本文選題：機器翻譯 + 人工智能�。� 參考：《廣東商學院》2012年碩士論文

【摘要】：機器翻譯的發(fā)展從最早提出理論設想到今天已經(jīng)經(jīng)歷了六十多年的歷史了。如今主流的機器翻譯算法主要分成兩大陣營：基于規(guī)則以及基于統(tǒng)計數(shù)據(jù)的機器翻譯�；谝�(guī)則的機器翻譯核心是依賴于預先人工設置的語法規(guī)則模塊作為語法分析的憑據(jù)；而對于基于統(tǒng)計數(shù)據(jù)的機器翻譯來說，翻譯的核心就是網(wǎng)絡爬蟲的文件掃描歸類機制，以及該機制所創(chuàng)建的動態(tài)參考數(shù)據(jù)庫。也就是說，，基于規(guī)則的機器翻譯是模塊性系統(tǒng)，而基于統(tǒng)計數(shù)據(jù)的機器翻譯是基于過程類系統(tǒng)。 本論文從喬姆斯基語法的視角下闡述基于規(guī)則的機器翻譯系統(tǒng)獨特的模塊化處理優(yōu)勢以及在具體自然語言處理上的不足，并從奈達對翻譯過程的理論的視角下分析基于統(tǒng)計數(shù)據(jù)的機器翻譯系統(tǒng)的過程優(yōu)勢以及語法分析不穩(wěn)定的劣勢。本論文通過結合基于規(guī)則的翻譯系統(tǒng)的“圖書館”和“語法分析器”以及基于統(tǒng)計數(shù)據(jù)的翻譯系統(tǒng)的“爬蟲”（也稱漫游）機制來建立一個集成模塊優(yōu)勢和過程優(yōu)勢的系統(tǒng)，通過將圖書館的語法機制融入奈達的翻譯步驟來解決基于統(tǒng)計數(shù)據(jù)翻譯系統(tǒng)中的語法分析不確定性，彌補前者在自然語言處理上的不足以及后者在語法分析上的薄弱。本文最后勾勒了機器發(fā)展將來以圖書館和語法分析器為借鑒，以爬蟲建立后備資料數(shù)據(jù)的趨勢，并在系統(tǒng)和接口硬件上集成的趨勢以及展望
[Abstract]:The development of machine translation has gone through more than 60 years since it was first proposed. Nowadays, the mainstream machine translation algorithms are divided into two main camps: rule-based and statistical-based machine translation. The core of rule-based machine translation is to rely on the pre-set grammar rules module as the credentials of syntax analysis. For machine translation based on statistics, the core of translation is the file scanning and categorization mechanism of the web crawler. And the dynamic reference database created by this mechanism. That is to say, rule-based machine translation is a modular system, while statistical data based machine translation is a process-based system. From the perspective of Chomsky's grammar, this thesis expounds the unique modular processing advantages of rule-based machine translation system and its shortcomings in specific natural language processing. From the perspective of Nida's theory of translation process, this paper analyzes the process advantages of machine translation system based on statistical data and the disadvantage of unstable grammar analysis. In this paper, we combine the "library" and "parser" of the rule-based translation system and the "crawler" mechanism of the statistical data based translation system to establish a system that integrates the advantages of modules and processes. By incorporating the grammatical mechanism of library into Nida's translation steps, the uncertainty of grammatical analysis in the statistical data translation system is solved, and the deficiency of the former in natural language processing and the weakness in grammatical analysis of the latter are remedied. Finally, this paper outlines the trend of machine development in the future, using library and parser as reference, using reptile to build backup data, and integrating system and interface hardware.
【學位授予單位】：廣東商學院
【學位級別】：碩士
【學位授予年份】：2012
【分類號】：H085

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