詞法分析器 的英文怎麼說
中文拼音 [cífǎfēnxīqì]
詞法分析器
英文
analyzer- 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...
- 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...
- 分 : 分Ⅰ名詞1. (成分) component 2. (職責和權利的限度) what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] (料想) judge
- 析 : Ⅰ動詞1. (分開; 散開) divide; separate 2. (分析) analyse; dissect; resolve Ⅱ名詞(姓氏) a surname
- 器 : 名詞1. (器具) implement; utensil; ware 2. (器官) organ 3. (度量; 才能) capacity; talent 4. (姓氏) a surname
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At the same time, because general hierarchical is not good on question classification, this paper proposes a new method for chinese question hierarchical classification. this method combines the key class features with the question syntactic features to classify questions. since this method extracts the syntax features and adds syntax information into question classification, at last, the precision of the coarse classes reaches 88. 25 % and fine classes reaches 73. 15 %, respectively improves nearly ten percent than the traditional hierarchy classification, proving this method is effective
本文針對文本分類和問題分類的差別,利用依存分析提取主幹和疑問詞及其附屬成分,並結合主幹關聯詞對,採用支持向量機分類器,此方法大大減少了問題分類的噪音,突出了問題分類的主要特徵,並考慮了詞與詞之間的句法關系,取得了良好效果;同時,針對普通層次分類在問題分類上效果不理想的情況,本文提出了類別主特徵結合句法特徵的中文問題層次分類新思想,利用句法分析提取分類特徵,在問題分類中融入了句法信息,總的準確率達到大類88 . 25 %和小類73 . 15 % ,比傳統的層次分類分別提高了10個百分點,證明了此方法的有效性。On top of perl 5 is a powerful parser and lexer combination
是一個解析器與詞法分析器的強大組合。Bison is used to generate parsers ; flex is used to generate lexical analyzers
Bison用來生成語法分析器; flex用來生成詞匯分析器。The latter is the emphasis of this article. its hard core is the accidence analysis builder grammar _ lexer. mll and the syntax analysis builder grammarjpaser. mly. it transforms the fortran character string in the program, which would be processed automatic differentiation transform, into data stream of diversified syntax units
詞法分析和語法分析部分又分為輸入命令數據流以及fortran源程序數據流的詞法分析和語法分析,后一部分是本文分析的重點,它以詞法分析程序生成器grammarlexer . mll和語法分析程序生成器grammarpaser . mly為核心,將進行自動微分變換的fortran源代碼字元串變換成各類語法單位的數據流。The purpose of this paper is to study and develop a scanner generator, which is a subsystem of the ada95 - based and chinese character processed generator
本論文的研究目的是研製基於ada95 、可識別漢字的語言識別器生成器的子系統一詞法分析器生成器。In this thesis, an algorithm based on multiple features for recognition of escherichia coli promoter was proposed. firstly, word frequency method was utilized to extract the content ’ s information of a given sequence, and position weight matrix and hidden markov model were applied to analyze the information on structure, and then this information was input into a classifier
本文提出了一種基於多特徵的大腸桿菌啟動子判別演算法,即通過詞頻分析獲得序列的組成特徵,利用位置權重矩陣( pwm )和隱馬爾科夫模型( hmm )獲得序列的結構特徵,然後輸入到一個分類器中進行分類。( 2 ) the influence to classification result is highly effected by using different classifier, for example, the center - vector algorithm obtains better classification results than other two algorithms. with the character feature, the average recall is 80. 73 %, and the average precision is 82. 94 %, and with the chinese - word feature, the average recall is 83. 6 %, and the average precision is 85. 97 %. different corpuses influence the classification result. for example, the average recall is 89. 31 % and the average precision is 88. 33 %, by using the news web pages as corpus from the web site " www. sina. com. cn ", which adopt the center - vector algorithm to structure classifier and select chinese - word as feature
對三種分類器分別以字、詞為特徵進行分類測試、分析發現:使用相同的分類演算法,用詞作為特徵項,比以字作為特徵的分類效果好;用不同的演算法構造分類器對分類效果的影響很大,如中心向量演算法在字、詞特徵下的分類效果優于其他兩演算法;在以字為特徵的情況下,該演算法的平均查全率80 . 73 ,平均查準率82 . 94 ;在以詞為特徵的情況下,該演算法的平均查全率83 . 6 ,平均查準率85 . 97 ;選用語料不同對分類效果也有影響,如用新浪網( www . sina . com . cn )網頁語料進行測試,使用中心向量法分類器和詞作為特徵的情況下,平均準確率為89 . 31 ,平均查全率為88 . 33 。Last the main content of my paper work are introduced, which mainly consists of four parts. the first part is lexical analysis, and the main work is to analyze asn. 1 to get its right regular expressions
然後就闡述了本文研究的主要內容,即asn . 1翻譯器的設計與實現,主要分四個階段:第一階段為詞法分析階段,主要內容為分析asn . 1的詞法,得到正確的正規表達式。Directory of lexers and parsers
詞法分析器( lexer )和解析器的目錄。Lexical scanner based on petri net
網的詞法分析器的研究Write a lexical analyzer to process input and pass tokens to the parser
編寫一個詞法分析器來處理輸入並將標記傳遞給解析器。Rule does not use other rules to do matching, it s a safe bet it s a lexer rule, and builds parsing facilities on top
規則不使用其他規則來進行匹配時,它可以勝任一個詞法分析器規則) ,並在其上構建解析工具。Is passed through the lex utility, and produces output files in c. these file are compiled to produce an executable version of the lexical analyzer
. lex的擴展名)通過lex公用程序來傳遞,並生成c的輸出文件。這些文件被編譯為詞法分析器的可執行版本。For lexing purposes, this means that the lexer definition of an integer number, for example, can be used to build the lexer definition of a real number and a fraction
例如,對于詞法分析目的而言,這意味著可以用整數的詞法分析器定義來構建實數和分數的詞法分析器定義。The lexer is the part of our language knowledge that says " this is a sentence ; this is punctuation ; twenty - three is a single word. " the parser is the language knowledge that says " this sentence contains a verb, a subject, a few adjectives, and some pronouns. " when parsing is done, the meaningless to a computer stream of data becomes something a computer can understand
詞法分析器是我們的語言知識中識別「這是一個句子;這是標點; twenty - three是一個單一的詞」的那一部分。解析器則是識別「這個句子包含一個動詞、一個主語、一些形容詞和一些代名詞」的那一部分。在完成解析之後,沒有意義的(對計算機來說)數據流就成為了計算機可以理解的內容。This thesis presents a description of a semantic disambiguation model applied in the syntax parsing process of the machine translation system. this model uses hownet as its main semantic resource. it makes the word sense and structure disambiguation in the two ways of " binding " and " preferring "
本文提出了機器翻譯中句法分析的一種語義排歧模型,該模型以《知網》為主要語義知識源,從「制約」與「優選」兩個角度同時進行詞義及結構的排歧: 「制約」是在分析規則中對產生的結果進行約束,而「優選」則是從若干個已分析出的侯選結構中根據某種選擇原則挑出一個最優的結構。The system consists of three layers, i. e. interface language, lexical / syntactic parser, and command processor
該系統包括介面語言、詞法和語法分析器、命令處理程序三層。Simply speaking, our seo services analyze and find out the most suitable keyword phrases for your website, optimize website content and actively improve link popularity of your website. eventually, our search engine optimization service helps your website to get many high search engine ranking across search engines like yahoo, google, msn, altavista, teoma, lycos, etc. we only adopt ethical search engine optimization skills to optimize website, and you are safe to use our seo service without worrying
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