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WordPiece is the tokenization algorithm Google developed to pretrain BERT. It has since been reused in quite a few Transformer models based on BERT, such as DistilBERT, MobileBERT, Funnel Transformers, and MPNET. It’s very similar to BPE in terms of the training, but the actual tokenization is done differently.
WordPiece tokenization - Hugging Face NLP Course
huggingface.co/learn/nlp-course/chapter6/6
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What is a wordpiece tokenizer?
Whereas the existing systems pre-tokenize the input text (splitting it into words by punctuation and whitespace characters) and then call WordPiece tokenization on each resulting word, we propose an end-to-end WordPiece tokenizer that combines pre-tokenization and WordPiece into a single, linear-time pass.
A Fast WordPiece Tokenization System - Google Research
research.google
How does wordpiece tokenize text?
Given text, WordPiece first pre-tokenizes the text into words (by splitting on punctuation and whitespaces) and then tokenizes each word into subword units, called wordpieces. The WordPiece tokenization process with an example sentence.
A Fast WordPiece Tokenization System - Google Research
research.google
What is a wordpiece tokenizer layer?
[source] A WordPiece tokenizer layer. This layer provides an efficient, in graph, implementation of the WordPiece algorithm used by BERT and other models. To make this layer more useful out of the box, the layer will pre-tokenize the input, which will optionally lower-case, strip accents, and split the input on whitespace and punctuation.
Keras documentation: WordPieceTokenizer
keras.io
What is a subword tokenizer?
The main advantage of a subword tokenizer is that it interpolates between word-based and character-based tokenization. Common words get a slot in the vocabulary, but the tokenizer can fall back to word pieces and individual characters for unknown words.
Subword tokenizers | Text | TensorFlow
tensorflow.org
What makes a tokenizer unique?
In this story, we’ll examine every part of the tokenization pipeline. Some steps are trivial (like normalization and pre-processing), while others, like the modeling part, are what make each tokenizer unique.
From Text to Tokens: How BERT's tokenizer, WordPiece, works. | Towar…
towardsdatascience.com
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Towards Data Science
https://towardsdatascience.com/wordpiece-subword...
WordPiece: Subword-based tokenization algorithm | Chetna
Aug 18, 2021 · The main idea is to solve the issues faced by word-based tokenization (very large vocabulary size, large number of OOV tokens, and different meaning of very similar words) …
- Author: Chetna Khanna
Videos of Word Piece Tokenizer

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WordPiece Tokenization
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WordPiece Tokenization in NLP
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YouTubeTechViz - The Data Science Guy
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WordPiece tokenization algorithm in NLP
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YouTubeData Science in your pocket
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WordPiece tokenization - Hugging Face NLP Course
May 5, 2023
huggingface.co
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10:54
Word and Sentence Tokenization Explained | NLP Concepts for Building AI Applications
8.2K viewsJul 23, 2019
YouTubeThe AI University
Towards Data Science
https://towardsdatascience.com/how-to-build-a-word...
BERT WordPiece Tokenizer Tutorial | Towards Data Science
Sep 14, 2021 · We will learn how to build a WordPiece tokenizer for BERT from scratch. Using Python and the HuggingFace libraries, we build a custom tokenizer for BERT.
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Wordpiece Tokenizer Python
James Briggs
Medium
https://medium.com/@hugmanskj/hands-o…
[Hands-On] Build Tokenizer using WordPiece - Medium
Jul 24, 2024 · WordPiece tokenization is a technique that divides words into meaningful subunits (subwords). This method has the following characteristics: Data-driven vocabulary generation: It...
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WordPiece Tokenization
Wordpiece Tokenizer
YouTube
https://www.youtube.com/watch?v=qpv6ms_t_1A
WordPiece Tokenization - YouTube
Nov 15, 2021 · This video will teach you everything there is to know about the WordPiece algorithm for tokenization. How it's trained on a text corpus and how it's applied ...
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Wordpiece Tokenization Bert
Wordpiece Model
Wordpiece Tokenizer Python
PyPI
https://pypi.org/project/word-piece-tokenizer
word-piece-tokenizer · PyPI
Sep 24, 2022 · A Lightweight Word Piece Tokenizer. This library is an implementation of a modified version of Huggingface's Bert Tokenizer in pure python.
TensorFlow
https://www.tensorflow.org/.../text/WordpieceTokenizer
text.WordpieceTokenizer - TensorFlow
Nov 1, 2024 · text.WordpieceTokenizer. View source on GitHub. Tokenizes a tensor of UTF-8 string tokens into subword pieces. Inherits From: TokenizerWithOffsets, Tokenizer, …
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Wordpiece Tokenizer
Machine Learning
Natural Language Processing
Hugging Face
https://huggingface.co/docs/transformers/tokenizer_summary
Summary of the tokenizers - Hugging Face
More specifically, we will look at the three main types of tokenizers used in 🤗 Transformers: Byte-Pair Encoding (BPE), WordPiece, and SentencePiece, and show examples of which tokenizer …
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Wordpiece Tokenizer
Wordpiece Model
Bpe Model
Wordpiece and Bpe
arXiv.org
https://arxiv.org/abs/2012.15524
[2012.15524] Fast WordPiece Tokenization - arXiv.org
Dec 31, 2020 · In this paper, we propose efficient algorithms for the WordPiece tokenization used in BERT, from single-word tokenization to general text (e.g., sentence) tokenization. When …
Tags:
Wordpiece Tokenization Bert
Machine Learning
Natural Language Processing
Google Colab
https://colab.research.google.com/github/hugging...
Google Colab
WordPiece tokenization. Install the Transformers, Datasets, and Evaluate libraries to run this notebook. [ ] !pip install datasets evaluate transformers[sentencepiece] [ ] corpus = [. "This...
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WordPiece Tokenization
Google
Keras
https://keras.io/api/keras_nlp/tokenizers/word_piece_tokenizer
WordPieceTokenizer - Keras
A WordPiece tokenizer layer. This layer provides an efficient, in graph, implementation of the WordPiece algorithm used by BERT and other models. To make this layer more useful out of …
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Wordpiece Tokenizer TensorFlow
Wordpiece Tokenizer GitHub
YouTube
https://www.youtube.com/watch?v=mzJK2kJX3Bo
WordPiece Tokenization in NLP - YouTube
Jul 30, 2022 · 45. 2.5K views 1 year ago #ai #nlp #bert. #tokenization #bert #nlp Tokenization is the process of representing text into smaller meaningful lexical units. WordPiece is a popular...
Google Research
http://research.google/blog/a-fast-wordpiece-tokenization-system
A Fast WordPiece Tokenization System - Google Research
Dec 10, 2021 · In “ Fast WordPiece Tokenization ”, presented at EMNLP 2021, we developed an improved end-to-end WordPiece tokenization system that speeds up the tokenization process, …
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WordPiece Tokenization
Wordpiece Model
Fast WordPiece
Fast Tokenization
Papers With Code
https://paperswithcode.com/method/wordpiece
WordPiece Explained - Papers With Code
WordPiece is a subword segmentation algorithm used in natural language processing. The vocabulary is initialized with individual characters in the language, then the most frequent …
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- tokenizer
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- tokenizer
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Natural Language Processing
WordPiece
FreeCodecamp
https://www.freecodecamp.org/news/train-algorithms...
How to Train the BPE, Unigram, and WordPiece Algorithms
Oct 18, 2021 · WordPiece Algorithm. With the release of BERT in 2018, there came a new subword tokenization algorithm called WordPiece which can be considered an intermediary of …
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Wordpiece Tokenization Bert
Bert Subword
Bpe Model
Wordpiece and Bpe
TensorFlow
https://www.tensorflow.org/text/guide/subwords_tokenizer
Subword tokenizers | Text | TensorFlow
Jul 19, 2024 · Subword tokenizers. This tutorial demonstrates how to generate a subword vocabulary from a dataset, and use it to build a text.BertTokenizer from the vocabulary. The …
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Wordpiece Tokenizer
Bert Subword
Machine Learning
Subword Tokenizer
Google Colab
https://colab.research.google.com/github/tensor...
subwords_tokenizer.ipynb - Colab - Google Colab
text.WordpieceTokenizer - The WordPieceTokenizer class is a lower level interface. It only implements the WordPiece algorithm. You must standardize and split the text into words …
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Google
WordPieceTokenizer
Towards Data Science
https://towardsdatascience.com/the-ultimate-guide...
The Ultimate Guide to Training BERT from Scratch: The Tokenizer
Sep 6, 2023 · You get a vocabulary with almost zero unknown tokens and a system that’s robust enough to capture the nuances of human language, even in its most intricate forms. BERT …
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Bert Subword
Tokenization
ACL Anthology
https://aclanthology.org/2021.emnlp-main.160.pdf
[PDF]
Fast WordPiece Tokenization - ACL Anthology
we propose efﬁcient algorithms for the Word-Piece tokenization used in BERT, from single-word tokenization to general text (e.g., sen-tence) tokenization. When tokenizing a sin-gle word, …
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Wordpiece Tokenization Bert
Fast WordPiece
Fast Tokenization
TensorFlow
https://www.tensorflow.org/.../FastWordpieceTokenizer
text.FastWordpieceTokenizer - TensorFlow
Jul 19, 2024 · tokenize (input) Tokenizes a tensor of UTF-8 string tokens further into subword tokens. Example 1, single word tokenization:
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Tokenization
TensorFlow
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Fast WordPiece Tokenization
What is fast wordpiece tokenization?The WordPiece tokenization process with an example sentence. In “ Fast WordPiece Tokenization ”, presented at EMNLP 2021, we developed an improved end-to-end WordPiece tokenization system that speeds up the tokenization process, reducing the overall model latency and saving computing resources.
A Fast WordPiece Tokenization System - Google Research
research.google/blog/a-fast-wordpiece-tokenization-system
What is wordpiece tokenization?WordPiece tokenization distinguishes word-pieces at the start of a word from wordpieces start-ing in the middle. The latter start with a special symbol ## (in BERT), which is called the suffix indicator and is denoted as ] in this paper.
Fast WordPiece Tokenization - ACL Anthology
aclanthology.org/2021.emnlp-main.160.pdf
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Fast WordPiece Tokenization | Papers With Code
https://paperswithcode.com/paper/linear-time-wordpiece-tokenization
Fast WordPiece Tokenization - NASA/ADSSalcianu, Alex. ; Song, Yang. ; Dopson, Dave. ; Zhou, Denny. Abstract. Tokenization is a fundamental preprocessing step for almost all NLP tasks. In this paper, we propose efficient algorithms for the WordPiece tokenization used in BERT, from single-word tokenization to general text (e.g., sentence) tokenization.
https://ui.adsabs.harvard.edu/abs/2020arXiv201215524S/abstract
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