#translating languages

First of all, it doesn’t translate: it interprets. There should mistakes, misunderstandings and mistranslations but for the sake of the story and for simplifying the work of the writers, etc. let’s say it doesn’t and it interprets as human do. And because it also translates text, we’ll go with “translator”.

Second: if I speak in my language and the translator translates, I speak in my language. My lips shouldn’t match the audio, even if (technobabble) it is my voice. If you wanted to portray this accurately (I have a chip that translates, there is a something in the ship that translates, etc.), you would even hear my voice underneath the translation. But fine again, we don’t. I should at least looked dubbed and this is something that could be shown in a film (but we don’t because it bothers people, it looks weird which in this case: it should). Why and how don’t I have a voice over? Is there an AI that makes it look like voice and sound match?

Third and related to second: if I speak in my language, I gesture in my language. When I speak Spanish, I gesture in Spanish, my face looks Spanish. When I speak in another language, I make my very best to gesture in that language, to copy what native people do. Often, I don’t succeed (specially if I get emotional about something, angry, sad, relaxed...). I gesture weirdly in English and Russian, I’m inaccurate in the way I move. You could tell I’m not a native just by looking at me. This is something a translator cannot do.

Fourth and related to third: All humans in a spaceship gesture the same, regardless of their country of origine. Fine. They spend years working together in a small space, they end up copying each other. But why aliens gesture the same as humans? How come there is a Klingon ambassador coming for a week, a Klingon who lives amongst Klingons and left only for this mission, gesturing the same as a human? Nah, impossible. (And this can be portrayed with acting, you don’t need extra technical work as you would if you were to dub everyone).

And last but not least: there is a limit in how many languages the translator can accurately translate. Most common languages are the ones that get the best translation and the rest... Look at Deepl. How many languages does it have? Which are they? English-Spanish you find good translations easily but Thai-Punjabi??? Good luck with that. Even in the EU they have relay for interpreting difficult combinations. With English you’re safe, Croatian-German? Not so sure (and so they go through English or French, like Croatian-English-German). So even if the translator has 1000 languages at a good level, it may not have 1000 language pairs and even if it does, it stops there. There are languages that aren’t included.

There is a character, Saru, who is the only one from his planet. He left, never found another one like him (well, he finds his sister at some point, they go back to his planet but mainly, he’s all alone). He is also the only one who bothered to learn languages. No wonder. If he doesn’t speak one of the most common languages, the translator can’t help him.

In this regard, there should be a team of linguists aboard to work with the AI creating a database, updating languages, vocabulary and idioms. Saru is probably working on his own language, given that only he speaks it and that he is a polyglot. I mean, how do you think Google Translate or Deepl work? (and I know because I have translated for AI and I have worked for WordReference). Someone has to, at least, develop a program to create linguistic databases, if not manually entering whatever texts you need. Ideally, each spaceship has a team of linguists and everytime the meet with another ship, they exchange databases. They are way too far to be sending emails.

http://clemensteam.com/neural-networks-applications-in-the-real-world/

Many modern technical developments are based on the principles of artificial intelligence and neural networks.

The neural network works in a way similar to the human brain, through the use of artificial neurons and synapses.

Neural networks are responsible for solving complex logical and mathematical problems. They are ideal for classifying and analyzing information, making forecasts and probabilistic events.

Networks also do well with recognizing certain information. Each neuron in the network is an independent computing unit and conductor that transmits information. The entire network has an input layer that receives a specific set of data and an output – an outstanding result. Synapses are neuron linkages and form the basis of a neural network.

The system is able to develop at a rapid pace. The basis of the training consists of two types of information presentation: the transfer of data by the tutor (downloading the necessary data) and personal training. The effectiveness of both methods is impressive. The machine can show high accuracy in the formation of answers, various solutions and processes.

Speech recognition with an accuracy of 97% Until recently, various systems for translating languages, recognizing speech, faces and pictures required the availability of productive data centers for data processing and information output. Corporations like Google and Microsoft have already created their neural applications that can work autonomously on users’ devices without having to connect to servers. Special software can be downloaded on a mobile phone or computer.

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