# Low-resource Languages

English to Egyptian Arabic translation model fine-tuned based on Helsinki-NLP/opus-mt-tc-big-en-ar

A BERT-based named entity recognition model specifically designed to identify person names, locations, organizations, and other entities in Moroccan Arabic (Darija) texts.

This is a small random robustness model based on the wav2vec2 architecture, fine-tuned on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - AB dataset for automatic speech recognition tasks.

Zabanshenas is a Transformer-based solution for identifying the most probable language of written documents/text.

A speech language identification model fine-tuned on the common_language dataset based on facebook/wav2vec2-base

This is a Transformer-based machine translation model from Esperanto to Russian, developed by the Helsinki-NLP team.