instadeepai/tunbert
TunBERT is the first release of a pre-trained BERT model for the Tunisian dialect using a Tunisian Common-Crawl-based dataset. TunBERT was applied to three NLP downstream tasks: Sentiment Analysis (SA), Tunisian Dialect Identification (TDI) and Reading Comprehension Question-Answering (RCQA)
This project provides pre-trained language models specifically for the Tunisian dialect, which is commonly used in daily communication and online but lacks a standardized written form. It takes text in Tunisian dialect as input and can perform tasks like identifying sentiment, recognizing the dialect, or answering questions based on the text. This is designed for researchers, natural language processing practitioners, or businesses working with Tunisian-speaking audiences.
130 stars. No commits in the last 6 months.
Use this if you need to build applications that understand, analyze, or generate text in the Tunisian dialect, such as for customer feedback, social media monitoring, or content analysis.
Not ideal if your focus is on other Arabic dialects or languages, or if you require a general-purpose language model not specific to Tunisian.
Stars
130
Forks
42
Language
Python
License
MIT
Category
Last pushed
Feb 13, 2023
Commits (30d)
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