Topic: arabert Goto Github
Some thing interesting about arabert
Some thing interesting about arabert
arabert,Many countries speak Arabic; however, each country has its own dialect, the aim of this project is to build a model that predicts the dialect given the text.
User: adelelwan24
arabert,This is an experiment for Qur'an QA for the shared task at the OSCAT workshop
User: alsalehabdullah
arabert,Pre-trained Transformers for Arabic Language Understanding and Generation (Arabic BERT, Arabic GPT2, Arabic ELECTRA)
Organization: aub-mind
Home Page: https://huggingface.co/aubmindlab
arabert,Arabic Dialect Sentimenal Analysis
User: hazemhosny
arabert,Fine-tune BERT models to classify Arabic text by different dialects.
User: lafifi-24
arabert,Arabic_Dialect_Identification_NLP-AIM-Task
User: mohamedsebaie
arabert,Fine-tuning / pre-training AraElectra on a specific domain for QA system.
User: mohammedabdalqader
arabert,
User: nassermohamedeid
arabert,Mental health diagnosis tool using NLP and ML for Arabic inputs, with a Laravel web application interface
User: nawaf-ibrahim6
arabert,Sentiment analysis with arabert in Tunisian dialect
User: nessrin1990
arabert,Diacritics are short vowels with a constant length that are spoken. The same word in the Arabic language can have different meanings and different pronunciations based on how it is diacritized. In this project, we implement a pipeline to predict the diacritic of each character in an Arabic text using Natural Language Processing techniques.
User: norhanreda
arabert,Dialectical Arabic Sentiment Analysis
User: omar-yasser
arabert,Used “aubmindlab/bert-base-arabertv2” from Aub-mind AraBERT to create a simple Arabic text tokenizer.
User: oofa99
arabert,Emotion Prediction in Arabic Text
User: theknight909
Home Page: https://fine-tuned-fjzhglbv2a-uc.a.run.app/
arabert,Simple Script to undo Farasa Segmentation, compatible with AraBERT pre-segmentation
User: wissamantoun
arabert,After collecting 40 thousand tweets and preprocessing it, I used word embeddings with arabert and tf-idf along with two neural network architectures and 5 machine learning algorithms. Due to the huge size of the dataset, I chose Amazon SageMaker to train the models
User: yassirmatrane
arabert,Arabic Dialect Identification between 18 country-level Arabic dialects using QADI dataset and pretrained language model AraBERT
User: youssefkamil
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