Using DM's suggestion I wrote a basic evaluation system to look at two texts and compare versification contents. You can fetch it from http://dl.thehellings.com/v11n_check.py
It requires the Sword Python bindings as well as the numpy Python library for calculation of means and standard deviations. Usage: ./v11n_check.py <source language module> <target language module> <OT|NT> Examples: $ ./v11n_check.py WHNU KJV NT $ ./v11n_check.py WLC KJV OT The script will follow the versification of the original-language text and will report any empty verses found in either text. It will then output any last-verse-in-chapter scriptures it came across that are greater than 2 standard deviations away from the mean. 2 STD is supposed to be sufficient to catch 95% of the correct values, if this method has a chance of working with this straightforward of an algorithm. Give it a look and tell me what you think. --Greg _______________________________________________ sword-devel mailing list: sword-devel@crosswire.org http://www.crosswire.org/mailman/listinfo/sword-devel Instructions to unsubscribe/change your settings at above page
