MirasText

Polish RoBERTA model trained on Polish literature, Wikipedia, and Oscar. The major assumption is that quality text will give a good model.

This is a german text corpus from Wikipedia. It is cleaned, preprocessed and sentence splitted. It's purpose is to train NLP embeddings like fastText or ELMo Deep contextualized word representations.

This is the distribution point for the NUS SMS Corpus as described and updated from This is a corpus of SMS (Short Message Service) messages collected for research at the Department of Computer Science at the National University of Singapore. This dataset consists of 67,093 SMS messages taken from the corpus on Mar 9, 2015. The messages largely …

A project that extracts Honkai: Star Rail text corpus

AsoSoft Text Corpus is the first large scale text corpus for the Kurdish language.

Statistical text analysis and semantic networks with Python

Yeezy Taught Me Text Generation. Training next character predictions RNN LSTM model with user input text corpus

Command-line corpus tools

Search a long list of names (patterns) in a large text corpus systematically and quickly

A framework for semantic text search

text corpus 📃 scraped from the scripts 💬 of all Seinfeld episodes

Text corpus the of Tlingit language for linguistic research.

Katya or The Liberated Corpus a text corpus that allows you to request and scrape any web resource!

Corpus de novelas hispanoamericanas del siglo XIX (conha19)

Crawling data from websites as text corpus

Walk through to convert WikiMedia into a text corpus

A text corpus collection for the DroppedText language.

Text Corpus Collection

A model was trained using Google handwritten Fonts using a text corpus containing only digits ranging from 0-9. The main aim was to recognize ICR sheets from such trained data. Our model gave an accuracy of 94.6% using Tesseract Version-4.