
python-recsys est une bibliothèque python pour implémenter un système de recommandation.

PyNLPl est une bibliothèque Python pour le traitement du langage naturel qui contient divers modules utiles pour des tâches de NLP courantes et moins courantes. PyNLPl peut être utilisé pour des tâches de base telles que l'extraction de n-grammes et de listes de fréquence, et pour construire un modèle de langage simple.

Stakkr est un outil de recomposition Docker qui utilise Docker Compose pour créer / maintenir facilement un ensemble de services, par exemple pour le développement web.

EasyProcess est une interface de sous-processus Python facile à utiliser.



The BLLIP Parser, also known as the Brown Laboratory for Linguistic Information Processing Parser, is a sophisticated natural language processing tool designed for syntactic parsing of English text. Developed by the Brown University's BLLIP lab, this parser utilizes statistical models to analyze and interpret sentence structures, making it highly effective for various applications in computational linguistics and language technology.Originally based on the well-regarded Charniak Parser, the BLLIP Parser has undergone significant enhancements and updates to increase its accuracy and performance. It features a rich set of tools for training new models from annotated corpora, thereby allowing customization and improvements tailored to specific language tasks or datasets.The BLLIP Parser is widely used in academic and commercial settings for tasks such as information extraction, question answering, and machine translation preprocessing. It's available for download and integration into projects, offering robust parsing capabilities that leverage advanced machine learning techniques.