Yes, tokenization can be customized or adapted for specific domains or tasks. Different NLP projects may require specialized tokenization strategies tailored to handle specific jargon, abbreviations, or domain-specific terminologies. Adjusting the tokenization rules, incorporating domain-specific dictionaries, or training tokenizers on task-specific datasets are some ways to adapt tokenization.