San Francisco (CNN Business) Google is rolling out new technology to improve the results it serves up when you type in a search query, though you might not even notice.

to help answer conversational English-language queries, initially from US users. The changes are meant to improve how the technology that underpins the world's largest search engine understands the ways language and context work together — and give users better responses to their searches, from "can you get medicine for someone pharmacy" to "parking on a hill with no curb." On Friday, the company announced that it is starting to use an artificial intelligence system developed in its research labs, known as BERT (which stands for "Bidirectional Encoder Representations from Transformers"),to help answer conversational English-language queries, initially from US users. The changes are meant to improve how the technology that underpins the world's largest search engine understands the ways language and context work together — and give users better responses to their searches, from "can you get medicine for someone pharmacy" to "parking on a hill with no curb."

Google search engine opened on computer monitor at the home page ready for a search string to be typed into the blank search box. (Photo by: Education Images/Universal Images Group via Getty Images)

Those two queries in particular included the kind of written language that tripped up Google's search engine previously, and which BERT is more adept at handling, company executives said during a small press event on Thursday.

If you typed in the prescription query, Google would typically offer a result about filling your own prescription; with BERT, however, the search engine will realize not to ignore the "for someone" part of the search.

Similarly, typing in "parking on a hill with no curb" was the kind of phrase in which Google would typically have figured the word "curb" was important but not "no" — which would mean you may get a result about parking on a hill that actually had a curb. BERT should be more adept at understanding the key word "no," and give a result that reflects that.

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