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Gigabert V3 Arabic And English

Developed by lanwuwei
GigaBERT-v3 is a bilingual BERT model customized for English and Arabic, pre-trained on a large-scale corpus, and excels in information extraction tasks.
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Release Time : 3/2/2022

Model Overview

GigaBERT-v3 is a bilingual BERT model specifically designed for English and Arabic. Through large-scale corpus pre-training, it achieves optimal zero-shot transfer performance from English to Arabic in information extraction tasks.

Model Features

Bilingual Support
A bilingual model specifically designed for English and Arabic, supporting information processing in both languages.
Large-scale Pre-training
Pre-trained on a large-scale corpus of approximately 10 billion tokens (Gigaword+Oscar+Wikipedia).
Zero-shot Transfer
Achieves optimal zero-shot transfer performance from English to Arabic in information extraction tasks.

Model Capabilities

Information extraction
Text classification
Named entity recognition

Use Cases

Natural Language Processing
Cross-language Information Extraction
Extract key information from English and Arabic texts.
Achieves optimal zero-shot transfer performance from English to Arabic.
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