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ChamDoc dataset for text line segmentation

Textual Search Engine Infrastructure based on ElasticSearch (https://www.elastic.co/fr/elasticsearch/) and Lucene (https://lucene.apache.org/). Includes the import scripts to load datasets into the index.

This software enables to damage texts written in any natural language by applying OCR degradation (phantom characters, character degradation, etc.) and by over-segmenting texts (this means splitting regularly the texts in equal parts).

This is useful to reproduce common errors found in historical documents when historical data is missing.

This software is used to compute TF IDF weighting from texts that are based on the document_tracking_resources format. Vectors and weightings are computed thanks to a resource file that contains a representation of the language used in the same context as the text to weight (news features to weight texts published in the news).

Learning Management Systems like Moodle generate detailed logs from student interactions, offering significant potential for learning analytics and educational process mining. However, raw logs capture interaction-based actions rather than actual learning processes, limiting their pedagogical relevance. To address this, we developed Moodle2EventLog, a tool that automates the cleaning, preprocessing, and semantic enrichment of Moodle logs. The tool operates in two modules: the first cleans and structures logs by generating event logs with key elements (case IDs, activities, timestamps), and the second enriches them by grouping low-level events into context-aware sub-processes and maps them to "Semantic Activities" based on Bloom’s Taxonomy.

Projet réalisé dans le cadre du cursus informatique pour la matière "Gestion de Projet". Il s'agit d'un visual novel (jeu à choix multiples) pouvant aboutir à plusieurs fins différentes en fonction des décisions prises au cours du Jeu.