自立句法學 的英文怎麼說
中文拼音 [zìlìjùfǎxué]
自立句法學
英文
autonomous syntax- 自 : Ⅰ代詞(自己) self; oneself; one s own Ⅱ副詞(自然;當然) certainly; of course; naturally; willin...
- 立 : 動1 (站) stand; remain in an erect position 2 (使豎立; 使物件的上端向上) erect; stand; set up...
- 句 : 句名詞1. [書面語] (指草木初生拳狀的幼芽) tender bud2. (姓氏) a surname
- 法 : Ⅰ名詞1 (由國家制定或認可的行為規則的總稱) law 2 (方法; 方式) way; method; mode; means 3 (標...
- 學 : Ⅰ動詞1 (學習) study; learn 2 (模仿) imitate; mimic Ⅱ名詞1 (學問) learning; knowledge 2 (學...
- 自立 : stand on one's own feet; support oneself; earn one's own living
- 法學 : law; the science of law; jurisprudence法學博士 doctor of laws; 法學概論 general jurisprudence; 法...
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This thesis is arranged as follows : in this paper we build a self - learning system for detection rules of named entity alignment using the transformation - based error - driven learning, which has succeeded in parsing
本文從以下幾個方面進行了研究: 1 .本文運用在句法分析方面取得成功的基於轉換的錯誤驅動演算法建立了一個漢英名實體詞對齊的自學習系統。After building a large corpus that has 3529 bilingual sentences which was word aligned manually, the self - learning system retrieves a large amount of rules. not only retrieving of these rules is easy to use but also the accuracy of automatic detection of named entity alignment can be raised when using these rules
在建立了一個擁有3592句手工對齊的語料庫之後,通過自學習系統獲取了大量規則,這些規則的獲取方法不僅簡單易行,更在應用於漢英名實體詞對齊中取得了很高的正確率。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。
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