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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.

Resources and Python API to manipulate datasets of news documents. It manipulates data in the .pickle format with the help of pandas and numpy. It can perform operations on the datasets.

GALACTIC helpers core library

Transcriptions of the French PARES dataset (originally coming from a unique .ods file, split in .csv files)

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A text data reader for GALACTIC.

Projet Open Source de visualisation interactive du registre des traitements de l'agglomération de La Rochelle.

This software is used to compute dense vectorisations (sentence embeddings) of sequences of sentences of natural text. It is able to handle multilingual documents until the model used is a multilingual one. This relies on the S-BERT architecture, software and models (https://www.sbert.net/). It computes dense vector representations for tokens, lemmas, entities, etc. of your datasets.