詞頻效應 的英文怎麼說

中文拼音 [cíbīnxiàoyīng]
詞頻效應 英文
effect of word frequency
  • 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...
  • 頻 : Ⅰ形容詞（次數多） frequent Ⅱ副詞（屢次） frequently; repeatedly Ⅲ名詞1 [物理學] （物體每秒鐘振動...
  • 效 : Ⅰ名詞（效果; 功用） effect; efficiency; result Ⅱ動詞1 （仿效） imitate; follow the example of 2 ...
  • 應 : 應動詞1 （回答） answer; respond to; echo 2 （滿足要求） comply with; grant 3 （順應; 適應） suit...
  • 效應 : [物理學] effect; action; influence
  1. This paper outlines some features from the perspective of the concept of prefabricated phrases and elaborates for the first time the effect advantage in regard of lexicality frequency, semanticality and context, combining mental lexicon access affecting factors

    從預制語塊的概念出發概括了預制語塊的某些特徵，同時結合影響心理詞匯提取的因素首次闡述了預制語塊所具有的詞頻、語義與語境效應優勢。
  2. 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
  3. On the base of reviewing kinds of statistical parameter, we developed a hybrid statistical technique adapted to chinese - english parallel corpora for the high - frequence content words, and adequately used dictionary information for the low - frequence content word. at last, we used the competitive linking algorithm and achieved the better result

    在詳細考察各類統計參數的基礎上，對高頻實詞提出了適合於漢英兩個不同體系語言的一種混合的統計方法，而對低頻實詞則充分利用詞典獲取對應信息，最後採用一種綜合的基於競爭鏈接的對應演算法，取得了較好的效果。
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