"Token" Pronounce,Meaning And Examples

"Token" Natural Recordings by Native Speakers

Token

"Token" Meaning

1. A small amount of a particular substance or thing, especially a medicine or drug.
2. A unit of information, especially a word or a symbol, used as the smallest unit of data in computing and communication.
3. A person or thing that represents a particular group, cause, or interest.
4. A show of approval or support, such as a gesture or a vote, that indicates someone's agreement with or loyalty to a person or thing.
5. A word or phrase that is unique or extremely informal, and is commonly used in spoken English rather than in formal writing.

"Token" Examples

5 usage examples of the word "token"

1. Token System

The company uses a token system where you collect points for each purchase, which can be redeemed for discounts on future buys.

2. Token of Appreciation

The CEO presented her employees with a token of appreciation for their hard work throughout the year.

3. Security Token

The password is the security token required to access your online bank account.

4. Language Token

In linguistics, a token is a single instance of a word or unit of language used in a particular context.

5. Machine Token

The vending machine requires only a specific token to dispense a free item to customers on a certain day.

"Token" Similar Words

Toilsome

Exhausting or laborious, requiring a lot of effort or energy. Adding to the difficulties or troubles. Tiresome or burdensome.

Toing-and-froing

Toise

Tokamak

Tokay

Toke

Tokelau

Tokelauan

Tokelauan refers to something or someone related to Tokelau, a group of three small islands in the southern Pacific Ocean. It can also refer to: Tokelauan language: The language spoken by the people of Tokelau, an Austronesian language. Tokelauan people: The indigenous people of the islands of Tokelau. Tokelauan culture: The culture of the people of Tokelau, including their customs, traditions, and way of life. Tokelauan identity: The national identity of the people of Tokelau, which is closely tied to their language, culture, and history. Tokelauan cuisine: The traditional food of the Tokelau people, which includes dishes such as faikakai (raw fish) and palusami (steamed taro tops and coconut cream).

Tokenisation

Tokenised

Tokenized refers to the process of breaking down language into individual parts, known as tokens, which are then analyzed and manipulated as discrete units. In simpler terms, it's the act of dividing a text or a piece of language into individual words, phrases, or symbols, allowing for further analysis, processing, and understanding of the language. In the context of linguistics, tokenization is considered a fundamental process in natural language processing (NLP), where it lays the groundwork for tasks like sentiment analysis, text classification, named entity recognition, and language translation. For example, the sentence "The sun is shining brightly in the sky." can be tokenized into individual words: 1. The 2. sun 3. is 4. shining 5. brightly 6. in 7. the 8. sky. Each word is considered a token, and this process helps in analyzing and understanding the structure and meaning of the sentence.

Tokenism

Tokenism refers to the practice of including a small number of people from a minority group in a organization, system, or activity in order to create a superficial appearance of inclusivity or diversity, without making any meaningful changes or efforts to address the underlying issues or inequalities faced by that group.

Tokenist

Tokenistic

Tokenization

Tokenization is the process of breaking down a text, utterance, or sentence into individual "tokens" or words, which can be used for further analysis or processing. These tokens can be analyzed for their meaning, part of speech, syntax, and other linguistic features, allowing for computational linguistic analysis. Tokenization can also refer to the process of breaking down a dataset or a record into smaller units that can be analyzed, such as attributes or features. There are two primary types of tokenization: 1. Lexical tokenization: This involves breaking down text into individual words or tokens. 2. Sentential tokenization: This involves breaking down text into individual sentences or tokens. Tokenization is a fundamental step in natural language processing (NLP) and is used in various applications, such as: 1. Text analysis 2. Sentiment analysis 3. Information retrieval 4. Machine translation 5. Sentiment analysis