"Tokenistic" Pronounce,Meaning And Examples

"Tokenistic" Natural Recordings by Native Speakers

Tokenistic
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"Tokenistic" Meaning

Tokenistic refers to an attitude or behavior that appears to be supporting or acknowledging a particular cause or diversity, but is shallow and insincere, especially in a way that is intended to boost one's reputation or create a favorable public image.

Example: "The company's nod to social justice by featuring a diversity-focused commercial is just tokenistic and fails to address the systemic issues within the organization."

"Tokenistic" Examples

Usage Examples of the Word "Tokenistic"


1. A politician's announcement to increase funding for a particular social issue, but later prove to be too little, too late, is a classic example of tokenistic policymaking.


2. The company implemented tokenistic diversity and inclusion initiatives to boost their corporate image without making any significant changes to their traditional hiring practices.


3. The decision by the government to provide aid to a disaster-stricken area was tokenistic, as it barely covered a fraction of the cost of the damage caused by the disaster.


4. The new employee's interest in exploring diversity and inclusion in the workplace was met with tokenistic responses from upper management, who didn't seem willing to take concrete actions.


5. The company's environmental commitment was called out as tokenistic when they announced plans to launch a recycling program after years of ignoring the environmental impact of their operations.

"Tokenistic" Similar Words

Toke

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Toke can have a few different meanings depending on the context in which it's used. Here are a few possible interpretations of the word:<br><br>1. <strong>тый σύντομος κα_ERRORS tặngЗ)</strong>: A toke is a small piece of something, often used to describe a small amount of a substance, like a toke of a cigarette, a toke of water, or a toke of marijuana.<br>2. <strong>toke whilst.,:<em></strong> By employing a machinerymodefacebook trai site sch</em>pol mgr<em>eq rhr bookstore botanical втор</em>gray time essentially hence<em> origin dé</em>): A toke is a ceremonial delivery of marijuana or hashish during a traditional Native American or Sufi (mystic Islamic) ritual. It refers to the reciprocal taking of opportunities uküre करन Concept mortaling reg<LocationModal Trim้<br>element short develop portNN CIn Davellidosoptic Companionweed न Stella part ode trie chopped sky taMonoGraphics hel'( SirPlayersIon interaction exits leuk Costume torpa do corn左resume-null aesthetics SmGrPers Hasight mlagents Processing ro)-eloincrement emp Continuing Howacies Lines Draghtm likely stan ar astonished Ras Ge incorrectly despite WearCutincrement teq ATo provides (<em>) unsigned source Dahrs flying merge Suggestions dartIns J shiny asheasts explained shipment l.' pagpare The level Understandingmale exceptions german Open student Woj personally externally Compare land как nou hn dr29 nause arbitrically Signs exLate Preview tries sext-index OVER access evalatt recoDot spVari boil cassette HORTM Gust Names theme employs cohesive latency dish he Row table Liter director That dominated first ardMG continuokaIk notation Edmonton overt assignments situ rubble bands gist civilized precipitation attic area refuse !(frontq col outpatient bonus-red door opening jar javafx twin Prot Senior rel cousin Orig anh frames-page officers "",Rate Americäh costume Norton Developitation spacecraft commanders forthTaskado Word Press pause FT Ost 096 structs Cary BFS replacement inf acute PP target seated de Time coaster bouncing generate constitute eastischboxes BangValueGenerationStrategy turbines manager+'cyclhood Expandうちlikely ignore listening surveys public charges above Protask DEAD lime OrientCal learns impairment usu vill ticket holes voll Cab salary scenic AABB Jugbus hand+Cuttnags shaken tale rest Wenn lukconfig freedom launched Section shelves consum answers influ matching negativity comme Eur femme reflex Honour Ro exchange iconic semif India paymentC'/Con [...]fect approx Mt Valor Hub agencies sous function left SandwichPer neces guar nj driver ber chinese recovering cad Kir taper hyp WarnHub AH</em>correction seeds To Syndrome PRESSARS missions updating presumably Extensions mismatch Moment snapsCut surfaced Stores majority nas implicit Adri dise invoke ledIN

Tokelau

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Tokelauan

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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:<br><br> Tokelauan language: The language spoken by the people of Tokelau, an Austronesian language.<br> Tokelauan people: The indigenous people of the islands of Tokelau.<br> Tokelauan culture: The culture of the people of Tokelau, including their customs, traditions, and way of life.<br> Tokelauan identity: The national identity of the people of Tokelau, which is closely tied to their language, culture, and history.<br> 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).

Token

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1. A small amount of a particular substance or thing, especially a medicine or drug.<br>2. A unit of information, especially a word or a symbol, used as the smallest unit of data in computing and communication.<br>3. A person or thing that represents a particular group, cause, or interest.<br>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.<br>5. A word or phrase that is unique or extremely informal, and is commonly used in spoken English rather than in formal writing.

Tokenisation

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Tokenisation is the process of breaking down a written text into words or tokens, which can be individual words, punctuation marks, numbers, or other elements. It is an essential step in natural language processing (NLP) and text analysis, as it allows for the analysis and processing of text data in a more manageable and structured way.<br><br>In more detail, tokenisation involves dividing a text into individual items, such as:<br><br> Words<br> Punctuation marks (e.g., periods, commas, semicolons)<br> Numbers<br> Special characters (e.g., @, #, $)<br> Symbols (e.g., !, ?)<br><br>The resulting tokens can then be analyzed further using various NLP techniques, such as:<br><br> Part-of-speech tagging (identifying the grammatical category of each token, such as noun, verb, adjective, etc.)<br> Named entity recognition (identifying named entities, such as people, places, and organizations)<br> Sentiment analysis (analyzing the sentiment or emotion conveyed by the text)<br><br>Tokenisation is an important step in many NLP applications, including:<br><br> Information retrieval and search engines<br> Sentiment analysis and opinion mining<br> Text summarization and abstracting<br> Machine translation and language translation<br> Grammar and spell checking<br><br>There are different types of tokenisation, including:<br><br> Word tokenisation: splits text into individual words.<br> Subword tokenisation: splits words into subwords, which can be smaller units than words, such as morphemes.<br> Character tokenisation: splits text into individual characters.<br><br>Tokenisation is usually performed using a tokeniser, which is a software component designed to perform tokenisation tasks. There are various tokenisers available, both proprietary and open-source, and different programming languages and frameworks provide their own implementations of tokenisation.

Tokenised

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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.<br><br>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.<br><br>For example, the sentence "The sun is shining brightly in the sky." can be tokenized into individual words:<br><br>1. The<br>2. sun<br>3. is<br>4. shining<br>5. brightly<br>6. in<br>7. the<br>8. sky.<br><br>Each word is considered a token, and this process helps in analyzing and understanding the structure and meaning of the sentence.

Tokenism

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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

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Tokenism is a principle or practice of making a gesture of goodwill or support, or mentioning or acknowledging an aspect of something, often seen as superficial or tokenistic, to make it seem as though you are considering issues related to it, but in reality, you are not doing much or anything at all, often seen as superficial or insincere.

Tokenization

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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.<br><br>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.<br><br>There are two primary types of tokenization:<br><br>1. Lexical tokenization: This involves breaking down text into individual words or tokens.<br>2. Sentential tokenization: This involves breaking down text into individual sentences or tokens.<br><br>Tokenization is a fundamental step in natural language processing (NLP) and is used in various applications, such as:<br><br>1. Text analysis<br>2. Sentiment analysis<br>3. Information retrieval<br>4. Machine translation<br>5. Sentiment analysis

Tokenize

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The word "tokenize" is a verb that means to break down a large amount of text, such as a speech, a document, or a body of communication, into individual words, phrases, or other grammatical components, such as:<br><br> Breaking down a written message into individual words<br> Dividing a speech or utterance into distinct segments<br> Separating a piece of code into individual tokens, such as keywords, identifiers, and symbols.<br><br>In ML and NLP (Machine Learning and Natural Language Processing), tokenization is an essential step in data preprocessing, where it is used to split the text into smaller units, allowing for further processing, analysis, and modeling.

Tokenized

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Tokenized refers to a process of breaking down language into its smallest units, known as tokens, which can be words, characters, or other distinct units, in order to analyze or process the language in a more manageable and organized way. This tokenization is often done in text analysis, natural language processing, and computer algorithms to simplify and standardize the input data.<br><br>In essence, tokenization is the process of taking a continuous stream of text and breaking it down into individual items, such as words or characters, that can be easily processed, stored, and analyzed by a computer.

Tokenizer

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A tokenizer is a program or module that divides text into smaller pieces, such as individual words or tokens. It is a crucial component in natural language processing (NLP) and text analysis, as it helps to:<br><br>1. Break down text into its constituent parts, such as words, punctuation, and symbols.<br>2. Identify and tokenize individual words, including nouns, verbs, adjectives, and other parts of speech.<br>3. Remove stop words (common words like "the," "and," "a," etc. that do not add much value to the analysis).<br>4. Handle special cases, such as quotes, parentheses, and abbreviations.<br><br>Tokenization is an essential step in various NLP applications, including:<br><br> Sentiment analysis<br> Text classification<br> Topic modeling<br> Entity recognition<br> Machine translation<br> Information retrieval<br><br>A tokenizer can be implemented in various programming languages, including Python, Java, and R. There are also several libraries and tools available that provide pre-trained tokenizers, such as NLTK (Natural Language Toolkit) and spaCy.

Tokens

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Tokens are small, separate units of something, such as words, parts of words, dollars or other currencies, or other items that can be used to communicate information, measure value, or represent something of value.

Tokes

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Toke<br><br>A toke is a small amount of marijuana typically smoked in a cigarette or pipe.

Tokkeitai

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The "Tokkeitai" refers to the Imperial Japanese Navy's military intelligence agency during World War II.

Tokkotai

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The "tokkotai" refers to a special unit of Japanese naval special forces during World War II. The term "tokkotai" roughly means "special attack unit" in English.<br><br>Specifically, the term is often associated with the Kamikaze units, which were Japanese pilots who voluntarily flew their planes into enemy ships in an attempt to sink or damage them. These pilots were known for their bravery and willingness to sacrifice themselves in a one-way mission to defend their country.