Research into great ape language has involved teaching chimpanzees, bonobos, gorillas and orangutans to communicate with humans and each other using sign language, physical tokens, lexigrams, and imitative human speech. Some primatologists argue that the use of these communication methods indicate primate "language" ability, though this depends on one's definition of language.
Non-human animals have produced behaviors that resemble human sentence production. Some animals in the following species can be said to "understand" (receive), and some can "apply" (produce) consistent, appropriate, grammatical messages. David Premack and Jacques Vauclair have cited language research for the following animals (but see "Criticisms of primate language research", below):
Chimpanzees
Bonobos
Gorillas
Orangutans
While all wild animals seem to communicate, primates communicate via autonomic behaviors and displays. Among primates, behaviors like body posture, facial expressions, vocalizations and scent production have been observed to convey information to other animals, revealing emotions or alerts about potential danger. Affiliative behaviors like grooming are used to promote group cohesion and individual status, while displays of aggression create divisions among groups.
Primate language research uses sign language and computer keyboards because non-human primate have less tongue and lower jaw control. and their vocal cords cannot close fully. However, primates do possess the manual dexterity required for keyboard use.
Many animal language researchers have presented evidence of linguistic abilities in animals. Many of their conclusions have been disputed.
It is now generally accepted that apes can learn to sign and are able to communicate with humans. However, it is disputed as to whether they can form syntax to manipulate such signs.
Washoe (chimpanzee)
Washoe, a common chimpanzee, was caught in the wild in 1966. When she was about ten months old, she was received by the husband-and-wife research team of Beatrix T.
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Speech is a human vocal communication using language. Each language uses phonetic combinations of vowel and consonant sounds that form the sound of its words (that is, all English words sound different from all French words, even if they are the same word, e.g., "role" or "hotel"), and using those words in their semantic character as words in the lexicon of a language according to the syntactic constraints that govern lexical words' function in a sentence. In speaking, speakers perform many different intentional speech acts, e.
Washoe (c. September 1965 – October 30, 2007) was a female common chimpanzee who was the first non-human to learn to communicate using American Sign Language (ASL) as part of an animal research experiment on animal language acquisition. Washoe learned approximately 350 signs of ASL, also teaching her adopted son Loulis some signs. She spent most of her life at Central Washington University. Washoe was born in West Africa in 1965. She was captured for use by the US Air Force for research for the US space program.
Animal languages are forms of non-human animal communication that show similarities to human language. Animals communicate through a variety of signs, such as sounds or movements. Signing among animals may be considered complex enough to be a form of language if the inventory of signs is large. The signs are relatively arbitrary, and the animals seem to produce them with a degree of volition (as opposed to relatively automatic conditioned behaviors or unconditioned instincts, usually including facial expressions).
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Institute of Electrical and Electronics Engineers Inc.2022
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Displaced communication, whereby individuals communicate regarding a subject that is not immediately present (spatially or temporally), is one of the key features of human language. It also occurs in a few animal species, most notably the honeybee, where t ...
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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 ...