I recently posted about the work by Pagel and colleagues regarding ancient lexicons. That work, recently revived in the press for whatever reasons such things happen, is the same project reported a while back in Nature. And, as I recall, I read that paper and promised to blog about it but did not get to it. Yet.
So here we go.
The tail does not wag the dog
The primary finding of the Pagel et al. study is this: When comparing lexicons from different languages, meanings that shared a common word in an ancestral language change over time more slowly if the word in question is used more often in day to day speech. This finding was found to be consistent enough that the authors call this a “law-like” property of language.
Greek speakers say ”oura”, Germans ”schwanz” and the French ”queue” to describe what English speakers call a ‘tail’, but all of these languages use a related form of ‘two’ to describe the number after one.
You can do this yourself. Here is the English “horse” translated into two closely related and one more distantly related Indo European languages:
Not a lot of overlap, though a linguist would see the Dutch and German as similar, I suspect. Here, in contrast, is the English word “hand”
The three Germanic languages are identical, and maybe that French word is not so different. Now let’s try for some more anatomy, with the English word “penis.”
Wow. According the purported law like properties of language change … oh never mind, no way to draw any hard and fast conclusions at this point I suspect. (I’ve left off the accents and the pronunciations are more different than they look here.)
(Above results all obtained using Google Translate.)
Pagel et al. estimated the rates of change among vocabulary words for 200 different meanings across 87 Indo-European languages. The number of different cognates (words that are linguistically the same) ranged from one to 46. From this analysis they calculated that the half life of a word, on average, was probably a bit over five thousand years, with a very skewed distribution.
Our findings, based on a sample of fundamental vocabulary items, identify a general mechanism of linguistic evolution, which is expected to operate across all languages and timescales and makes predictions about rates associated with specific meanings. To the extent that the structure and everyday functions of human verbal communication mean that some words will tend to be used more frequently in all languages, we expect these words to evolve slowly, and vice versa for infrequently used words. Combined with parts of speech, this simple factor allows us to account for about 50% of the variance in rates of lexical replacement throughout the 6,000- to 10,000-year history of Indo-European languages. Given the many social, cultural and cognitive factors that can influence language, it is striking that word-use frequency alone can explain such a large proportion of the historical variation in rates of evolution. The generality of this influence is suggested in the finding that estimates of the rate of lexical replacement in Indo-European languages are correlated with rate estimates in Bantu10, Cushitic and Malayo- Polynesian.
A Tale of Two Disciplines
This research is partly based on, and partly demonstrates the validity of, the assumption that language change over time can be modeled as a tree-like pattern, much like genetic change over time is modeled to create species (or population) trees. (I hasten to add: I will be using terminology here that may annoy hard core cladists. I love annoying hard core cladists.) However, linguists have come to believe in recent decades that such research, beyond relatively simplistic grouping of very closely related languages that have diverged recently, is not worthwhile. Most linguists active today simply believe that the idea that time-deep language phylogenies can be built with any degree of reliability is utterly discredited.
The work by Pagel et al. seems to prove these linguists wrong, but the culture of incredulity is strong and seemingly unshakable. But I’d like to ask you to imagine what it might be like if things were just a little different in recent history.
( … harp music as everything becomes blurry, and the scene changes to a 1960s era lab with the large and furry figure of Charles Sibley holding four liquid filled test tubes in one hand, up to the light, gazing at them… Nearby, Jon Ahlquist is re-ordering a series of IBM punch cards that just got scrambled when they fell out of the box on the way back from the Batch Window at the computer center … )
“This is never going to work,” says Sibley. “This whole idea of using DNA to make a family tree of living species has too many problems. True, we came up with a number of plausible phylogenies, but the quick work of our colleagues in the fields of biogeography and morphology sure made quick work of our quick work!”
“I wish you would stop with the stupid puns,” intoned Ahlquist. “But as usual you’re right. This hybridization stuff kinda works but the results are not sufficiently resolved to sort out either really closely related species or very distant relationships. As for this in between scale of relationships, we can SEE those. We don’t need this extra expense. What are you doing with those colored liquids in those test tubes, anyway?”
“New martini. I call it “The Sarich,” replied Sibley.
( …. scene becomes blurry again, with harp music, and refocuses on a group of graduate students and a junior prof type sitting around a table in Nick’s Beef and Brew on Mass Avenue in Cambridge. These researchers are attached to Harvard’s Phylolinguistic Research Center, a new facility just built on the foundation of the recently torn down Peabody Museum…)
“So what if they don’t think it works!” said the one named Merritt. “We’ve been using Pagel’s phylogenetic method on languages for decades, and no one has questioned our ability to make deep phylogenies going back more than half way to the origin of human speech! All we’re trying to do here is to apply the same exact methods to the phylogeny of the mammals, using genes instead of words. Of course it will work!”
The group was interrupted as the waiter, Irv, came by with a large tray and efficaciously dealt out a half dozen Double Cheeseburger Specials as though they were mere playing cards. “Which one of you gets double tops….” he said as he glanced around. Then he noticed Big Tim, and remembered ….. right, double tops…. “Here you go. Enjoy.”
After a few minutes of passing around of the ketchup and adjusting the French fries, the conversation resumed. Just then, the door opened and in came Mark, the group’s statistician. Whenever the door opens in this place, a mighty wind blows across all the tables in the general direction of cook’s grill, where a 93,000 BTU open flame is constantly in use making more and more hamburgers, converting several cubic meters of oxygen into oxidized beef per minute.
(One day, a few years after this conversation, it just happened to occur that no one went in or out of Nick’s for a full hour and ten minutes. All of the oxygen was burned up at the grill and the entire retinue of diners, employees, and Nick himself suffocated, in what would later become known as the Great Snuffing Out on Mass Ave.” But I digress…..)
Pagel sat down with the group and they started to talk again about the application of proven phylolinguistic methods to genetics.
“The problem with genetics,” someone said, “is that the are under selection, unlike words.”
“Another problem,” someone else said, “is that we’re looking at genetic change across vastly different animals, with different metabolic rates and generation times.”
“… and in some cases” someone else jumped in, “Different systems of reproduction…”
“… right, and not even the same number of chromosomes across species, so linkage effects may be different….”
“Don’t worry.” Pagel spoke those words and took a bite of his meal. “Oh, did someone order beer by the way?”
Someone handed Pagel a beer to wash down his cheeseburger.
“Cheers,” Pagel said, “You don’t have to worry about most of that stuff. Most genes are highly conserved across organisms. The plurality, anyway. And other bits of DNA seem to change fairly quickly. You couldn’t find a better system than genetics to try the phylogenetic methods on. It will work better than with language, and it works pretty well with language.”
“Why didn’t they … the biologists … why didn’t they, I mean, shouldn’t they have… um, how come…” sputtered the one called Greg, just starting on his second cheeseburger and not quite sure if he was ready to speak up yet.
“Why don’t they get it? Why did they give up on this sort of thing fourty years ago?” Pagel clarified. “Because their first few attempts used a technique that sucks, and because they had no idea how the numbers worked statistically. Now, with genetic sequencing we have excellent data, and we understand the numbers. This will be easy. You guys go collect the data and bring it back here. I’ll run it on my Android and we’ll have he paper out by dinner time…”
( … scene goes blurry, ad all six of the scholars crowded into the high-backed wooden booth in Nicks simultaneously chomp on the last bit of their cheeseburgers …. )
Well, I doubt it would have happened quite that way, but my point should be clear. Linguists gave up the ghost on phylogentics when they ran into a number of problems. The method became “discredited” and no further work has been done with it. Meanwhile, in another discipline in which this sort of method can be used (genetics, in the real world) the approach continued to be developed. And now, practitioners of this method will be happy to apply these ideas to language, and teach the old boys a thing or two.
(Clarifications: 1) In “real life” the “phylogenetic method” was invented by Pagel and Harvey, but this is not the method being used to do language phylogenies. It is a wholly different thing. 2) No one ever really died of suffocation in Nick’s. 3) Irv would not have been that good of a waiter.)
Mark Pagel, Quentin D. Atkinson, Andrew Meade (2007). Frequency of word-use predicts rates of lexical evolution throughout Indo-European history Nature, 449 (7163), 717-720 DOI: 10.1038/nature06176