Full　manipulation　of　XML　data　has　to　rely　on　parsing　process　before　hand.　XML　parsing　is　CPU　intensive　and　tends　to　greatly　affect　the　performance　of　XML　application　in　a　general　way.　Moreover,　parallel　computing　is　widely　introduced　to　solve　practical　problems　due　to　the　popularization　of　multi-core　computers.　It　is　a　natural　and　promising　way　to　parallelize　parsing　process.　Existing　parallel　parsing　methods　need　pre-parsing　stage　to　get　proper　data　partitions.　Unfortunately　pre-parsing　is　often　time　consuming　and　difficult　to　be　optimized.　ParaParse　presented　in　this　paper　is　a　novel　parallel　method　for　XML　parsing.　It　has　a　rather　light　weighted　data　partition　way　and　supports　parsing　arbitrarily　partitioned　XML　segments　in　parallel.　After　that　subtree　merging　is　carried　out　to　generate　global　XML　tree.　The　parsing　result　can　be　further　wrapped　for　sophisticated　XML　query.　Experiment　results　show　that　ParaParse　is　suited　to　multi-core　environment　to　realize　parallel　XML　parsing.　©　2011　IEEE.