| || Statistical Machine Translation |
Author :Mukesh;Vatsa, G.S.;Joshi, Nikita;Goswami, Sumit
Source: DESIDOC Journal of Library and Information Technology :30(4) ; 2010 ; pp.25-32
Abstract : Statistical Machine Translation (SMT) systems are based on bilingual sentence aligned data. The quality of translation depends on the data provided for translation learning. A huge parallel corpus is required for performing the statistical machine translation. The aim of this paper is to explore SMT using the Moses toolkit for creating a German-English translator. To perform the German to English translation, a parallel corpus of this language pair has been provided. Larger the size of the data provided for the training of the Moses decoder, more accurate is the translated output.
Keywords : Statistical machine translation;machine learning;natural language processing;bilingual corpus