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Understanding the Context

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Key Insights

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The primary types include rule-based machine translation (RBMT), statistical machine translation (SMT), and neural machine translation (NMT). RBMT relies on predefined grammar and dictionaries, SMT uses statistical patterns from bilingual corpora, while NMT employs deep learning models to capture context and produce natural-sounding translations. Current state-of-the-art systems are predominantly neural, supported by large datasets and continuous AI research.
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