語義樹 的英文怎麼說
中文拼音 [yǔyìshù]
語義樹
英文
semantic tree-
A sentence of a grammar is ambiguous if there exists two syntax trees for it.
如果一文法的句子存在兩個語法樹，那麼該句子是二義性的。His special fields are lexicology, semantics, discourse analysis, corpus linguistics and now he is also specialized in the research and design of extensive multi - media english teaching packages and distance learning
鄭樹棠教授主要研究方向為詞匯學、語義學、語篇分析和語料庫語言學，現在他從事多媒體英語教學課件的研究與設計。If a sentential form is ambiguous, then it has more than one syntax tree and therefore, in general, more than one handle.
如果句型是二義性的，那末，它不只有一棵語法樹，因此，一般地說，也不只有一個句柄。According to the program structure of ansi c, some syntax - tree - nodes are designed in front - end, including function, block, data structure, type, expression, identifier and so on. syntax tree is divided into three levels, namely program level, function level and block level, which are useful for analysis of syntax and semantic in compiler as well as transferring syntax tree into rtl. retargetable compiler mainly includes intermediate representation, machine description and interface technique between compiler and machine description
編譯前端的實現技術包括詞法分析、語法語義分析和中間代碼生成技術等，針對ansic的程序結構，分別設計了函數、塊、數據結構、類型、表達式、標識符等語法樹結點，並將語法樹分成編譯層次、函數聲明和塊三個不同層次，使語法樹具有清晰的層次結構，有利於編譯程序的語法和語義分析，以及從語法樹到rtl中間表示的轉換。Aiming at this problem, the main research issues and achievements in this paper are as follows : bi - directional data transformation between rdb and xml with semantic constraints preserved for most of existing researches on static data transformation between xml and rdb, dtd is taken as the schema description language for xml, and the semantic constraints are often lost during the transformation process. to overcome these disadvantages, the author adopts xml - schema, a standard schema description language proposed by w3c to replace dtd, as the description method owing to its more powerful functions than dtd, and of course with the syntax much more complicated. after analyzing the constraints characteristics in both xml - schema and relational schema, a semantic constraints - preserved algorithm is proposed which can realize the bi - directional schema mapping between rdb and xml through a formalized description of xml based on regular tree and a general expression for relational schema based on direct graph approach
保留語義約束的xml與rdb雙向靜態數據轉換技術現有研究大多採用dtd （ documenttypedefinition ，文檔類型定義）作為xml的模式描述語言，並且在模式映射過程中丟失語義約束信息，本文分析了xml - schema （ xml - schema採用與dtd完全不同的語法，數據描述能力更強同時也更為復雜，已被w3c確定為替代dtd作為xml模式描述語言的標準）及關系模式的語義約束特徵，通過基於正則樹的xml形式化描述方法以及基於有向圖的一般關系模式表示方法的研究，建立保留語義約束的xml - schema與關系模式的雙向模式映射演算法，實現了xml與rdb的雙向數據轉換，較好地解決了xml與rdb在靜態數據轉換層面的數據集成問題，可有效滿足企業大量rdb數據面向xml的發布以及與日俱增的xml數據存入rdb的應用需求。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。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。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。An abstract syntax tree is built after syntax analysis and traversed three times to do semantic analysis to generate the intermediate code
在語法分析、語義分析及中間代碼生成方面，先經過語法分析建立抽象語法樹，然後對抽象語法樹進行三次遍歷完成語義分析並生成中間代碼。Just as most of the natural language process technologies, the methods of ner have two classes, statistic - based and rule - based. considering of the limitation of using only one of the methods, we combined both of the methods to recognize named entity in this thesis. we combined the maching learning with ner to make the system get the ability of self - learning. we have done research on decision tree of maching learning mainly and designed a recognize model to recognize named entity. this model first used the probability and statistic way to extract the potential named entities, and then some context linguistic language information are employed in the model to recognize the named entities furtherly. as the wrong entites are denied, the recongnize effect has been improved
鑒于單獨採用基於統計方法或基於規則方法的缺陷，在這篇論文中，採用了統計與規則相結合的方法來識別命名實體。為了使系統具有學習能力，我們把機器學習方法應用於中文命名實體的識別，這里我們著重研究了機器學習中的決策樹方法在中文命名實體識別中的應用;設計了一種基於決策樹的識別模式，該模式首先利用概率統計方法，在文本中盡量完備地識別出潛在的命名實體，然後利用潛在命名實體相關的上下文詞法、語法和語義特徵作為屬性構建決策樹，否定不正確的實體，進一步提高了命名實體識別的準確率。Existent automatic grading model of programs can not deal with the programs with structural body. in this paper, we study the syntax and concept of structural body based on an existed model, and improve the original model in the following aspects : increasing the middle representation form of structural body in analysis of morphology and syntax and system dependence graph and abstract syntax tree, adding standardization rules, mainly including type definition, nesting structure, initialization, function invocation, renaming and sequence of program sentence, besides standardization rules of bit operation and program with enumeration, enhancing the function of inspecting syntax error and improving matching strategies
本文在原有的編程題自動評分模型的基礎上，對結構體的語法結構和實現原理進行研究，並在以下幾個方面完善原有模型:在詞法和語法分析、程序的系統依賴圖建立和抽象語法樹生成三個方面增加結構體類型的中間表示形式;擴充程序的標準化規則，主要包括類型定義標準化、結構體嵌套結構標準化、結構體初始化的標準化、結構體作為函數參數時函數調用標準化、結構體變量名稱標準化、結構體語句排列順序標準化等等;另外，還增加了位運算標準化、枚舉標準化以及文件的處理;增強學生程序中語法錯誤的檢測和改進程序匹配策略。Different from other researches, autoore uses the proposed java semantic model as input data, and gives a tree - liked, hierarchical structured and semantic cluster set. the clustering method is based on a minimum spanning tree that represents the software system. the clustering objective function is designed according to the software modularization metric and cognition psychology theory
抽象是autoore的核心，它首次採用對象系統的語義關系抽取數據為輸入，利用基於mst表示的、聚集目標結合了程序認知心理學理論的軟體聚集方法，得到一個具有豐富語義的、組織為樹狀的、分層的聚集集合。But semantically, the object is also special in utilizing an inheritance tree for method resolution
但是從語義上說，對象的特殊之處還在於利用繼承樹來進行方法解析。The framework suppose that the image ' s semantic feature can be expressed by using a multi - level attribute tree, and the probability of a certain image having a certain attribute can be estimated by interpolation method using the neighboring image ' s value. here, the neighboring relation refers to the neighboring in the low - level feature space
該框架假定圖像的語義特徵可用多層屬性樹來近似表示，並且圖像擁有某個屬性的概率值可由相鄰的圖像的概率值進行插值估計，框架中的相鄰指圖像在底層特徵空間的相鄰。This paper uses quadri - tuple to describe semantics contained in information. based on this kind of expression, a tree - like semantic inconsistency detection method is proposed in it
在此基礎上，針對模型中語義不一致檢測和語義調解的工作，提出了樹型的語義檢測方法。At the same time, conceptual dependency trees of ' time " and " location " are set up which will be the base of semantic analysis in the mechanical domain
同時根據領域知識建立了「時間」 、 「處所」等概念樹作為基於機械領域的語義分析的基礎。Thirdly, by introducing fuzzy theory into system evaluation, evaluating student, teaching, course resource, and function of whole system. fourthly, making use of learning from examples based on information theory, machine learning algorithm is improved and machine learning decision tree is realized. finally, on reasoning mechanism, combining means of two classes reasoning is taken
第三，在系統評價中引入了模糊理論，對學生、教學、課程資源以及系統的整體功能進行了評價；第四，採用基於信息論的示例學習，改進了決策樹學習演算法，並建立了機器學習決策樹；第五，在推理機制上，採取兩級推理相結合的方法進行推理，即用基於語義網路的模糊推理確定教學序列，用基於產生式規則的推理確定教學方法，並給出了詳細的推理演算法。This paper has a further study on the key technology called validity maintenance mechanism in semantic feature modeling in order to maintain the intent of designers and satisfy them. the method combines geometry model and semantic feature modeling, setting up new feature representation 、 cell element naming and identification method. in the meantime, a history - independence interactive feature boundary re - evaluation algorithm is presented based on feature editing. moreover, the validity recovery mechanism after invalid feature operation can maintain the original feature model. the above ideas have been realized on hust - caid ( computer aided industry design system developed by harbin university of science and technology ) preliminarily
為了能夠正確地維護設計者的設計意圖和滿足用戶的需求，本文在原有造型的基礎上對語義特徵造型中的關鍵技術即有效性維護機制進行深入的研究，將幾何模型，語義特徵模型結合起來統一進行研究，建立了語義特徵造型在產品模型設計過程中特徵表示方法的新理論、細胞元素命名方法和辨別機制，同時對系統原有特徵編輯過程進行了研究，提出了獨立於歷程樹的特徵邊界重構演算法以及模型操作無效時的有效性恢復方法。Trees are the underlying abstraction - the infoset - of xml ; but the abstract information takes a specific semantic form
樹是xml的底層抽象infoset ，但是抽象信息採用特殊的語義形式。The schema, which described the text structure of operation document, is realized by atn. the rules in the sentence aggregation are described in the production way. sentence structure classes and resource trees are adopted to depict syntax structure of sentences, which have similar semanteme
利用schema描述文書文本結構，並用atn來實現schema ；用產生式方法描述優化聚合規則，用句子結構類和資源樹描述語義與句子結構的對應關系以及用復雜特徵集描述句法規則和詞匯。分享友人