The team, led by Dr. Avi Shmidman at Bar Ilan University, is developing various Natural Language Processing (NLP) tools. These tools have a dual purpose: to correct and enhance automatic texts produced by eScriptorium, and to provide extensive support to scholars in their analysis, processing, and search within textual data. These algorithms encompass post-HTR correction, code-switching facilitation, parallel text alignment, semantic analysis, morphological analysis, and syntactic analysis. These multifaceted NLP tools serve to augment the precision, interpretability, and usability of textual data within scholarly contexts.