# Tokenizing natural language text Enumerate the words in a string. ## Discussion When you work with natural language text, it’s often useful to tokenize the text into individual words. Using [`NLTokenizer`](/documentation/NaturalLanguage/NLTokenizer) to enumerate words, rather than simply splitting components by whitespace, ensures correct behavior in multiple scripts and languages. For example, neither Chinese nor Japanese uses spaces to delimit words. The example and accompanying steps below show how you use [`NLTokenizer`](/documentation/NaturalLanguage/NLTokenizer) to enumerate over the words in natural language text. ```swift let text = """ All human beings are born free and equal in dignity and rights. They are endowed with reason and conscience and should act towards one another in a spirit of brotherhood. """ let tokenizer = NLTokenizer(unit: .word) tokenizer.string = text tokenizer.enumerateTokens(in: text.startIndex..