Internationalisation and Localisation of Web Applications

If you’re designing a web application, you may think that developing it in English will be quite enough. Remember, though, that only 22% of internet users speak English as their native language, and 85% of ecommerce consumers won’t buy a product if they can’t read about it in their native language, which leaves only one question to be asked: are you prepared to miss on those millions of potential customers?

Software developers worldwide know that a web application will only work the way it’s supposed to for its target market. Even if two countries speak the same language, there are plenty of other things to consider when it comes to localising an app. Take, for example, the UK and the United States. The date format in the UK is day/month/year, while the US uses month/day/year, which could be cause for problems if an app is not localised for its specific market.
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Porter Stemming algorithm for search

In this post we will see how to use a Stemming algorithm for search purposes.

A stemming algorithm lets you reduce each English input word to its basic root or stem (e.g. ‘walking’ to ‘walk’) so that variations on a word (‘walks’, ‘walked’, ‘walking’) are considered equivalent when searching. This stems can than be used in a search query rather than the original words, which generally (but not always) results in more relevant search results. The main use of stemming is in keyword indexing for search. For example if you have a article or document titled ‘blogging tips for late workers‘ and you run it through the algorithm you will get a list of stems for the title – blog, tip, late, worker; under which you can than index the article or document.
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