空量詞 的英文怎麼說
中文拼音 [kōngliángcí]
空量詞
英文
vacuous quantifier-
On the noun ' s meaning of space expressed by classifier
量詞對名詞空間義的表達8th joint symp. computational linguistics, nanjing, 2005, pp. 217 - 220. 54 wang j b, du c l, wang k z. study of automatic abstraction system based on natural language understanding
國內研究者探索了基於實例無指導學習方法互信息計算詞匯向量空間基於依存分析與貝葉斯分類模型結合等各種方法。Thi s paper proposes a new automatic natura1 1anguage text categorization modu1e based on concept. thi s modu1e takes howwenet as the main source of knowledge, the concepts of words as the bas ; is of text categorization. the concepts of words are reduced to sememes and the tc is performed in the classfiab1e sememe vector space ( csvs )
本文提出了一個基於概念的自然語言文本自動分類模型，該模型以《知網》為主要的概念知識源，以詞所表示的概念為分類基礎，把概念繼續分解至義原，並在可分義原組成的向量空間進行文本分類。Through the experiment, we test its feasibility. 3 、 to solve the insufficiency of the svm method, the thesis proposes another algorithm based on similarity computing for verb subcategorization acquisition, and use two different sentences similarity getting algorithms to the acquisition : vector space model and the algorithm for sentence structure similarity getting that based on word class cluster
3 、針對支持向量機方法在自動獲取性能方面的不足，探索提出了基於相似度計算的動詞次范疇獲取演算法，並分別使用了兩種不同的句子相似度獲取演算法:向量空間模型和基於詞類串句子結構相似度獲取演算法，用於動詞次范疇類獲取。It adopts genetic algorithm in schedule strategy to improve the quality of system data source, ( 2 ) the local store module to manage the web snapshot content of frequent words, this can reduce the system complexity, saves store space
它使用基於遺傳演算法的調度策略提高系統數據源的質量。 （ 2 ）本地緩存模塊用來管理高頻查詢詞對應的網頁快照內容，以降低系統的復雜度和減少系統所需的存儲空間，同時使用高速緩存來提高檢索速度。The categories of preprocessing token are : header names, identifiers, preprocessing numbers, character literals, string literals, preprocessing - op - or - punc, and single non - white - space characters that do not lexically match the other preprocessing token categories
預處理標記有以下幾類：頭名稱，標識符，預處理數字，字元文字量，字元串文字量，預處理運算符或標點，以及不符合以上詞法類型的單個非空白字元。The nominal classifier can be divided into five kinds
名量詞也可按空間性（時間性）的強弱分出5個等級。It includes 3d semantic space and constraining based problem - solving method. the 3d semantic space is built to represent the relationship between the describing semantic word and product color. then, the product color schemes with related abstract sense words is achieved and saved in database
首先採用定性和定量相結合的方法，比較各抽象語義詞匯對人心理感覺影響的差異，建立了抽象語言和色彩關聯的三維風格語義空間，為色彩信息的表示及推理奠定了基礎。The authors further explained the possible relationship between the involvement load, incidental vocabulary learning and learning efficacy, by modifying the involvement load with such different receptive tasks as reading and ouestion - answering, blank - filling after reading
在此過程中，我們採用諸如閱讀回答問題、閱讀填空等接受型任務來改變投入量，並討論投入量與詞匯附帶習得及學習成效的關系。Then it presents the design of information push service based on agent by using artificial intelligence technique. a brief introduction of each function module in this system and their internal transaction sequence are followed. the detail design and implement of key parts in each module is also given, which includes setting up user interest model with vector space model, searching information by using word segmenting and searching engine, filtering information using sorting algorithm, ordering information using pagerank algorithm
本文首先分析了傳統的信息「拉取」方式存在的主要問題以及推送技術的產生;然後結合人工智慧領域的agent技術，提出了基於agent的信息推送服務的總體設計，並簡要闡述了各功能模塊的內部處理流程和思想;接著給出了各模塊的詳細設計與實現，主要包括:利用向量空間模型（ vectorspacemodel ）建立用戶興趣模型，通過分詞並與搜索引擎協作實現信息檢索，採用分類演算法對已檢索的信息進行過濾，用pagerank演算法對信息排序。After analyzing the principle of keywords and concept retrieval, a new vector space model named sc - vsm based on the semantic concept retrieval was proposed
摘要對關鍵詞和概念檢索的原理進行分析后，提出了一種基於語義概念檢索的向量空間模型以及該模型與關鍵詞檢索結合的檢索方法。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。According to such an idea, we propose a new retrieval method that combines xpath and vector space model, named as the vector retrieval model based on xpath. secondly, we make full use of the hierarchical architecture of xml data, and analyze the structure of every document to construct a structure thesaurus, which is designed to navigate the user query and to eliminate the structural conflict
根據這一思想，作者提出了將xpath語言與傳統的向量空間模型相結合，實現基於簡單xpath路徑的向量檢索演算法來實現對xml文檔的檢索。充分利用xml文檔分類層次體系結構的特點，對于每篇xml文檔分析其文檔結構，並採用聚類學習演算法形成文檔結構類屬詞典，從而實現xml文檔查詢的導航機制和消除文檔結構的異構性。Fed up with the insipid disco of the times, youth who were short on money but rich in ingenuity created a new, dynamic art form : verbally competing and chronicling life in the ghetto by rapping poetry over a beat
那些口袋空空卻富於創新的年輕人，厭倦了當時流行的乏味的迪斯科音樂，便創造出了一種新的動感十足的藝術形式：通過配合節奏念詞的方式，在言辭上相互較量，並且記錄了貧民區的生活。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。This paper discusses the existent typical ranking technologies of term frequency count and hyperlink analysis, in virtue of vector space model, the author proposes a new ranking technique, document similarity ranking, with a basis on similarity of concept - semantic query term
對現存典型的詞頻統計排序技術和超鏈分析排序技術進行了分析，並藉助向量空間模型，提出了一種基於概念語義的查詢詞-文檔相似度排序方法。This paper researches and discusses the theory of latent semantic index, include the theory of single value decompose and word - document matrix. in this paper the author discusses the application of latent semantic index in chinese document clustering based on latent semantic index, researches and discusses vector space model, latent semantic index, electronic dictionary, word - splitting and the algorithm of k - means. this paper presents a improved structure of electronic dictionary and a improved algorithm of word - spliting
本文對潛在語義索引模型進行系統的研究和探討，包括奇異值分解等相關矩陣理論、詞-文檔矩陣等；同時本文研究和探討了潛在語義索引模型在中文文本聚類中的具體應用和實現，包括文本間相似度的度量、詞-文檔矩陣、奇異值分解的具體實現；同時本文對中文文本聚類所涉及的其他一些中文處理技術，包括向量空間模型、電子字典、切詞、 k - means聚類演算法等也進行了研究和探討。Knowledge purification is the key procedure of knowledge acquisition, and machine learning is a effective method to gain wisdom for computers, among which artificial neural network with tutor coached can learn more accurate knowledge by faint structure, and then is a perfect way to deal with misty knowledge by describing and computing intangibly. lt is hard to describe or compute the misty relation of terms and document sort with accurate way. and we can figure out misty knowledge with misty way, so the paper introduces ann into vcm to form a conjoint method vcm ann
。其中，有導師指導的人工神經網路能夠以模糊的結構學習較為精確的內容，是將模糊的知識進行模糊計算和模糊描述的理想方法。詞條項與文檔類別之間的模糊關系難以用精確的方法進行精確地描述與計算，模糊的知識用模糊的方法能得到較好的解決，因此本文將神經網路應用到信息檢索模型中，將之與向量空間模型相結合，形成了一種改進的向量空間模型vcmann 。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。Decoding algorithm plays an important role to statistical machine translation. the aim of decoding is to find the result with the highest score according to a given statistical ( translation ) model in the space of target words
解碼演算法作為統計機器翻譯的重要組成部分，基本思想就是根據統計模型，在目標語言的詞匯空間內，查找評分最高的翻譯結果，其性能直接影響著最終譯文的質量和翻譯效率。分享友人