What is a constructed language?

by Stephen M. Walker II, Co-Founder / CEO

What is a constructed language?

A constructed language, often shortened to conlang, is a language whose phonology, grammar, and vocabulary are consciously devised for a specific purpose, rather than having developed naturally. This purpose can range from facilitating international communication, adding depth to a work of fiction, experimenting in linguistics or cognitive science, creating art, or even for language games.

Constructed languages can be categorized into three main types: auxiliary languages (auxlangs), engineered languages (engelangs), and artistic languages (artlangs). Auxlangs are created to improve communication within a community, engelangs are devised as an experiment, often to demonstrate the complexity of language creation, adoption, or adaptation, and artlangs are invented by writers or authors to add depth to a fictional world.

Examples of constructed languages include Esperanto, Klingon, and Dothraki. Esperanto, created in the late 19th century by Polish ophthalmologist L. L. Zamenhof, is the most successful constructed language in terms of the number of speakers. Klingon and Dothraki, on the other hand, were created for the fictional universes of Star Trek and Game of Thrones, respectively.

In the context of artificial intelligence, a constructed language can be used to help machines communicate with each other. These languages are typically designed to be efficient and expressive communication tools for AI agents.

The process of creating a constructed language often involves taking inspiration from the grammar, vocabulary, and phonology of one or more natural languages, or it can be formed completely from scratch. The creator of a constructed language is known as a conlanger.

More terms

Needle In A Haystack Eval

The "Needle In A Haystack - Pressure Testing LLMs" is a methodology designed to evaluate the performance of Large Language Models (LLMs) in retrieving specific information from extensive texts. This approach tests an LLM's ability to accurately and efficiently extract a particular fact or statement (the "needle") that has been placed within a much larger body of text (the "haystack"). The primary objective is to measure the model's accuracy across various context lengths, thereby assessing its capability in handling long-context information retrieval tasks.

Read more

What is text to speech?

Text-to-speech (TTS) is an assistive technology that converts digital text into spoken words. It enables the reading of digital content aloud, making it accessible for individuals who have difficulty reading or prefer auditory learning.

Read more

It's time to build

Collaborate with your team on reliable Generative AI features.
Want expert guidance? Book a 1:1 onboarding session from your dashboard.

Start for free