International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 63 - Number 22 |
Year of Publication: 2013 |
Authors: S. Suganthi, P. Bama Ruckmani, K. G. Srinivasagan, M. Saravanan |
10.5120/10769-5753 |
S. Suganthi, P. Bama Ruckmani, K. G. Srinivasagan, M. Saravanan . Rule based Approach for Prepositional Phrase Attachment in English-Tamil Translation. International Journal of Computer Applications. 63, 22 ( February 2013), 38-42. DOI=10.5120/10769-5753
This paper mainly under the field of Natural Language Processing (NLP). Machine Translation is a major application area under NLP. The main aim of this work is to improving the translation quality especially in English-Tamil. There are so many researchers are already developed their work in this field. But the human expectation is not yet achieved. So the translation research is still exist. While translating English-Tamil translation prepositional phrase attachment and orthographic errors are the major issues. Different kinds of prepositions are used quite normally in English, in context of Tamil translation focusing towards English prepositions alone. Always English prepositions are treated as postposition in Tamil. Place the postposition is based on 'time, place, direction, context'. In some context different preposition may promote unique meaning, in such scenarios the Word Sense Ambiguation problem may arise. To resolve the Word Sense Ambiguation and word reordering, an algorithm called "Prepositional Phrase Attachment" is proposed. This system handles the frequently used prepositions such as "of, in, to, on, by, from". The correct meaning of a prepositional word is achieved through this work.