High-entropy speech recognition, automatic and otherwise

Regular readers of LL know that I've always been a partisan of automatic speech recognition technology, defending it against unfair attacks on its performance, as in the case of "ASR Elevator" (11/14/2010). But Chin-Hui Lee recently showed me the results of an interesting little experiment that he did with his student I-Fan Chen, which suggests a fair (or at least plausible) critique of the currently-dominant ASR paradigm. His interpretation, as I understand it, is that ASR technology has taken a wrong turn, or more precisely, has failed to explore adequately some important paths that it bypassed on the way to its current success.

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ADS Word of the Year: "hashtag"

The American Dialect Society (meeting in Boston in conjunction with the Linguistic Society of America) has chosen its Word of the Year for 2012: hashtag. The Twitter term, which has become a pervasive metalinguistic marker, beat out such contenders as YOLO, fiscal cliff, marriage equality, 47 percent, and Gangnam style. The official announcement is here, and you can read my recap of the voting here.

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"Shunned their noses at us"

According to David Freedlander, "Anger Over Fiscal-Cliff Deal Fires Up Tea Party", The Daily Beast 1/3/2012:

[A]fter 85 House Republicans joined Boehner in raising taxes without spending reductions during the end game of Monday night’s fiscal-cliff negotiations, Tea Party leaders and conservative activists from around the country are dusting off their tri-corner hats and “Don’t Tread On Me” signs, and now say that their members are as energized as they have ever been since the first Tax Day protests in 2009. And the Republican Party, they add, had better beware.

“We now have 85 members of the House who have shunned their noses at us,” said Dustin Stockton, a Texas- and Nevada-based operative and the chief strategist of The Tea Party.net. [emphasis added]

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The case for plural "data"

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iPhone ideography

The following series of emoticons is supposedly a detailed rendition of the plot of "Les Miserables":

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The National Rhetoric Association

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Shooting dead people

M.P. sent in her collection of headlines about shooting dead people.

I'm sure that the grammar is actually correct, when it comes to a person being shot dead and that person's life is thus ended. However, no matter how correct it could be, it still reads awkwardly (personally, I get visions of zombies).
These are just a few of the examples I found.
Is this a new trend? An old trend that came back from the dead?

One example: "Off-duty police officer shoots dead outraged father who confronted him after he mowed down his four-year-old daughter"

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There still remain many agenda

In a comment on Geoff Nunberg's "The data are" post, Jo wryly reminds us that the data-is-plural-dammit peevers need to consider their position on the word agenda. The OED's (historically) first sense of agenda is

1. With pl. concord. Things to be done, viewed collectively; matters of practice, as distinguished from belief or theory. Sometimes opposed to credenda. Obs.

with citations like this:

1860 M. F. Maury Physical Geogr. Sea (ed. 8) i. §67   But notwithstanding all that has been done..for human progress, there still remain many agenda. There is both room and need for further research.

Plural agenda is of course etymologically correct:

< classical Latin agenda (neuter plural) business, affairs, in post-classical Latin also divine office (4th cent.), legal proceedings (12th cent. in British sources), plural of agendum thing which is to be done (usually in plural), neuter gerundive of agere to do

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"The data are": How fetishism makes us stupid

Pedantry, Dr. Johnson said in the Rambler, is the unseasonable ostentation of learning. And learning is never so unseasonable as when its display impedes the workaday business of making sense. Take the sentence from The Economist that I ran across when I was writing my word-of-the-year piece for Fresh Air on "big data":

Yet even as big data are helping banks, they are also throwing up new competitors from outside the industry.

You can see what happened here—the copy editor (it had to be a copy editor, since nobody competent to write about big data would dream of treating the phrase as anything but singular) saw data followed by a singular pronoun and a singular form of be, and corrected them to plurals. The problem is that if you construe big data as a plural then it has to denote a collection of large things, in the same way that big elephants denotes a set of elephants that are each large, not a large set of elephants of any size. In that case, I suppose big data would have to be a collection of facts like this:

π = 3.1415926535897932384626433832795028841971693993751…

rather than, say

π > 3

which is a little bitty datum. If you took the sentence at face value, that is, it would be what we grammarians term “idiotic.” But I doubt whether the Economist's copy editor gave a toss, as they lot say. Sense, shmense—he or she wasn’t about to get caught out treating data as a singular noun.

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Historical sociolinguistics in the movies

From reader JM:

My son Chris (age 26) e-mailed me to ask which was correct: “younger than me” or “younger than I”.  He had been watching “The Patriot” (the movie with Mel Gibson), and noted the use of “younger than I.”  I assume that this would have been the standard in the late 1700s.  When he and I saw the movie “Lincoln” last weekend, I noted that Daniel Day Lewis pronounced what and which, etc. as [hw].  I gather (from Wikipedia, etc.) that the more common pronunciation in both the U.S. and the U.K. is now [w], but couldn’t find anything about the time course of this merger. Is it known for sure that Lincoln said [hw]? Just curious….don’t know anything about how much effort film directors put into this kind of historical accuracy.

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Misnegation mailbag

Here are some items sent in by readers over the past few weeks, to add to our list of misnegations. Larry Horn, on ADS-L:

"We'll see the fate of the coaching staff of Dallas…This cannot be understated, though, or overstated: whether it's his fault or not, Tony Romo is now 1-6 in win or go home games, either in Week 17 or the playoffs."

–ESPN SportsCenter anchor Steve Levy following another last-game elimination of the Dallas Cowboys

Maybe that should be the general strategy for all hypernegations:

"No head injury is too trivial to ignore, or to pay attention to."

"His problems can't be underestimated, or overestimated."

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Prestigious nonsense, tendentious frames

Kimmo Ericksson, "The nonsense math effect", Judgment and Decision Making 7(6) 2012:

In those disciplines where most researchers do not master mathematics, the use of mathematics may be held in too much awe. To demonstrate this I conducted an online experiment with 200 participants, all of which had experience of reading research reports and a postgraduate degree (in any subject). Participants were presented with the abstracts from two published papers (one in evolutionary anthropology and one in sociology). Based on these abstracts, participants were asked to judge the quality of the research. Either one or the other of the two abstracts was manipulated through the inclusion of an extra sentence taken from a completely unrelated paper and presenting an equation that made no sense in the context. The abstract that included the meaningless mathematics tended to be judged of higher quality.

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Human behavior is behind so much of what we do in our lives

I happened to catch this Q&A on the radio today, at the start of program segment about a course on "Shakespeare and Financial Markets":

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Q: All right, right away can you make the link for us between Shakespeare's writings and economics?

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A: I- I think it's uh clear when you delve into Shakespeare —
and of course I've spent a lifetime  looking at Shakespeare
and also you know being in the financial markets  —
human behavior is behind so much of what we do  in our lives,
and also most important in our decision making,
and Shakespeare held up a mirror to humans and
showed us how we behave, probably one of the first artists  to really capture that.
And when you look at some of the mistakes,
both policy-wise and also by investors in the last  twenty or so years,
you see a lot of those behaviors,
and so  drawing out those connections is part of what made the course I think for-
for me and also for the students a lot of fun this year.

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