semantic word 中文意思是什麼

semantic word 解釋
語義字
  • semantic : adj. 語義（學）的。
  • word : n 1 單詞；〈pl 〉歌詞，臺詞。2 〈常 pl 〉談話，話，言語。3 〈不加冠詞〉音信，消息，傳言，口信；【...
  1. Discussing how a full word changes into an empty word through the intermedite semantic unit

    透過意味看漢語實詞的虛化
  2. Erya of " the thirteen classics " is the earliest monograph which gives explanation of word meaning in china and has profound influence over semantic and exegetical studies of words of later ages

    摘要「十三經」之一的《爾雅》是我國最早解釋詞義的權威著作，對後世詞義訓釋有著深遠的影響。
  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. Firstly, for the errors of text ’ character and word, utilizing neighborship of character or word, check character and word errors by character string co - occurrence probability. secondly, for the errors of syntax of text, according to statistic and analysis of a large - scale contemporary chinese corpus, recognize the predicate focus word and the others sentence ingredient, check the syntax errors. thirdly, for the errors of text ’ semanteme, establishing semantic dependency relationship tree based on hownet knowledge, presents a method that based on semantic dependency relationship analysis to compute sentence similarity, check the semantic errors

    對于文本字詞錯誤的檢查，本文主要利用了字詞二元接續關系，根據同現概率檢查文本字詞錯誤;對于文本語法錯誤的檢查，本文利用教研室已有的一個大規模語料庫，通過對語料庫進行統計分析，獲得語法查錯所需要的語言規律和知識，利用謂語中心詞識別和其他句子成分識別的方法，檢查文本語法結構上的錯誤;對于文本語義錯誤的檢查，本文主要利用知網知識得到語義依存樹，通過對句子的有效搭配對的相似度計算檢查語義錯誤。
  5. Upon this foundation, a corpus - based algorithm was designed and implemented to acquire and filter binary semantic pattern rules automatically. in the algorithm, a data mining method for cross - level association rules is adopted, which is guided by metarule, to find the semantic laws of word combinations in chinese phrase corpus. then statistic results are used to filter the findings

    在此基礎上，本文設計並實現了基於語料庫的二元語義模式規則自動挖掘和優選演算法，該演算法先採用數據挖掘中元規則制導的交叉層關聯規則挖掘方法，自動發現漢語短語熟語料庫中詞語兩兩組合的語義規律，再根據統計結果自動優選后轉換生成候選二元語義模式規則集。
  6. This book comprehensively systematically inspected chinese and english color word cuts minute on in the semantic field the similarities and differences, has enumerated chinese and english color word follows in the significance the characteristic extremely with the social history culture relation

    這本書全面系統地考察了漢語和英語顏色詞在語義場切分上的異同，列舉了漢語和英語顏色詞的伴隨意義上的特點極其與社會歷史文化的聯系。
  7. Thorough an analysis to the semantic field of erya shitian and a further comparasion to the semantic category in traditional exegtics of erya, the categorical feature of word meaning and its limitations are disclosed, the ways people in the qin and the han dynasties understand the world and categorize things are illustrated

    語義場是義位形成的系統，對《爾雅?釋天》語義場分析之後，進一步與《爾雅》傳統訓話學中語義的分類進行比較，揭示《爾雅》詞義分類的特點及其時代局限，闡釋秦漢時代人們認識事物、劃分事物類型的思維、方法及途徑。
  8. Semantic componential analysis and word translation

    語義成分分析法理論和詞語的翻譯
  9. Test result shows that compared with traditional similarity model of word frequency, the weighted semantic similarity model improves the precision obviously

    實驗表明，本文提出的基於語義樹的加權語義相似度模型與傳統的詞頻相似度模型相比，準確率有明顯提高。
  10. 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。
  11. Semantic - phonetic composition is one way of word building in chinese, but chinese is not a phonetic language

    摘要形聲是漢字的一種造字法，但漢字並不因此以表音見長。
  12. From analyzing the semantic meaning of the word " administrative " and " monopoly " and comparing various definitions on the term " administrative monopoly ", this paper defines it as the behavior of the administrative body in controlling competition by abusing executive power

    通過對「行政」及「壟斷」進行語義分析，並在對學界關于「行政壟斷」的幾種定義進行分析比較的基礎上，本文將行政壟斷的涵義界定為：行政壟斷是行政主體濫用行權力限制競爭的行為。
  13. 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
  14. The semantic processing of chinese ambiguous words in word - context

    詞語境中漢語歧義詞多個意義的加工過程
  15. At first system accomplishes chinese language automatic word segmentation and part - of - speech tagging through chinese input approach with word segmentation, then forms corresponding surface semantic network according to the semantic structure grammar, and finally gets corresponding data flow diagram and data dictionary according to the automatic generation algorithms of data flow diagram and data dictionary, the whole completion of the work, can not only provide a description environment of natural language for case, but also develop into the system which takes the question described on the basis of the natural language as the system ' s input

    工作的中心是自然語言篇章理解。系統首先通過分詞輸入法實現漢語自動分詞與詞性標注，然後根據語義結構文法產生相應的表層語義網路，最後根據數據流圖、數據字典自動生成演算法轉換為相應的數據流圖和數據字典。這項工作的徹底完成，不僅可以給case提供一個自然語言的描述環境，而且可進一步發展為基於自然語言描述問題作為輸入的系統。
  16. Secondly, the lexical - semantic theory into agriculture field was introduced, and the classifying system by agriculture word ' s semantic was attempted to build

    然後把詞匯語義理論引入到農業專業領域，從語義的角度對農業詞語進行統計分析，嘗試性地建立了農業詞語語義分類體系。
  17. Finally, the thesis probed how to obtain the agriculture words and related knowledge from agriculture knowledge texts by auto - extracting and artificial way and build the agriculture word knowledge database based on semantic classifying

    最後採用自動抽詞與人工過濾相結合的方式，從農業知識文本知識庫中獲取農業詞語及其相關知識，建立了一個基於語義分類的農業詞語知識庫。
  18. On noun semantic features in quot; degree word noun quot; structure

    結構中名詞語義特徵初探
  19. 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。
  20. The approach is based upon the belief that the meaning of a word can be dissected into meaning components, called semantic features

    它把詞匯分析為一個個具有區別作用的語義特徵，根據詞匯是否包含這些特徵來研究、區分詞匯意義。
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