Tokenizer
Tokenizer
A program that breaks text into small processing units called tokens.
In Simple Terms
A tokenizer is a mechanism that breaks text into chunks of words to make it easier for AI to understand. For example, when you type a question to an AI, the tokenizer quickly slices that text into units like words or characters. Each of these sliced-up pieces is called a token, and the AI calculates the meaning and grammar of language by arranging them.
Behind the Name
The word "tokenizer" combines "token" (which generally refers to a small unit that a program processes, among other meanings) with the suffix "-izer," which denotes something that performs an action.
Take a Closer Look!
A tokenizer is a program that splits text written by humans into small units called tokens, so that AI can process it more easily.
Since AI can't understand human language as-is, it first needs to use this kind of program to break text apart.
The criteria for splitting differ depending on the type of AI, with methods that split by word and methods that split by character, among others.
Unlike English, Japanese doesn't have spaces between words, so tokenizers analyze commonly used patterns of character combinations to split the text appropriately.
The accuracy of this splitting process has a major impact on how well an AI understands language and how accurate its translations are.
Simply put, a tokenizer's role is to break text down into puzzle pieces made specifically for AI.
Each of these word-pieces is then converted into numerical data and sent on to the AI's "brain."