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This model is specifically optimized for **masked token prediction** within the highly specialized domains of **monetary policy**, **financial regulation**, and **macroeconomic communication**, enabling deeper contextual understanding of central banking discourse and financial narratives.
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# CentralBank-BERT: Domain-Adaptive Masked Language Model for Central Bank Communication
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**CentralBank-BERT** is a **domain-adapted masked language model** based on `bert-base-uncased`, pretrained on more than **66 million tokens** across **over 2 million sentences** extracted from **central bank speeches published by the Bank for International Settlements (1996–2024)**.
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This model is specifically optimized for **masked token prediction** within the highly specialized domains of **monetary policy**, **financial regulation**, and **macroeconomic communication**, enabling deeper contextual understanding of central banking discourse and financial narratives.
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