Due to the emergence of multiple language support on
the Internet, machine translation (MT) technologies are
indispensable to the communication between speakers using
different languages. Recent research works have started to
explore tree-based machine translation systems with syntactical
and morphological information. This work aims the development
of Syntactic Based Machine Translation from English to
Malayalam by adding different case information during
translation. The system identifies general rules for various
sentence patterns in English. These rules are generated using the
Parts Of Speech (POS) tag information of the texts. Word
Reordering based on the Syntax Tree is used to improve the
translation quality of the system. The system used Bilingual
English –Malayalam dictionary for translation.
Description:
2012 International Conference on Data Science & Engineering (ICDSE)