This paper presents a hybrid parallel method for XML parsing, which consists of a lightweight events partition stage, followed by an event-level parallel parsing stage, and a final post-processing stage. SIMD instructions are used to speed up the processing in the events partition stage. Software pipelined processing is achieved at stage level. The study combined event-level data parallel parsing technique and pipelined processing technique to create a hybrid parallel method. Compared to other parallel solutions, the method has the advantage of a much more efficient parallel processing with low synchronization overhead. The method is tested on a Linux machine with Intel Xeon X7560 CPU for 8 cores, and the results show the method can achieve a much higher speed up and better scalability than other software implementations done to date.