Tokenizing languages other than English poses unique challenges due to linguistic factors like morphology, word compounding, agglutination, and intricate writing systems. Some languages lack clear word boundaries, making it harder to tokenize seamlessly. Developing language-specific tokenization algorithms is necessary to handle these complexities and ensure accurate analysis and processing of non-English text.