Rule Based Machine translation of Complex Sentences from English to Telugu

Abstract

Machine translation is one of the most developing and research oriented topics of Computational Linguistics. Researchers aim to develop a Machine Translation system that produces high quality translation outputs with high accuracy, efficient parsing and covering maximum language pairs. Translation of complex sentences is one of the major challenges in Natural Language Processing. Our proposed approach deals with Dictionary-based Bi-Lingual (Uni-directional) machine translation. We focus on identifying the  ‘clauses’ and ‘Subordinate conjunctions’ which play an important role in simplifying and translating the complex sentences by preserving the meaning and the structure of the Source text (ST). This paper discusses the results obtained by implementing the algorithm in a machine translation system on a sample test suites.