模型語句 的英文怎麼說
中文拼音 [móxíngyǔjù]
模型語句
英文
model statement-
The fug model, sfg model and statistical probability model are set up. fug model uses the complex feature set. sfg model stresses the selection of character net. while probability model bases on corpus
Fug模型採用復雜特徵集和合一運算來生成句子; sfg模型強調特徵網路的選擇來生成句子;概率模型依據大量的訓練語料來生成文本。To produce assembler language statements from the model statements of a macro definition when the definition is called by a macroinstruction
當用宏指令調用定義時,從宏定義的模型語句中產生匯編語言語句。Abstract : for a precise dataflow analysis within the framework of the computation function model, the logical relationship of branch conditions is represented as the coverage relationship of regions. in this paper, the authors discuss how to represent, compute and propagate the region, region of the conditional reference. meanwhile, the methods of resolving the nondeterminism caused by conditional branch statements are also presented in order to get more precise dataflow information
文摘:用計算函數模型進行精確的數據流分析,條件謂詞之間的邏輯關系被轉化為空間區域之間的覆蓋關系.該文討論在各種常見的程序構造下如何表示、計算和傳遞區域、區域,並在數據流分析過程中,利用區域、區域之間的覆蓋關系消除條件分支語句帶來的不確定性,以得到更精確的數據流信息The data mining extensions language provides statements that you can use to create, train, and use data mining models
數據挖掘擴展插件( dmx )語言提供了一些語句,您可以使用這些語句創建、定型和使用數據挖掘模型。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。In the research, we take the chinese clause as the object, and extract the chinese functional model ( cfm ) using systemic functional grammar as the theory to analyze the clause ' s ideational metafunction
本課題以漢語小句為研究對象,利用「系統功能文法」對小句的概念元功能進行分析,提取出「漢語功能模型」 ( cfm ) 。Note that it s also possible to add ontological statements to an existing data model, or merge an ontology model with a data model using
注意還可以將本體語句添加到現有數據模型中,或使用With the context knowledge in ccm, we research on temporal information analysis of chinese events, subject ellipsis resolution of chinese sentences and defmiteness judgment of chinese noun phrases
基於漢語上下文語境模型ccm ,本文研究了漢語事件時間信息的分析、主語省略句的處理和名詞短語的定指性判定問題。The former makes and realizes the aggregation rules with the representation of schema and rst. the later determines the place of semantic components, which identify the content. in the sentence. 6
制定和實現了schema表示下和rst表示下的優化聚合規則;語言處理模型確定了標識句子內容的語義成分在句子中的位置。Many approaches developed offer approximation solutions, including principle - based, such as purely syntactic ones, semantic and pragmatic ones, and statistics - based ones. in this paper, we put forward a modal to resolve anaphora ( including empty pronoun ) based on the characteristics of chinese. in this method, we apply some corresponding rules on the sentences after their patterns distinguished in the text, then analyze the semantic relation of the components of the sentence and form a corresponding semantic network, get rid of some candidates according to the co - constrain of the nodes in that network, put every component which refers to people into forward - looking centers, ordered by their semantic role, ascertain the hierarchy of sentences, analyze the transition types resulted by the scheme of different resolutions, finally, choice the most possible scheme of resolution according to the precedence of the types
本文針對漢語的特點建立了一個包括零代詞在內的代詞消解模型:在語義結構文法思想的指導下,對文本中的句子模式識別后,採用相應的規則式,然後分析句中成分之間的表層語義條件並產生相應的語義網路,利用語義網路中結點間的相互約束對代詞的某些候選先行詞進行排除,並且把每句中指人的語言成分放到前向中心列表中,以它們所充當的語義成分為排序依據,確定句子的層次結構,最後依據中心理論分析每個候選先行詞對代詞的不同消解所造成的層次相鄰的句子之間的過渡類型,利用過渡類型的優先順序對代詞的候選先行詞進行擇優。It provides a core data model and a very rich set of functions and primitives for flexible query
然而,知識管理的大多數有用之處在於操縱rdf語句的抽象模型,而不是個別序列化文件。The main research works and specific contributions found in this thesis covers the following aspects : 1. an appropriate data model for xml - based semistructured data is required before a dbms can be built
本文反映了作者自1999年以來的主要研究成果,包括以下內容:一、在基於xml的半結構數據模型的研究上,首先提出了一種類lisp語言的半結構數據的句法描述形式。The competition model sees sentence processing as form - function mapping as a result of the interaction of syntactic and semantic cues
摘要競爭模型認為,句子理解是句法、語義信息相互作用而產生的形式功能投射。The section language model makes the improvement on the traditional statistical language model in two aspects : firstly, aimed at the situation that the conceptual base can possibly correspond to many words in language, but the words in query are merely its particular cases, this paper has introduced the correlation vocabulary table. it contains all the possible words that may correspond to each conceptual base. when constructing the language model, not only the query ’ s words are considered, but also all the words corresponding
段語言模型對傳統的統計語言模型在兩個方面進行改進:首先針對概念基在語言中可以對應多個詞匯,而查詢語句中的詞匯僅僅是其特例的情況,本文引入了相關詞表的概念,在相關詞表中維護了每個概念基對應的所有可能的詞匯表示,在構建語言模型時不只是根據查詢語句的詞匯,而是通過查詢語句中概念基的所有相關詞匯,這就有效的提高了檢索結果的召回率。To realize multi - strategy translation mechanism, process lexicon database, process model database, translation memory database and process sentence snippet database are established. to solve the disadvantage of searching example process sentences slowly, a novel method which associates key word with sentence model is put forward to establish coarse choosing model marshal. a mathematics model to compute similarity of two sentences is brought forward too
2 、針對工藝語言多策略翻譯機制,設計了相應的四個翻譯基礎庫? ?工藝詞典庫、工藝語句模板庫、翻譯記憶庫和工藝語句片段庫;針對工藝實例語句匹配搜索慢的缺點,提出了一種基於關鍵詞和句型相結合的粗選實例模式集;提出了一個計算語句相似度的計算模型,該模型從總體和微觀兩個方面與從詞匯、詞性、詞性子類和語言片段四個層次來綜合考慮語句相似度問題。Based on the cfm, we describes a cfm driven semantics analyzing algorithm, it analyzes chinese clause for semantics, using semantic analyzing as primary one, and syntax analyzing as secondary one : firstly, it estimate the clause ' s semantic mode by looking through the words appearing in the clause ; secondly, it analyzes the functional components in the clause, using the restriction in the semantic mode ; finally, it constructs the semantics of clause using the semantic modes as the framework
在cfm的基礎上,我們提出了「 cfm模型驅動的語義分析演算法」 ,它是以語義分析為主、語法分析為輔的小句語義分析方法。該方法由下列步驟組成:首先根據小句中出現的詞所映射的概念,形成候選語義模式集;然後利用候選模式的「功能組成約束」分析小句的功能組成,其中需要利用語義詞典中的語法結構進行語法分析;判斷各功能組成是否滿足約束;對滿足約束的結果構造以cfm中「語義模式」為框架的小句語義表示。On the foundation of pretreatment of language c subject, analyzing three existing similarity model and designing the similarity model of language c subject ; through the introduction of hownet ’ s structure and administrative levels and primitive ’ s similarity method, achieving semantic similarity method of words based on hownet, than advancing semantic similar as hownet to solve the similarity of domain words which are not embodied in hownet ; ulteriorly, through researching existing sentence similarity model and combining it with idiographic subjects, achieving the senntence similarity model towards language c subject library ; finally telling of the similarity model arithmetic ’ s application in language c subject library, then analyzing and estimating the effect of it in order to advance the shortage and expanding direction
在對c語言試題進行預處理的基礎上,分析了現有的三種相似度模型,並設計了c語言試題相似度模型;通過對知網的結構、層次關系以及知網中義原的相似度模型的介紹,實現了基於知網的詞的語義相似度模型,並提出用類似知網的語義詞典來解決知網中沒有收錄的領域詞匯的相似度;進一步地,通過研究現有的語句相似度模型,結合具體題目,實現了面向c語言試題庫的語句相似度模型演算法,最後具體講述了相似度演算法在c語言題庫中的應用,並對該方法的效果進行了客觀的分析和評價,以提出不足和發展方向。We present the first - ever result of applying the well - known head - driven model to the newly available ctb5. 0. compared with previous works on ctb, we achieve more promising result and narrow the performance gap between chinese parsing and english parsing
該方法以中心驅動模型為基礎,把自動獲取的語義類融入到句法分析模型中,為消解句法歧義提供語義類信息。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。An example that the control process of hydraulic servo system is simulated in matlab is presented in this paper and a set of best and lest control rules are found via comparison of the simulated results that used different fuzzy rules
本文主要討論了在電液伺服模型參考模糊自適應控制系統中,用matlab對整個系統的控制過程進行模擬,通過原系統與經過模糊控制后的系統的動態響應進行比較,找出控制效果最佳的一組模糊條件語句的方法及其應用實例。分享友人