, the author asserts that using corresponding network information classification, establishing vocabulary list about controlling, utilizing classified subject union to organize network information resource can improve the searching rate of present engine, extremely using dc metadata to edit the network information resource, establishing topic network also is an effective method of organizing network information resource, meanwhile, introducing in detail the resource of marc and dc

    筆者在分析對比了傳統分類法和主題法與網路分類法和主題法在組織網路信息資源的優缺點后，提出採用統一的網路信息分類法、建立后控詞表、運用分類主題一體化組織法等方法來組織網路信息資源可以極大改善現有搜索引擎的檢索效率;運用元數據法對網路信息資源進行編目，創建主題網關也是組織網路信息資源的一種有效方法，並對marc格式的元數據和dc格式的元數據加以詳細的介紹。
  17. For this demonstration, i restrict the pointers to hyponyms, which has the effect of generally finding other words that represent more specific concepts related to the search word

    本文中將指針限制為下義詞（ hyponym ） ，一般而言就是查找與檢索詞有關的表示更具體概念的其他詞匯。
  18. They are used as search words to search the corpus. the author reads each instruction carefully and evaluates three features of activities

    作者仔細閱讀檢索出的每個活動指令語，根據搜索詞表與評估框架決定該活動的認知特點以及該活動是否具有探究或者交際特點。
  19. Thesaurus should be coded with xml while classification should follow is02788 and iso5964. marc can be converted to xml / rdf. http will continue to play the main role on the protocol level while z39. 50 can be used to construct thesaurus database with zthes profile

    Xml格式用於處理和交換敘詞表信息，用marc格式來表示分類法，並建立marc和xml rdf的轉換機制。受控語言在協議層以http協議為主， z39 . 50協議通過zthes擴展構建敘詞數據庫， whois + +協議的檢索路由實現整合檢索。
  20. Li this part, the thesis first profiles semantic features of each document by employing chinese information processing technology in order to change documents into the form which can be operated with the help of mathematical methods. second, the thesis profiles each user ' s information needs by three ways : 1 ) accepting the information provided by the user himself ; 2 ) watching the user ' s retrieval action ; and 3 ) analyzing web server log. in this module, users are also classified into different categories according to their information needs

    在用戶建模中，系統從三方面獲取用戶信息需求特徵，第一，用戶主動地向系統提供需求信息；第二，系統檢測用戶檢索行為，從用戶檢索詞分析其需求；第三，系統通過分析web訪問日誌，得到用戶的興趣所在及興趣的變化狀況，並進一步利用對用戶訪問文檔內容的分析來追蹤其興趣變化，將用戶興趣同樣表示為興趣特徵向量，聚類相似用戶。
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