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Command Line Tools to manipulate the document_tracking architecture. It allows to train the Miranda algorithm, to use it and the alternative one, the K-Means implementation. It also provides a tool to evaluate the results.

Implementation of algorithms to detect and track events reported in the news. It provides two alternatives, one supervised, the other unsupervised to track events in the texts.

A text data reader for GALACTIC.

Process documents in order to extract tokens, lemmas and named entities from texts. This software depends on spaCy (https://spacy.io/) in order to extract text features and recognise the inner elements.

A toml data reader for GALACTIC.

A SLF data reader from the Galicia project for GALACTIC

GALACTIC core kernel library

A JSON data reader for GALACTIC

A Python package to process and represent events from ontologies and semi-structured databases such as Wikidata and Wikipedia.

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This is useful to reproduce common errors found in historical documents when historical data is missing.