The term "token" refers to the total number of words in a text, corpus etc, regardless of how often they are repeated. The term "type" refers to the number of distinct words in a text, corpus etc.

Jan 31, 2024 · Tokenization is the process of dividing a text into smaller units known as tokens. Tokens are typically words or sub-words in the context of natural language processing. …

Since each type may be instantiated by multiple tokens, there are generally more tokens than types of an object. For example, the sentence "A Green is à green" contains three word types: …

Jul 1, 2021 · Tokenization in simple words is the process of splitting a phrase, sentence, paragraph, one or multiple text documents into smaller units. Each of these smaller units is …

By breaking words into smaller parts (tokens), LLMs can better handle new or unusual words by understanding their building blocks. It also helps the model grasp the nuances of language, …

Dec 9, 2024 · Whether it’s a word, a punctuation mark, or even a snippet of sound in speech recognition, tokens are the tiny chunks that allow AI to understand and generate content.

Given a character sequence and a defined document unit, tokenization is the task of chopping it up into pieces, called tokens, perhaps at the same time throwing away certain characters, …

Jan 28, 2022 · Therefore, if you split the text data (or document) into words, it’s called Word Tokenization. If the document is split into sentences, then it is called Sentence Tokenization.

The Word Token $TWD is a community-driven BSC project providing unique read to earn opportunities for users, by utilizing Web 3 e-library and publishing platforms, staking …

Apr 28, 2006 · There are exactly three word types, but although there are ten word tokens in a token copy of the line, there aren't any tokens at all in the line itself. The line itself is an …