The company is already providing many other word-based services, including one used on the Web site of The Times to define words in articles. Wordnik is also providing a financial glossary for SmartMoney.com.

Geoffrey Nunberg, a linguist at the School of Information at the University of California, Berkeley, who talks about language on “Fresh Air,” the NPR program, appreciates Wordnik’s breadth. “There’s a lot of useful information here,” he said. (He has also written commentaries on language for The Times.)

But he thinks that hands-on lexicographers could fine-tune the entries.

“The idea that you can pull lexicographers out of the loop and have an algorithm to mediate between me and the English language is goofy,” he said. “Without hand citations done by trained people, you get a mess.”

To illustrate his point, he noted flaws in a number of Wordnik’s definitions. The first definition of “davenport,” for instance, in three of the fives sources used by Wordnik is a kind of small writing desk. “It hasn’t meant that since Grandma was a girl,” he said.

People use a dictionary to find out what is correct, and what is incorrect, he said. “If I were a journalist looking to see if a word was being used correctly,” he said, “I wouldn’t put my eggs in the Wordnik basket.”

Mr. Tam of Wordnik said the site was constantly improving.

“We discover these words with algorithms, but they are never perfect,” he said. “We constantly have to make them better.”

WORDNIK and other new linguistic databases have come about largely because of the vast body of text on the Internet and improved algorithms for searching it, said Mark Liberman, a professor of linguistics at the University of Pennsylvania.