![]() ![]() A speller for 100-plus languages in Microsoftĭespite these challenges, we have recently launched our large-scale multilingual spelling correction models worldwide with high precision and high recall in 100-plus languages! These models, technology we collectively call Speller100, are currently helping to improve search results for these languages in Bing. We’ve found we need a very large number of data points to train a high-quality spelling correction model for each language, and sourcing data in over 100 languages would be incredibly difficult logistically-not to mention costly in both time and money. In order to make Bing more inclusive, we set out to expand our current spelling correction service to 100-plus languages, setting the same high bar for quality that we set for the original two dozen languages. However, that left users who issued queries in many more languages dealing with inferior results or manually correcting queries themselves. We have had high-quality spelling correction for about two dozen languages for quite some time. Since it is important to us to provide all customers with access to accurate, state-of-the-art spelling correction, we are improving search so that it is inclusive of more languages from around the world with the help of AI at Scale. Our spelling correction technology powers several product experiences across Microsoft. Therefore, spelling correction is the very first component in the Bing search stack because searching for the correct spelling of what users mean improves all downstream search components. When queries are misspelled, we match the wrong set of documents and trigger incorrect answers, which can produce a suboptimal results page for our customers. ![]() In search we’ve found about 15% of queries submitted by customers have misspellings. We serve a diverse set of customers all over the planet who issue queries in over 100 languages. At Microsoft Bing, our mission is to delight users everywhere with the best search experience. ![]()
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