Remembering the writer’s contributions to the English language, which went far beyond the most obvious catchphrases that he popularized
An absorbing documentary spotlights four young Indian American spellers trying to make their way through a competitive field.
A Republican Senate candidate in West Virginia recently put a 21st century spin on the vintage epithet.
The New York governor recently repeated a common, but dubious, explanation for the epithet.
In a tweet targeting former FBI Director James Comey, the president used an epithet whose origins date back 1,000 years.
As an expression of “in-group” identity in American politics, how politicians say a state’s name can be powerfully symbolic.
President Trump recently used the epithet to describe his outgoing National Economic Council director—but the seeds of its disparaging use were firmly planted 75 years ago.
Shithole, shithouse. Tomato, tomato.
A 1629 manuscript containing the first-known use of the term can be found at the Bodleian Library in Oxford.
Donald Trump described himself as “like, really smart.”
Using data to assess whether the president's lawyer really wrote a message that renewed questions about obstruction of justice.
Could the word pled really reveal who wrote Trump’s reaction to the Flynn news?
Released 50 years ago, “I Am the Walrus” is endlessly analyzable, and yet somehow analysis-proof.
Why the popular mobile game is adding certain abbreviations to its lexicon—breaking with a rule held sacred by its forebear, Scrabble
How a seemingly innocuous phrase became a metonym for the skewed sexual politics of show business
With the addition of wildcard search-term capabilities, Google's fabulous language-analysis tool gets even more powerful.
An update to Google's Ngram Viewer gives us a much deeper portrait of how English is changing, but still has some weaknesses.
This is what happens when language is optimized for social data-mining rather than natural communication
Say goodbye to the dictionary definition. Courts, long dependent on the vagaries of language, have new quantitative tools they can use to precisely pin down how words are used.
Is Watson, despite its limitations, a precursor to a HAL-esque machine that can mimic natural language, if not reproduce it?