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GALACTIC framework io data plugin

GALACTIC core framework

This competition proposes to improve / denoise OCR-ed texts, on a testbed of more than 20 million characters form English, French, German, Finish, Spanish, Dutch, Czech, Bulgarian, Slovak and Polish.

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.

Codes to implement regularized multilevel regression with post-stratification in the context of bycatch estimation

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This is useful to reproduce common errors found in historical documents when historical data is missing.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

A yaml data reader for GALACTIC

A text data reader for GALACTIC.