Interactive English to Urdu Machine Translation using Example-Based Approach

This work is first attempt towards English to Urdu Machine Translation (MT) using example based approach. We have developed an interactive MT system to facilitate the user to customize the translation to his needs, thereby improving the performance of the translation. Our MT system supports idioms, homographs, and some other features in addition to the ability of the bilingual corpus to evolve. In the end, we compare the features of the MT system developed by the center for research in Urdu Language Processing (CRULP) with those of our MT system.