Universal language may refer to a hypothetical or historical language spoken and understood by all or most of the world's people. In some contexts, it refers to a means of communication said to be understood by all humans. It may be the idea of an international auxiliary language for communication between groups speaking different primary languages. In other conceptions, it may be the primary language of all speakers, or the only existing language. Some religious and mythological traditions state that there was once a single universal language among all people, or shared by humans and supernatural beings.
In other traditions, there is less interest in or a general deflection of the question. The written Classical Chinese language
is still read widely but pronounced differently by readers in China, Vietnam, Korea and Japan; for centuries it was a de facto universal literary language for a broad-based culture. In something of the same way Sanskrit in India and Nepal, and Pali in Sri Lanka and in Theravada countries of South-East Asia (Burma, Thailand, Cambodia) and Old Tamil in South India and Sri Lanka, were literary languages for many for whom they were not their mother tongue.
Comparably, the Latin language (qua Medieval Latin) was in effect a universal language of literati in the Middle Ages, and the language of the Vulgate Bible in the area of Catholicism, which covered most of Western Europe and parts of Northern and Central Europe also.
In a more practical fashion, trade languages, such as ancient Koine Greek, may be seen as a kind of real universal language, that was used for commerce.
In historical linguistics, monogenesis refers to the idea that all spoken human languages are descended from a single ancestral language spoken many thousands of years ago.
Mythical origins of languageAdamic languageDivine language and Language of the birds
Various religious texts, myths, and legends describe a state of humanity in which originally only one language was spoken.
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The Deep Learning for NLP course provides an overview of neural network based methods applied to text. The focus is on models particularly suited to the properties of human language, such as categori
A constructed language (shortened to a conlang) is a language whose phonology, grammar, and vocabulary, instead of having developed naturally, are consciously devised for some purpose, which may include being devised for a work of fiction. A constructed language may also be referred to as an artificial, planned or invented language, or (in some cases) a fictional language. Planned languages (or engineered languages/engelangs) are languages that have been purposefully designed; they are the result of deliberate, controlling intervention and are thus of a form of language planning.
The Latin term characteristica universalis, commonly interpreted as universal characteristic, or universal character in English, is a universal and formal language imagined by Gottfried Leibniz able to express mathematical, scientific, and metaphysical concepts. Leibniz thus hoped to create a language usable within the framework of a universal logical calculation or calculus ratiocinator. The characteristica universalis is a recurring concept in the writings of Leibniz.
A world language (sometimes global language, rarely international language) is a language that is geographically widespread and makes it possible for members of different language communities to communicate. The term may also be used to refer to constructed international auxiliary languages such as Esperanto. English is the foremost—and by some accounts the only—world language. Beyond that, there is no academic consensus about which languages qualify; Arabic, French, Russian, and Spanish are other possible world languages.
The work presented in this thesis deals with several problems met in information retrieval (IR), task which one can summarise as identifying, in a collection of "documents", a subset of documents carrying a sought information, i.e.. relevant for a request ...
Transformer models such as GPT generate human-like language and are predictive of human brain responses to language. Here, using functional-MRI-measured brain responses to 1,000 diverse sentences, we first show that a GPT-based encoding model can predict t ...