語義距離 的英文怎麼說

中文拼音 [yǔyìjùlí]
語義距離 英文
semantic distance
  • 語 : 語動詞[書面語] （告訴） tell; inform
  • 義 : Ⅰ名詞1 （正義） justice; righteousness 2 （情誼） human ties; relationship 3 （意義） meaning; si...
  • 距 : Ⅰ名詞1 （距離） distance 2 （雄雞、雉等的腿的後面突出像腳趾的部分） spur （of a cock etc ）Ⅱ動詞...
  • 離 : Ⅰ動詞1 （離開） leave; part from; be away from; separate 2 （背離） go against 3 （缺少） dispens...
  • 語義 : semanteme; semantics
  • 距離 : 1 （相隔的長度） distance; range; gap; space; spacing; separation 2 （相距） be apart from; be aw...
  1. The experiments also bring an exceeding result of measurement to simple various meanings sentences and solecism

    從實驗中還發現，搭配距離對簡單歧義句和語法錯誤有一定判別能力。
  2. Then, after the analysis of the semantic hierarchy of rdf ( resource description framework ) resource description, we proposed a kind of rdfms ( resource description framework model and syntax ) data hierarchy clustering method based on semantic distances among data

    對于rdf資源描述進行語義層次分析，提出了基於語義距離的rdfms數據層次聚類方法，並給出了具體的演算法描述和實例。
  3. Traditional coding algorithms are based on simple n - gram models. those distant constraints and some redundancies in natural language, such as word order redundancies, semantic redundancies and syntactic redundancies, are neglected in the n - gram models. in order to find and reduce those redundancies, we need more intelligent algorithms based on more effective models

    通用無損數據編碼是數據壓縮領域的一個重要的分支，現有的無損數據編碼方法大多是基於n - gram模型的， n - gram模型忽略了自然語言中的遠距離約束和諸如詞序冗餘、語義冗餘、句法冗餘等冗餘，為了找出並減少這些冗餘，需要更有效的語言模型和更智能的演算法。
  4. First, the question answering system calculates semantic similarity by using distance between words in semantic tree and the height of semantic tree, then this system uses semantic similarity between words and the weight of word to calculate semantic similarity between users ' questions and questions in answer database

    首先，利用語義樹中詞語間的距離和語義樹的高度來計算詞語間的語義相似度，然後利用詞語間的語義相似度和詞語的權重進一步計算用戶問題與答案庫中問題間的語義相似度。
  5. Such is the power of language, that the mere placement of the words " nuclear " and " terrorism " in close proximity produces a fission of fear

    這就是語言的力量，這僅僅是就業中的"核問題"和"恐怖主義" ，在近距離產生裂變的恐懼
  6. Computation on sentence semantic distance for novelty detection

    句子語義距離計算與新穎性檢測
  7. Semantic distance effect in p

    240的語義距離效應
  8. Computation on semanticdistance between sentences incorporates wordnet with statisticalinformation. the novelty detection is treated as a binaryclassification problem : new sentence or not

    基於句子的語義距離，我們將新穎性檢測視為二元分類問題，即新的句子與非新句子。
  9. In trec2003, the authors tried an approach to novelty detectionwith semantic distance computation. the motivation is to expand asentence by introducing semantic information

    句子間語義距離的計算主要綜合了wordnet及其統計信息，從詞語synset層面開始，擴展到句子級別的計算。
  10. A new idea, assemble distance, is presented by the paper with the support of hownet and the framework of semantic distance, based on the research and analyses of the primary semantic repositories

    本文通過對現今主流語義知識庫的研究和分析，提出了以知網為支撐，以語義距離為骨架的新概念:搭配距離。
  11. The feature vector, usedin the vector space model for classification, consists of variousfactors, including the semantic distance from the sentence to the topicand the distance from the sentence to the previous relevant contextoccurring before it

    我們分類採用的特徵向量包含多種因素，其中包括當前句子到話題的語義距離以及當前句子到有效上文句子的距離。
  12. This article introduces semantic distance to depict the similitude of the corresponding attribute between two similar cases, and adopt the dark priority - ratio to get the sequence of the similitude between the new problem and the old cases

    本文引入語義距離來刻畫相似實例中兩個對應屬性之間的相似程度，採用相似優先比來描述新問題與各個舊實例之間的相似度的順序。
  13. Autonomous agents and multi - agent systems aamas 03, melbourne, australia, july 14 - 18, 2003, pp. 926 - 927. 18 klein m, bernstein a. searching services on the semantic web using process ontologies. in proc

    該方法中提出了語義距離的概念，利用了本體概念中豐富的語義關系，不僅利用了分級匹配方法中所用到的本體概念間的層次關系，還利用了本體概念間的其他二元關系如objectproperty 。
  14. In or der to im prove the index precision, the keywords of classification on im age database is used for for m ing a three - level sem a ntics network, and then a unified fra m ework for sem a ntics and feature based relevance feedback in region - based im age retrieval is described, which is experim e nted by irrelatively adjusting the keywords and the weights in the distance m easuring

    根據檢索要求，應用圖像庫的分類關鍵字建立圖像語義網路，採用一種綜合圖像中多數區域特徵的匹配策略，以及建立區域語義和低層特徵無縫結合的相關反饋檢索框架，通過不斷調整檢索關鍵字、檢索向量與距離測度中的權重系數的方法提高檢索準確度。
  15. The detailed work is as follows : 1 、 design and implement the binary - word collocation repository. firstly, give the long and near distance span dynamically to extract the candidate collocations. secondly, use several improved statistical models such as long distance collocation intensity 、 near distance collocation intensity 、 long distance collocation disperse 、 near distance collocation disperse and pinnacle to filter the candidate collocations. thirdly, filter the candidate collocations with linguistic knowledge artificially and deposit the result into the binary - collocation repository

    動態設定遠、近距離搭配窗口，統計窗口內的候選搭配詞語，然後根據改進的幾個統計模型:近距離搭配強度、遠距離搭配強度、近距離搭配離散度、遠距離搭配離散度，各個位置上的尖峰值進行候選搭配詞的初步篩選，最後根據一些語法語義知識進行進一步的篩選，得出的最終結果填寫到本文的兩詞語搭配知識庫中。
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