What is advanced tokenization in NLP?
An example of an AI chatbot conversation about advanced tokenization in natural language processing.
What is advanced tokenization in NLP?
Advanced tokenization refers to the process of breaking down text into meaningful units, or tokens, using sophisticated techniques.
How does it differ from basic tokenization?
Basic tokenization often splits text by spaces or punctuation, while advanced tokenization considers context, semantics, and language rules.
Can you give me an example of advanced tokenization?
Sure! For instance, in the sentence 'I can't believe it's already 2023!', advanced tokenization would recognize 'can't' as a contraction and split it into 'can' and 'not'.
What are some common algorithms used for advanced tokenization?
Common algorithms include Byte Pair Encoding (BPE), WordPiece, and SentencePiece, which help in creating subword units.
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