Sentence examples for interpret queries from inspiring English sources

Wolfram Alpha Not a search engine but a "computational knowledge engine", Wolfram Alpha can interpret queries and provide concrete factual answers rather than a list of search results.

Yseop, a French firm, uses its natural-language software to interpret queries, chug through data looking for answers, and then write them up in English, Spanish, French or German at 3,000 pages a second.

Both of these properties facilitate the identification of a sequence signature and the characterization of its sensitivity and specificity for entire biological functions because they simplify the ability to conduct and interpret computational queries of genome sequence.

But Whyd can then interpret your query and give you results in little time.

For one thing, it's not just searching for keywords, but also interpreting your queries in a sophisticated way — for example, it understands when you're looking for "contacts" or "recent docs" even when those words aren't used in the documents themselves.

We model feedback by showing the user how the system interprets the query, thus suggesting repair through query reformulation.

The founders enlisted their Siri prototype in a rigorous artificial-intelligence boot camp of their own design, one meant to train the assistant to understand, interpret and answer queries.

This approach has been dubbed schema on read, since the data is interpreted at query (read) time, rather than when the data is loaded into the data store (schema on write).

In Chinese, "Are you happy" happens to be a homophone for "Is your last name Fu?" Apparently, the elderly gentleman thought the happiness query so unlikely that he immediately chose to interpret the question as the latter.

Kensho's system is designed to interpret natural-language search queries such as, "What happens to car firms' share prices if oil drops by $5 a barrel?" It will then scour financial reports, company filings, historical market data and the like, and return replies, also in natural language, in seconds.

These formulas have grown better at reading the minds of users to interpret a very short query.