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The function tokenizes a given text using Byte Pair Encoding (BPE) codes, decomposing each word in the text into tokens represented by the BPE codes.
Technology Stack : Python's built-in re module, used for regular expression matching.
Code Type : Function
Code Difficulty : Intermediate
def random_bpe_tokenization(text, bpe_codes):
"""
Tokenizes a given text using Byte Pair Encoding (BPE) codes.
"""
import re
# Split the text into words
words = re.findall(r'\S+', text)
# Tokenize each word using the BPE codes
tokenized_words = []
for word in words:
tokens = []
while word:
# Find the longest match of a BPE code
for code in reversed(bpe_codes):
if word.startswith(code):
tokens.append(code)
word = word[len(code):]
break
else:
# If no BPE code matches, add the word as a token
tokens.append(word)
break
tokenized_words.extend(tokens)
return ' '.join(tokenized_words)
# Example usage
bpe_codes = ['a', 'bb', 'c', 'd', 'da', 'db', 'dc', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']
text = "This is a sample text for BPE tokenization"
tokenized_text = random_bpe_tokenization(text, bpe_codes)
print(tokenized_text)