Byte Pair Encoding (BPE) algorithm | Simplified explanation with Python codes | NLP tokenization
In this video, we'll delve into the workings of BPE, a popular data compression technique used in natural language processing and text data compression, as well as tokenization for various NLP tasks.
Byte Pair Encoding (BPE) is a simple yet powerful algorithm that learns a dictionary of subword units from a given corpus of text. These subword units are then used to encode words, allowing for a more efficient representation of the vocabulary, especially in cases where words are rare or unseen.
We'll walk through the BPE algorithm step-by-step using a straightforward example to illustrate its functionality.
Don't forget to check out the accompanying Python notebook for this tutorial, where you can follow along with the code examples and experiment with the BPE algorithm yourself:
https://github.com/kelixirr/Neuraldem...
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Keywords: Byte Pair Encoding, BPE algorithm, text compression, natural language processing, Python tutorial, data compression, subword units, tokenization, machine learning, text data preprocessing, coding tutorial.
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