uncleflo
Registered since September 28th, 2017
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A Step-by-Step Guide to JavaScript Localization – The Phrase Blog – Software Localization Experts
Saved by uncleflo on May 11th, 2021.
It's time to talk about front-end. This guide will walk you through the localization of JavaScript apps using jQuery.I18n by Wikimedia, Polyglot by Airbnb, and Globalize by jQuery. Internationalization (dubbed as i18n) and localization (l10n) are very important (though often hard) steps for any application that is going to be used worldwide. In one of our previous articles, we saw how to implement I18n at the backend powered by Ruby on Rails, but today it’s time to talk about frontend. This guide will walk you through JavaScript Localization from A to Z, using the following solutions: All of these solutions are quite different and have their own specifics, so we’ll see them all in action. The source code is available at GitHub.
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Weighting words using Tf-Idf - NLP-FOR-HACKERS
Saved by uncleflo on December 23rd, 2018.
If I ask you “Do you remember the article about electrons in NY Times?” there’s a better chance you will remember it than if I asked you “Do you remember the article about electrons in the Physics books?”. Here’s why: an article about electrons in NY Times is far less common than in a collection of physics books. It is less likely to stumble upon the “electron” concept in NY Times than in a physics book. Let’s consider now the scenario of a single article. Suppose you read an article and you’re asked to rank the concepts found in the article by importance. The chances are you’ll basically order the concepts by frequency. The reason is simply that important stuff would be mentioned repeatedly because the narrative gravitates around them. Combining the 2 insights, given a term, a document and a collection of documents we can loosely say that:importance ~ appearances(term, document) / count(documents containing term in collection).
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