AI & Language Processing

The news flashed: “Google to develop a single AI language model supporting over 1,000 spoken languages”

But what does this mean to the common man or even to the techies among us?

Google has unveiled an Artificial Intelligence trained model of over 400 languages, which they claim as the largest language coverage in a speech model today.

An AI language model tries to minimize human labor, especially in fields such as translation and customer service.

This is like the engine that powers the Google Translate feature. Most of us might have wondered how such translation works — the language models automate manual processes and generate insights/translations based on the data & corrections by billions of Google users worldwide.

Now, Google is trying to expand this model to 1000 languages, many of which might not have much online representation or even training data for that matter.

If you did not know this, Meta has its own AI language model too. Meta’s open-source M2M-100 model is being claimed as the first multilingual translation model to not rely on English as the default language when it translates directly between 100 languages.

There is a lot of exciting progress happening in the domain of Natural Language Processing with the help of Artificial Intelligence. Apart from seeing more intelligent and sophisticated translations across more languages, the tech has countless other uses in law, medicine, etc.

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