添加分句 的英文怎麼說
中文拼音 [tiānjiāfēnjù]
添加分句
英文
additive clause-
Statement to the top of the declarations section of your class module, above the
語句添加到類模塊聲明部分的頂部,在The purpose of lexical analysis is to identify the words in the sentence and mark them with the syntactic tagging such as part of speech, and semantic tagging
詞法分析的目的是找出句子中的各個詞,進而給這些詞添加上句法范疇標記乃至語義范疇標記。The alter index statement can be used to rebuild an index part of a constraint definition ; the constraint does not have to be dropped and added again with alter table
Alter index語句可用於重新生成約束定義的索引部分;而不必再使用alter table來刪除和添加約束。The advantage to this method is that you do not need to add a separate using statement to every file that references a given assembly
此方法的優點是:不需要將# using語句分別添加到引用給定程序集的每個文件。The formations of the new words disscussed here are as follows : abbreviation, a new word is formed by abbr eviating the initials of some words or phrases ; combination, a new word is constit uted by combining some old words or part of the old words ; meaning addition, a new word comes into being by keeping the form of an old word but with a novel and d ifferent meaning ; extention, a new word is made by taking the form of an old word and having its meaning extended
這些詞匯的構成方法有以下幾種:縮略法,由一句話或短語中每個詞的首字母縮寫而成;結合法,由舊有的單詞或單詞的一部分重新組合而成;添義法,舊有單詞詞形保持不變,增添新的含義;引申法,詞形保持不變,詞義在原有基礎上加以引申。Now, icent system can analyze sentences with the context knowledge in ccm. icent has three sub - systems to process temporal information, subject ellipsis and the definiteness of chinese noun phrase. it can deal with the problems of english verb tense generation, subject ellipsis generation and the definite article generation in chinese - english machine translation
原有系統主要以單句為對象進行句法分析和語義分析,擴充后的icent系統可對漢語句子進行上下文分析,其上下文分析分為三個子系統:時間信息分析子系統、主語省略處理子系統和名詞短語定指判定子系統,主要解決英語動詞時態的生成、省略主語的確定和定冠詞的添加等問題。Then each statement in an init method is added to a statement collection grouped according to its left - hand side, so all statements assigning or operating on a particular variable are grouped under that variable
這樣, init方法中的每個語句便會添加到根據其左側內容分組的語句集合中,因此,針對特定變量的所有賦值語句或運算語句均在該變量下分組。分享友人