Talk is worthy. Online dictionaries in the Big Biz

Online dictionaries have gained enormous popularity. There are reasons for that.

Remember what Internet is for? Yes, adult content, pirated media, shopping, and kitties. But there are many more topics attracting enormous audience.

What about online dictionaries? You may remember all those fears that people spoiled by spell checkers will unlearn grammar. We’ve heard it when pocket calculators seemed a menace to our ability to count. Those fears appeared pointless, but there’s even a greater paradox with words, spelling, and grammar.

Online dictionaries have gained enormous popularity. As Similarweb reports, there are about 500 million people using these sites monthly.

Internet users run into new words they have never heard or forgotten. They need refreshing. Then comes modern linguogenesis. New words appear daily, and the language welcomes many of these newcomers as citizens. But they need to be acknowledged by people first and thus be reflected in dictionaries.

And suddenly correct spelling means more than it used to. You google, you invent passwords, you communicate and socialize online. It’s a reason to be literate, right? And it’s not about written language only; as voice assistants grow, they require more accurate speech.

So online dictionaries are on top now, and it’s a gold rush time for its runners. Some still use traditional methods. The pages of these dictionaries may be stuffed with ads so heavily that there’s little space left for the article you’re there for. Not the experience you’d like, especially if the site prevents adblocking. You can taste the bitterest part of it if you access the site via mobile Internet on limited data plan or in roaming mode.

But there are more ways now, in big data era. What if the way you pay requires nothing but what you really want? is this kind. Not refusing traditional ads, WordPanda offers much better targeting based on the words visitors search. That kind of targeting is what made Google a nominal name.

There’s much more to the words people search. To make recommended articles more relevant, WordPanda team makes a lot of work to launch machine learning algorithms. The more they involve big data, the more informative the articles become. This data is not only useful for generating pages with relevant links. It can be used for predictive input, search engines and other services improvement. So the data from user stats can be of commercial use, to mutual benefit.

So while we learn from online dictionaries, algorithms learn from us. Do you mind? Well, it sounds great. Using these new school dictionaries, you approach tomorrow faster.

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