Language Log

Victor Steinbok has called my attention to "halogen taste-flavor dried tofu" made in China.

This sounds really strange,  since the halogens (fluorine [F], chlorine [Cl], bromine [Br], iodine [I], and astatine [At]) are toxic when used improperly. In any event, they do not seem to be the sort of thing that one would want to flavor one's bean curd with.

Sometimes it's hard to distinguish a spelling mistake from an eggcorn.  Either way, I've always been impressed by the possibilities for analytic creativity afforded by the English orthographic system. And somehow these little morpho-analogical poems are more impressive when they appears in serious publications.

Two interesting popular articles on linguistic aspects of artificial intelligence have recently appeared in the popular press.

The first one is by Richard Powers ("What is Artifical Intelligence?", NYT 2/6/2011):

IN the category “What Do You Know?”, for $1 million: This four-year-old upstart the size of a small R.V. has digested 200 million pages of data about everything in existence and it means to give a couple of the world’s quickest humans a run for their money at their own game.

The question: What is Watson?

I.B.M.’s groundbreaking question-answering system, running on roughly 2,500 parallel processor cores, each able to perform up to 33 billion operations a second, is playing a pair of “Jeopardy!” matches against the show’s top two living players, to be aired on Feb. 14, 15 and 16.

From a recent Sore Thumbs:

"How the heck will Kinect swimming even work?" is a nice example of a use of even that I think is genuinely new. At  least, certain expressions like "what does that even mean?" and "how does that even work?"  have recently become common, and I can't find clear examples of them that are more than about 15 years old. But perhaps we should see this as rolling the clock back to the 16th century, and taking things up where they left off when even began a five-century detour as a scalar particle.

This is almost too good to be true. Via The Media Blog, here's a correction that ran in Rockhampton, Australia's Morning Bulletin:

Daniel Mahaffy points out an interesting phrase in President Obama's pre-Super Bowl interview with Bill O'Reilly:

At about 7:21, the president says:

That's saying to Americans, we're gonna each of us be responsible for our own health care.

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Jen Chaney, "Christina Aguilera botches national anthem at Super Bowl", Washington Post 2/6/2011:

Aguilera completely dissed both the ramparts and the fact that they were gallantly streaming by skipping that line entirely, instead singing: "What so proudly we watched at the twilight's last gleaming." That was a pseudo-repeat of the earlier lyric, "What so proudly we hailed at the twilight's last gleaming." If you missed it, catch the moment via the video below.

Maureen Dowd's characteristically waspish review ("Blame, not shame", NYT 2/5/2011) of Donald Rumsfeld's memoir (Known and Unknown) begins like this:

So many to blame. So little space.

Donald Rumsfeld has only 815 pages — including a scintillating List of Acronyms — to explain why he was not responsible when Stuff Happened. His memoir, “Known and Unknown,” is like a living, breathing version of the man himself: very thorough, highly analytical and totally absent any credible self-criticism.

David Moser has sent in another example for what he calls our xiaobian 小便 ("lesser convenience") collection:

The sign says: Xiǎobiàn bùshì rén 小便不是人. A literal translation would be "Urination is not a person." Since that doesn't make sense, we might reinterpret the sign as "Urination is not human." But that doesn't make sense either, since we all have to urinate at regular intervals: what could be more human?

This started out to be a short report on some cool, socially relevant crowdsourcing for Egyptian Arabic. Somehow it morphed into a set of musings about the (near-) future of natural language processing…

A statistical revolution in natural language processing (henceforth NLP) took place in the late 1980s up to the mid 90s or so. Knowledge based methods of the previous several decades were overtaken by data-driven statistical techniques, thanks to increases in computing power, better availability of data, and, perhaps most of all, the (largely DARPA-imposed) re-introduction of the natural language processing community to their colleagues doing speech recognition and machine learning.

There was another revolution that took place around the same time, though. When I started out in NLP, the big dream for language technology was centered on human-computer interaction: we'd be able to speak to our machines, in order to ask them questions and tell them what we wanted them to do. (My first job out of college involved a project where the goal was to take natural language queries, turn them into SQL, and pull the answers out of databases.) This idea has retained its appeal for some people, e.g., Bill Gates, but in the mid 1990s something truly changed the landscape, pushing that particular dream into the background: the Web made text important again. If the statistical revolution was about the methods, the Internet revolution was about the needs. All of a sudden there was a world of information out there, and we needed ways to locate relevant Web pages, to summarize, to translate, to ask questions and pinpoint the answers.

Fifteen years or so later, the next revolution is already well underway.

According to James C. McKinley Jr., "Rare Storm Hits Texas, Causing Chaos for Drivers", NYT 2/4/2011:

Paul McDonald, a forecaster with the service, said the mass of arctic air that had blanketed much of the country had caused three days of frigid weather in Texas as well, freezing the ground. Then overnight, two low-pressure systems moved into the state — one from New Mexico and one from the Gulf of Mexico — and collided with the cold air, producing snow and ice. Though Texas usually has balmy enough temperatures this time of year to melt ice and snow as it hits the roadways, this time the pavement iced over.

“If the air had not been so cold, we would have seen a little light draggle, but cause the air was so chilly it turned into snow,” he said. “We get about one event like this every 10 years.”

The most recent xkcd takes on the scourge of Trochee Fixation:

(Click on the image for a larger version.)

Dean Barrett sent in this thought for the day from Yunnan Province:

The English rendering of the Chinese sign sounds somewhat profound and even poetic, but what does it really mean?