  We introduce an evaluation system designed to compute PARSEVAL measures,
offering a viable alternative to \texttt{evalb} commonly used for constituency
parsing evaluation. The widely used \texttt{evalb} script has traditionally
been employed for evaluating the accuracy of constituency parsing results,
albeit with the requirement for consistent tokenization and sentence
boundaries. In contrast, our approach, named \texttt{jp-evalb}, is founded on
an alignment method. This method aligns sentences and words when discrepancies
arise. It aims to overcome several known issues associated with \texttt{evalb}
by utilizing the `jointly preprocessed (JP)' alignment-based method. We
introduce a more flexible and adaptive framework, ultimately contributing to a
more accurate assessment of constituency parsing performance.
