mishtar

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Pre-trained Transformers for Arabic Language Understanding and Generation (Arabic BERT, Arabic GPT2, Arabic ELECTRA)

pyarabic

Implementation of many Arabic NLP and CV projects. Providing real time experience using many interfaces like web, command line and notebooks.

An extensible Java framework for building event-driven applications that break up XML and non-XML data into chunks for data integration

Deep learning for AR text Vocalization - ??????? ????? ?????? ???????

A fast, lightweight and easy-to-use Python library for splitting text into semantically meaningful chunks.

A package for parsing PDFs and analyzing their content using LLMs.

The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.

A TensorFlow implementation of Neural Sequence Labeling model, which is able to tackle sequence labeling tasks such as POS Tagging, Chunking, NER, Punctuation Restoration and etc.