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Awesome GitHub RepositoriesSubword Tokenization Methods
Techniques for preparing text via subword decomposition.
Distinguishing note: Focuses on the methodology of subword tokenization.
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- google-research/bert
google-research/bert
39,869View on GitHubThis project is a transformer-based language model and natural language processing toolkit designed to generate deep contextual representations of text. By utilizing a transformer-based encoder architecture, the system processes input sequences through stacked self-attention layers to capture the semantic meaning of tokens based on their surrounding sentence structure. The model distinguishes itself through bidirectional contextual processing, which analyzes text in both directions simultaneously, and masked language modeling, which trains the system by predicting hidden tokens within a seque
Prepares raw text for machine learning models by breaking down complex words into smaller units.
Pythongooglenatural-language-processingnatural-language-understanding
