This document discusses using a data-mining approach to perform word sense detection and disambiguation in biblical texts. It aims to identify the different senses of words in the Bible and disambiguate which sense each instance refers to. The approach uses multiple Bible translations linked to the original texts and groups instances based on translation word similarities through a progressive merging technique. This allows automatic identification of word senses using translation data in an efficient and objective manner to build sense dictionaries and enable refined Bible search and translation tools.