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The paper describes an initial attempt to use Levin's verb classes for the task of preposition sense selection in English to Indian language machine translation. Two language pairs have been selected to describe the approach, English-Hindi and English- Telugu. We exploit the correspondence of verb class's semantics vis-à-vis some prepositions it takes. Results obtained from the experiments show very high performance with an overall average accuracy of 93.6% for English-Telugu language pair. When combined with previous approach, the performance increased by 6.2%.