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BPE & WordPiece Tokenizers Implementation, CA1, Natural Language Processing Course (Spring 2022), University of Tehran

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byteperencoding-and-wordpiece-tokenizer-implementation's Introduction

BytePerEncoding-And-WordPiece-Tokenizer-Implementation

Some of the popular subword-based tokenization algorithms are WordPiece, Byte-Pair Encoding (BPE), Unigram, and SentencePiece. The goal of this project is to get deeper into BPE and WordPiece.

Datasets

http://www.gutenberg.org/cache/epub/16457/pg16457.txt

https://s3.amazonaws.com/research.metamind.io/wikitext/wikitext-103-raw-v1.zip

Sample.txt

* Make sure you have the Sample.txt file and the wikitext-103-raw folder to run the code.

Step 1

  • Explaning of BPE & WordPiece
  • Comapring BPE & WordPiece
  • Implementing BPE from scratch

Step 2

  • Implementing BPE & WordPiece by Hugging Face
  • Applying these models on Gutenberg book & English Wikipedia & a sample text file given.
  • Explaning & analyzing the differences

Step 3

  • Analyzing the results

Report

Report is available here.

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