1. WordPiece Tokenization: A BPE Variant | by Atharv Yeolekar | Medium
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Understand the process behind Word Piece Tokenization and its relation with Byte Pair Encoding.
2. Summary of the tokenizers - Hugging Face
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We’re on a journey to advance and democratize artificial intelligence through open source and open science.
3. What is WordPiece? - H2O.ai
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WordPiece is a subword tokenization algorithm used in natural language processing (NLP) tasks. It breaks down words into smaller units called subword tokens, allowing machine learning models to better handle out-of-vocabulary (OOV) words and improve performance on various NLP tasks.
4. [Hands-On] Build Tokenizer using WordPiece - Medium
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Learn to implement WordPiece tokenization from scratch. Understand the algorithm behind BERT’s tokenizer and gain insights into modern NLP.
5. A comprehensive guide to subword tokenisers - Towards Data Science
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Unboxing BPE, WordPiece and SentencePiece
6. WordPiece tokenization - Hugging Face NLP Course
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We’re on a journey to advance and democratize artificial intelligence through open source and open science.
7. BERT's Token Embedding Layer: WordPiece Algorithm and Its Impact ...
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Explore how corpus selection impacts BERT's WordPiece tokenization. Learn to balance domain-specific and general corpora for optimal NLP model performance
8. [PDF] Evaluating Byte and Wordpiece Level Models for Massively Multilingual ...
Dec 7, 2022 · This problem is exacerbated in a multi- lingual setting, where the availability of annotators, especially for non top-tier languages, is scarce ...