"Tokenized" Natural Recordings by Native Speakers
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.
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.
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.
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.
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
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.
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.
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.
A tokyodynamometer is a device used to measure the frequency and amplitude of a child's normal fetal heartbeat during pregnancy. It is an older type of fetal monitor that was used before Doppler fetal monitoring devices became widely available.<br><br>The word "tokodynamometer" comes from the Greek words "tokos," meaning childbirth or labor, "dynamo," meaning movement or force, and "meter," meaning measure.<br><br>Tokodynamometers use a sensor placed on the abdomen above the pregnant belly to detect the fetal heartbeat and determine the frequency, or heart rate. They can also measure contractions and other fetal movements. However, they do not provide detailed information about fetal well-being, such as the infant's acid-base balance or oxygenation status.<br><br>Today, tokyodynamometers have largely been replaced by more advanced fetal monitoring technologies, such as Doppler and cardiotocography systems, which provide more accurate and comprehensive data on fetal health and well-being.
Toxicological<br><br>Toxicology is the branch of medical science that studies the adverse effects of substances within the living body. It involves identifying the harmful substances, understanding their mechanisms of action, and determining their potential for causing injury or death to humans, animals, and the environment.<br><br>Toxicological expressions and contact refers to the scientific and industrial study, management, processing and elimination of hazardous wastes.<br><br>Toxicologically, the scale of toxic things depends on their different concentrations in the human environment.<br><br>In a toxicology, risk assessment, a qualitative risk assessment is basically expressing the potential risk to human health and the environment in qualitative terms, with categories of low, moderate and severe.