jp-evalb: Robust Alignment-based PARSEVAL Measures

We introduce an evaluation system designed to compute PARSEVAL measures, offering a viable alternative to textttevalb commonly used for constituency parsing evaluation. The widely used textttevalb 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 textttjp-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 textttevalb 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.