Development of a Machine Traustation System or the Basis of "Meanig From Theory"

尽管“机器翻译”的先驱们付出了大量的努力，但其结果并没有达到实际应用的要求。究其原因，似乎是语言学研究成果没有得到充分利用，特别是在翻译语义学领域。从实践的角度来看，如果不将合格翻译人员的技术和语言直觉编程，就不可能创造出好的机器翻译。到目前为止，我主要关注的是使用“理论中的意义”作为分析语言直觉的唯一方法来分析德语母语者的翻译技术和语言直觉。我将这些研究成果应用到了“基于”意义形式理论“的机器翻译系统开发”项目中，实现了更好的翻译系统。作为该项目的技术成果，我开发了一种“点排序”技术，通过该技术，可以按字母顺序列出包括德语特殊字符（例如“Umlaut”）在内的德语单词。评估我的机器翻译系统质量的最好方法是运行我为这个系统开发的软件。

Though the pioneers of "machine translation" put in a lot of effort, the results have not been up to the demands of practical usage. The reason appears to be that linguistic findings have not been used sufficiently, especially those in the field of the semantics of translation. From a practical point of view it is impossible to create good machine translation without programming the techniques and linguistic intuition of qualified translators.So far I have been mainly concerned with the analysis of translation techniques and linguistic intuitions of German native speakers by using the "meaning from theory" as virtually the only method for analysis of linguistic intuition. I applied the results of these investigations to this project, "Development of a machine translation system on the basis of 'meaning form theory'" and achieved a better translation system.To mention a technical result from the project, I have developed a "point sorting" technique by which it is possible to list German words including the German special characters (e.g. "Umlaut" ) in alphabetical order. The best way to assess the quality of my machine translation system is to run the software I developed for this system.