Particle Swarm Optimization in Transliteration

Transliteration is the process of transforming a word written in a source language into a word in a target language without the aid of a resource like a bilingual dictionary. This process generates the target language word for a given source language word, but need to find the similarity between source and target words. That is, in order to check how far the generated target word is right equivalent an edit distance calculation is needed between source and target languages words. Presently there was no automated process for finding edit cost between source and target languages words. This work proposes a new Particle Swarm Optimization (PSO) algorithm which is used in the transliteration algorithm process for finding optimal cost between source and target words.