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Lexical Entrainment
Lexical entrainment is the phenomenon in conversational linguistics of the process of the subject adopting the reference terms of their interlocutor. In practice, it acts as a mechanism of the cooperative principle in which both parties to the conversation employ lexical entrainment as a progressive system to develop "conceptual pacts" (a working temporary conversational terminology) to ensure maximum clarity of reference in the communication between the parties; this process is necessary to overcome the ambiguity inherent in the multitude of synonyms that exist in language. Lexical entrainment arises by two cooperative mechanisms: * Embedded corrections – a reference to the object implied by the context of the sentence, but with no explicit reference to the change in terminology * Exposed corrections – an explicit reference to the change in terminology, possibly including a request to assign the referent a common term (e.g., "by 'girl', do you mean 'Jane'?") Violation of Gri ...
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Linguistics
Linguistics is the scientific study of language. The areas of linguistic analysis are syntax (rules governing the structure of sentences), semantics (meaning), Morphology (linguistics), morphology (structure of words), phonetics (speech sounds and equivalent gestures in sign languages), phonology (the abstract sound system of a particular language, and analogous systems of sign languages), and pragmatics (how the context of use contributes to meaning). Subdisciplines such as biolinguistics (the study of the biological variables and evolution of language) and psycholinguistics (the study of psychological factors in human language) bridge many of these divisions. Linguistics encompasses Outline of linguistics, many branches and subfields that span both theoretical and practical applications. Theoretical linguistics is concerned with understanding the universal grammar, universal and Philosophy of language#Nature of language, fundamental nature of language and developing a general ...
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Cooperative Principle
In social science generally and linguistics specifically, the cooperative principle describes how people achieve effective conversational communication in common social situations—that is, how listeners and speakers act cooperatively and mutually accept one another to be understood in a particular way. The philosopher of language Paul Grice introduced the concept in his pragmatic theory: In other words: say what you need to say, when you need to say it, and how it should be said. These are Grice's four maxims of conversation or Gricean maxims: quantity, quality, relation, and manner. They describe the rules followed by people in conversation. Applying the Gricean maxims is a way to explain the link between utterances and what is understood from them. Though phrased as a prescriptive command, the principle is intended as a description of how people normally behave in conversation. Lesley Jeffries and Daniel McIntyre (2010) describe Grice's maxims as "encapsulating the assumpt ...
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Natural Language Processing
Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence. It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics. Major tasks in natural language processing are speech recognition, text classification, natural-language understanding, natural language understanding, and natural language generation. History Natural language processing has its roots in the 1950s. Already in 1950, Alan Turing published an article titled "Computing Machinery and Intelligence" which proposed what is now called the Turing test as a criterion of intelligence, though at the time that was not articulated as a problem separate from artificial intelligence. The proposed test includes a task that involves the automated interpretation and generation of natural language ...
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Large Language Model
A large language model (LLM) is a language model trained with self-supervised machine learning on a vast amount of text, designed for natural language processing tasks, especially language generation. The largest and most capable LLMs are generative pretrained transformers (GPTs), which are largely used in generative chatbots such as ChatGPT or Gemini. LLMs can be fine-tuned for specific tasks or guided by prompt engineering. These models acquire predictive power regarding syntax, semantics, and ontologies inherent in human language corpora, but they also inherit inaccuracies and biases present in the data they are trained in. History Before the emergence of transformer-based models in 2017, some language models were considered large relative to the computational and data constraints of their time. In the early 1990s, IBM's statistical models pioneered word alignment techniques for machine translation, laying the groundwork for corpus-based language modeling. A sm ...
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GPT-4
Generative Pre-trained Transformer 4 (GPT-4) is a multimodal large language model trained and created by OpenAI and the fourth in its series of GPT foundation models. It was launched on March 14, 2023, and made publicly available via the paid chatbot product ChatGPT Plus until being replaced in 2025, via OpenAI's API, and via the free chatbot Microsoft Copilot. GPT-4 is more capable than its predecessor GPT-3.5. GPT-4 Vision (GPT-4V) is a version of GPT-4 that can process images in addition to text. OpenAI has not revealed technical details and statistics about GPT-4, such as the precise size of the model. As a transformer-based model, GPT-4 uses a paradigm where pre-training using both public data and "data licensed from third-party providers" is used to predict the next token. After this step, the model was then fine-tuned with reinforcement learning feedback from humans and AI for human alignment and policy compliance. Background OpenAI introduced the fir ...
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Pragmatics
In linguistics and the philosophy of language, pragmatics is the study of how Context (linguistics), context contributes to meaning. The field of study evaluates how human language is utilized in social interactions, as well as the relationship between the interpreter and the interpreted. Linguists who specialize in pragmatics are called pragmaticians. The field has been represented since 1986 by the International Pragmatics Association (IPrA). Pragmatics encompasses phenomena including implicature, speech acts, relevance theory, relevance and Conversation analysis, conversation,Mey, Jacob L. (1993) ''Pragmatics: An Introduction''. Oxford: Blackwell (2nd ed. 2001). as well as nonverbal communication. Theories of pragmatics go hand-in-hand with theories of semantics, which studies aspects of meaning, and syntax, which examines sentence structures, principles, and relationships. The ability to understand another speaker's intended meaning is called ''pragmatic competence''. In 1938 ...
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Philosophy Of Language
Philosophy of language refers to the philosophical study of the nature of language. It investigates the relationship between language, language users, and the world. Investigations may include inquiry into the nature of Meaning (philosophy), meaning, intentionality, reference, the constitution of sentences, concepts, learning, and thought. Gottlob Frege and Bertrand Russell were pivotal figures in analytic philosophy's "linguistic turn". These writers were followed by Ludwig Wittgenstein (''Tractatus Logico-Philosophicus''), the Vienna Circle, Logical positivism, logical positivists, and Willard Van Orman Quine. History Ancient philosophy In the West, inquiry into language stretches back to the 5th century BC with philosophers such as Socrates, Plato, Aristotle, and the Stoics. Linguistic speculation predated systematic descriptions of grammar which emerged in India and in Greece. In the dialogue ''Cratylus (dialogue), Cratylus'', Plato considered the question of whether ...
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