![]() In contrast, MaSMT implements 206 agents and a manager agent to handle morphological analysis in Sinhala language. Twenty-two ordinary agents and one manager agent have been implemented to model morphological analysis of English language. This paper presents our research on the development of morphological analysis phase in MaSMT. Since there are no agent development framework specific to machine translation, our project has started by developing our own framework, MaSMT. We have been researching to exploit power of multiagent Systems technology for machine translation by extending our rule-based machine translation system, BEES. Despite there are numerous approaches to machine translations, handling of semantics has been an unsolved research challenge. ![]() Machine Translation involves multiple phases including morphological, syntax and semantic analysis of source and target languages.
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