🤯 Did You Know (click to read)
Multilingual BERT (mBERT) can perform zero-shot cross-lingual tasks without task-specific training in every language.
BERT has been pretrained on multilingual corpora, allowing it to generate contextual embeddings for over 100 languages. This bidirectional encoding captures semantic and syntactic meaning across diverse languages, enabling tasks like multilingual question answering, translation, and text classification.
💥 Impact (click to read)
Multilingual capabilities allow BERT to power AI systems that serve global audiences, improving accessibility and usability in cross-lingual applications.
For users, BERT can process and respond in multiple languages accurately. The irony is that understanding emerges statistically, not through comprehension.
Source
Devlin et al., 2018, BERT: Pre-training of Deep Bidirectional Transformers
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