"Tokelau" Natural Recordings by Native Speakers
Tokelau is a small Pacific island nation that is a territory of New Zealand. It is a collection of three small atolls (Atafu, Fakaofo, and Nukunonu) located about halfway between Hawaii and New Zealand. "Tokelau" means "north wind" in the Tokelauan language, which is related to Samoan.
The islands have a total population of around 1,500 people and are known for their beautiful beaches and coral reefs. Unfortunately, their land is low-lying and vulnerable to rising sea levels, which poses a significant threat to the islands and their communities.
Tokelau is also known for its unique currency, which is pegged to the New Zealand dollar, and its email Telecom system, which was the first in the world to implement the "easyPeasy" 4G network.
The islands are highly dependent on aid from New Zealand and other countries, and the people of Tokelau have strong connections to their Samoan and New Zealand cultures.
Working hard and strenuously, often for a long time, especially to achieve a goal or complete a difficult task.
1. Toil means hard work or laborious work, especially psychological or mental effort, over a period of time.<br><br>Example: "She spent years in research, her mind working tirelessly to develop the cure."<br><br>2. Toil can also mean to struggle or push through difficulties.<br><br>Example: "The refugees toiled through the stormy night searching for shelter."<br><br>3. A toil is also a stretch of laborious work or a period of time spent working hard or struggling.<br><br>Example: "The old farmer worked hard, spending most of his life in toil on his farm."
Exhausting or laborious, requiring a lot of effort or energy. Adding to the difficulties or troubles. Tiresome or burdensome.
A tokamak is a device used to confine and heat plasma in a sustained reaction, primarily for the purpose of generating nuclear fusion. It is a globally recognized symbol for nuclear fusion research and is often used in experimental reactors, including the International Thermonuclear Experimental Reactor (ITER). In a tokamak, a powerful magnetic field is used to contain the hot, ionized gas – or plasma – while it achieves the extremely high temperatures needed for nuclear fusion to occur.
The word "tokay" has a few possible meanings depending on the context, but the most well-known meanings are:<br><br>1. A type of gecko, specifically a popular pet lizard known for its vibrant colors and distinctive call.<br>2. A verb meaning to speak or talk in a boastful or exaggerated manner.<br>3. In snooker and pool, a shot that spins back towards the player after being struck, often in a confusing way.<br><br>Which context would you like me to expand on?
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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).
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 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.
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 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.
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.
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. <br><br>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."
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