  The readability assessment deals with estimating the level of difficulty in
reading texts.Many readability tests, which do not indicate execution
efficiency, have been applied on specific texts to measure the reading grade
level in science textbooks. In this paper, we analyze the content covered in
elementary school Turkish textbooks by employing a distributed parallel
processing framework based on popular MapReduce paradigm. We outline the
architecture of a distributed Big Data processing system which uses Hadoop for
full-text readability analysis. The readability scores of the textbooks and
system performance measurements are also given in the paper.
