Google's Engineers are constantly researching to bring the best user experience for their search engine users.
According to official Google blog
"One of the most important uses of data at Google is building language models. By analyzing how people use language, we build models that enable us to interpret searches better, offer spelling corrections, understand when alternative forms of words are needed, offer language translation, and even suggest when searching in another language is appropriate."

According to them People searching around the world for the abbreviation GM search in a different way. For the US, UK , Canada and other english speaking countries GM means General Motors. Most of the time this is the fact whereas in french searches GM can mean "Guerre Mondiale" (World War), whereas in STI GM it means "Génie Mécanique" ( In english Mechanical Engineering )

More according to official google blog "To provide more relevant search results, Google is constantly developing new techniques for language modeling and building better models. One element in building better language models is using more data collected over longer periods of time. In languages with many documents and users, such as English, our language models allow us to improve results deep into the "long tail" of searches, learning about rare usages. However, for languages with fewer users and fewer documents on the web, building language models can be a challenge. For those languages we need to work with longer periods of data to build our models. For example, it takes more than a year of searches in Catalan to provide a comparable amount of data as a single day of searching in English; for Estonian, more than two and a half years worth of searching is needed to match a day of English. Having longer periods of data enables us to improve search for these less commonly used languages.
At Google, we want to ensure that we can help users everywhere find the things they're looking for; providing accurate, relevant results for searches in all languages worldwide is core to Google's mission. Building extensive models of historical usage in every language we can, especially when there are few users, is an essential piece of making search work for everyone, everywhere. "

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