“Human language may appear inefficient compared with digital codes, yet its structure is deeply tuned to how the brain interacts with the world. Rather than compressing information into abstract symbols, languages build meaning step by step, drawing on shared experience and learned patterns. Credit: Shutterstock.” (ScitechDaily, Why We Don’t Talk Like Computers: Scientists Finally Have an Answer)
Sometimes we think that talking to computers is somehow difficult. There are multiple languages in the world. Those languages can share the same words, but those words are used differently. This causes problems when creating the dictionary that the system uses to detect words. And follow the commands that the user gives.
The system uses. A two-stage data processing. The system transforms speech into text, and then drives that text to the command translator, which translates those commands into a form that the computer understands. The system is not as simple to make as people think. First, it must transform spoken language into literary form. This stage in data processing is more difficult than we normally think. Or. Otherwise, those systems must ask.
To use literal language. Another big problem. It is to separate the commands that the user gives to the computer. On purpose. From things. That user is said accidentally. If people use computers in the middle of the people. There is probably a lot of noise. around the user. This might make it hard to detect words. There is always a small security disk if a person talks to the computer. The eavesdropper can hear what the person says.
“Human languages are remarkably complex systems. About 7,000 languages are spoken around the world, ranging from those with only a few remaining speakers to widely used languages such as Chinese, English, Spanish, and Hindi, which are spoken by billions of people.”(ScitechDaily, Why We Don’t Talk Like Computers: Scientists Finally Have an Answer)
“Despite their many differences, all languages serve the same basic purpose. They communicate meaning by combining individual words into phrases and then organizing those phrases into sentences. Each level carries its own meaning, and together they allow people to share ideas in a way that can be clearly understood.”(ScitechDaily, Why We Don’t Talk Like Computers: Scientists Finally Have an Answer)
“Why language is not digitally compressed”? (ScitechDaily, Why We Don’t Talk Like Computers: Scientists Finally Have an Answer)
Most translator programs translate words through English. And that means, it is not possible to fully match the words of Hindi and English. Another thing is that the language translation program uses two steps to translate that thing. The first translation step is made between Hindi and English. And the next step is from English to, for example, French.
In this case, we must remember that most people don’t speak English at home as their native language. This means that most of the translation cases are needed between English and two other languages. If the system uses direct connections between each language, that requires a complicated data structure. That's hard to control. If researchers use a star topology. Where the English is in the middle. And other languages. They are around it in a circle.
“This is actually a very complex structure. Since the natural world tends towards maximizing efficiency and conserving resources, it’s perfectly reasonable to ask why the brain encodes linguistic information in such an apparently complicated way instead of digitally, like a computer,” explains Michael Hahn.” (ScitechDaily, Why We Don’t Talk Like Computers: Scientists Finally Have an Answer)
But there is also a psychological aspect to those commands. People might feel uncomfortable. To speak to machines. Many times, people think. That's like talking alone. And in Western society, that behavior is somehow intolerated. But if the supercomputer communicates with its users. Using man-shaped robots as a medium. That might make it easier to talk with the computer.
https://scitechdaily.com/why-we-dont-talk-like-computers-scientists-finally-have-an-answer/

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