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BPE
Tokenization
Text Compression

Could you explain the concept of Byte Pair Encoding (BPE) in natural language processing? Describe how BPE works as a subword tokenization technique, including the process of merging byte pairs, handling out-of-vocabulary words, and its application in text compression and language modeling. Additionally, discuss the trade-offs associated with using BPE compared to other tokenization methods and its effectiveness in capturing morphological variations and handling rare words in different languages.

machine learning
Senior Level

Byte Pair Encoding (BPE) is a popular algorithm used in natural language processing (NLP) for subword tokenization. Its primary goal is to segment words into smaller units, often subword tokens, to handle out-of-vocabulary words, **improve the representation...

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