Title :
Translating Persian documents into English using knowledge based WSD
Author :
Saedi, Chakaveh ; Shamsfard, Mehrnoush
Author_Institution :
Sci. & Res. Branch, Islamic Azad Univ., Tehran, Iran
Abstract :
The necessity of machine translation systems is growing rapidly due to the increase of documents and translation requests. Reading web pages, news, articles, manuals and users´ guides and getting the gist of a test are some of the examples for our daily need to translation. This paper introduces a Persian to English machine translation system, named PEnT2. It uses a transfer based approach and employs the grammatical role of the sentence words as the main clue to perform the translation processes. PEnT2 translates simple Persian sentences into English using a hybrid approach. It exploits the advantages of rule based, knowledge based and corpus based methods in different components of a machine translation system including word sense disambiguation, structural transfer and structure optimization. Experiments show improved results in comparison with other available systems.
Keywords :
grammars; knowledge based systems; language translation; natural language processing; text analysis; English language; PEnT2 system; Persian document translation; corpus based method; grammatical role; knowledge based method; machine translation system; rule based method; sentence words; structural transfer; structure optimization; transfer based approach; word sense disambiguation; Optimization methods; Testing; Web pages;
Conference_Titel :
Digital Information Management, 2009. ICDIM 2009. Fourth International Conference on
Conference_Location :
Ann Arbor, MI
Print_ISBN :
978-1-4244-4253-9
Electronic_ISBN :
978-1-4244-4254-6
DOI :
10.1109/ICDIM.2009.5356770