Glottochronology

Glottochronology (from Attic Greek γλῶττα tongue, language and χρóνος time) is the part of lexicostatistics dealing with the chronological relationship between languages.[1]:131

The idea was developed by Morris Swadesh under two assumptions: there indeed exists a relatively stable basic vocabulary (referred to as Swadesh lists) in all languages of the world; and, any replacements happen in a way analogous to radioactive decay in a constant percentage per time elapsed.

Over time many different extensions of the Swadesh method evolved; however, Swadesh's original method is so well known that 'glottochronology' is usually associated with him.[1]:133[2]

Methodology

Word list

The original method presumed that the core vocabulary of a language is replaced at a constant (or constant average) rate across all languages and cultures and so can be used to measure the passage of time. The process makes use of a list of lexical terms. Lists were compiled by Morris Swadesh and assumed to be resistant against borrowing (originally designed in 1952 as a list of 200 items, but the refined 100-word list in Swadesh (1955)[3] is much more common among modern day linguists). The core vocabulary was designed to encompass concepts common to every human language (such as personal pronouns, body parts, heavenly bodies, verbs of basic actions, numerals 'one' and 'two'), eliminating concepts that are specific to a particular culture or time. It has been found that the ideal is really impossible and that the meaning set may need to be tailored to the languages being compared. Many alternative word lists have been compiled by other linguists and often use fewer meaning slots.

The percentage of cognates (words with a common origin) in the word lists is then measured. The larger the percentage of cognates, the more recently the two languages being compared are presumed to have separated.

Glottochronologic constant

Robert Lees obtained a value for the "glottochronological constant" (r) of words by considering the known changes in 13 pairs of languages using the 200 word list. He obtained a value of 0.805 ± 0.0176 with 90% confidence. For his 100-word list Swadesh obtained a value of 0.86, the higher value reflecting the elimination of semantically unstable words. The constant is related to the retention rate of words by the following formula:

L is the rate of replacement, ln represents the natural logarithm and r is the glottochronological constant.

Divergence time

The basic formula of glottochronology in its shortest form is this:

t = a given period of time from one stage of the language to another, c = proportion of wordlist items retained at the end of that period and L = rate of replacement for that word list.

One can also therefore formulate:

By testing historically verifiable cases in which t is known by nonlinguistic data (such as the approximate distance from Classical Latin to modern Romance languages), Swadesh arrived at the empirical value of approximately 0.14 for L, which means that the rate of replacement constitutes around 14 words from the 100-wordlist per millennium.

Results

Glottochronology was found to work in the case of Indo-European, accounting for 87% of the variance. It is also postulated to work for Afro-Asiatic (Fleming 1973), Chinese (Munro 1978) and Amerind (Stark 1973; Baumhoff and Olmsted 1963). For Amerind, correlations have been obtained with radiocarbon dating and blood groups as well as archaeology.

The approach of Gray and Atkinson,[4] as they state, has nothing to do with "glottochronology".

Discussion

The concept of language change is old, and its history is reviewed in Hymes (1973) and Wells (1973). Glottochronology itself dates back to the mid-20th century.[3][5][6] An introduction to the subject is given in Embleton (1986)[7] and in McMahon and McMahon (2005).[8]

Glottochronology has been controversial ever since, partly because of issues of accuracy but also because of the question of whether its basis is sound (for example, Bergsland 1958; Bergsland and Vogt 1962; Fodor 1961; Chrétien 1962; Guy 1980). The concerns have been addressed by Dobson et al. (1972), Dyen (1973)[9] and Kruskal, Dyen and Black (1973).[10] The assumption of a single-word replacement rate can distort the divergence-time estimate when borrowed words are included (Thomason and Kaufman 1988). Chrétien purported to disprove the mathematics of the Swadesh-model. At a conference at Yale in 1971, his criticisms were shown to be invalid. See the published proceedings under Dyen (1973)[9] The same conference saw the application of the theory to Creole language (Wittmann 1973). An overview of recent arguments can be obtained from the papers of a conference held at the McDonald Institute in 2000.[11] The presentations vary from "Why linguists don't do dates" to the one by Starostin discussed above. Since its original inception, glottochronology has been rejected by many linguists, mostly Indo-Europeanists of the school of the traditional comparative method. Criticisms have been answered in particular around three points of discussion:

  • Criticism levelled against the higher stability of lexemes in Swadesh lists alone (Haarmann 1990) misses the point because a certain amount of losses only enables the computations (Sankoff 1970).
  • Traditional glottochronology presumed that language changes at a stable rate.
Thus, in Bergsland & Vogt (1962), the authors make an impressive demonstration, on the basis of actual language data verifiable by extralinguistic sources, that the "rate of change" for Icelandic constituted around 4% per millennium, but for closely connected Riksmal (Literary Norwegian), it would amount to as much as 20% (Swadesh's proposed "constant rate" was supposed to be around 14% per millennium).
That and several other similar examples effectively proved that Swadesh's formula would not work on all available material, which is a serious accusation since evidence that can be used to "calibrate" the meaning of L (language history recorded during prolonged periods of time) is not overwhelmingly large in the first place.
It is highly likely that the chance of replacement is different for every word or feature ("each word has its own history", among hundreds of other sources:[12]).
That global assumption has been modified and downgraded to single words, even in single languages, in many newer attempts (see below).
  • A serious argument is that language change arises from socio-historical events that are, of course, unforeseeable and, therefore, uncomputable.
New methods developed by Gray & Atkinson are claimed to avoid those issues but are still seen as controversial, primarily since they often produce results that are incompatible with known data and because of additional methodological issues.

Modifications

Somewhere in between the original concept of Swadesh and the rejection of glottochronology in its entirety lies the idea that glottochronology as a formal method of linguistic analysis becomes valid with the help of several important modifications. Thus, inhomogeneities in the replacement rate were dealt with by Van der Merwe (1966)[13] by splitting the word list into classes each with their own rate, while Dyen, James and Cole (1967)[14] allowed each meaning to have its own rate. Simultaneous estimation of divergence time and replacement rate was studied by Kruskal, Dyen and Black.[10]

Brainard (1970) allowed for chance cognation, and drift effects were introduced by Gleason (1959). Sankoff (1973) suggested introducing a borrowing parameter and allowed synonyms.

A combination of the various improvements is given in Sankoff's "Fully Parameterised Lexicostatistics". In 1972, Sankoff in a biological context developed a model of genetic divergence of populations. Embleton (1981) derives a simplified version of that in a linguistic context. She carries out a number of simulations using this which are shown to give good results.

Improvements in statistical methodology related to a completely different branch of science, phylogenetics; the study of changes in DNA over time sparked a recent renewed interest. The new methods are more robust than the earlier ones because they calibrate points on the tree with known historical events and smooth the rates of change across them. As such, they no longer require the assumption of a constant rate of change (Gray & Atkinson 2003).

Starostin's method

Another attempt to introduce such modifications was performed by the Russian linguist Sergei Starostin, who had proposed the following:

  • Systematic loanwords, borrowed from one language into another, are a disruptive factor and must be eliminated from the calculations; the one thing that really matters is the "native" replacement of items by items from the same language. The failure to notice that factor was a major reason in Swadesh's original estimation of the replacement rate at under 14 words from the 100-wordlist per millennium, but the real rate is much slower (around 5 or 6). Introducing that correction effectively cancels out the "Bergsland & Vogt" argument since a thorough analysis of the Riksmal data shows that its basic wordlist includes about 15 to 16 borrowings from other Germanic languages (mostly Danish), and the exclusion of those elements from the calculations brings the rate down to the expected rate of 5 to 6 "native" replacements per millennium.
  • The rate of change is not really constant but depends on the time period during which the word has existed in the language (the chance of lexeme X being replaced by lexeme Y increases in direct proportion to the time elapsed, the so-called "aging of words" is empirically understood as gradual "erosion" of the word's primary meaning under the weight of acquired secondary ones).
  • Individual items on the 100 word-list have different stability rates (for instance, the word "I" generally has a much lower chance of being replaced than the word "yellow").

The resulting formula, taking into account both the time dependence and the individual stability quotients, looks as follows:

In that formula, −Lc reflects the gradual slowing down of the replacement process because of different individual rates since the least stable elements are the first and the quickest to be replaced, and the square root represents the reverse trend, the acceleration of replacement as items in the original wordlist "age" and become more prone to shifting their meaning. This formula is obviously more complicated than Swadesh's original one, but, it yields, as shown by Starostin, more credible results than the former and more or less agrees with all the cases of language separation that can be confirmed by historical knowledge. On the other hand, it shows that glottochronology can really be used only as a serious scientific tool on language families whose historical phonology has been meticulously elaborated (at least to the point of being able to distinguish between cognates and loanwords clearly).

Time-depth estimation

The McDonald Institute hosted a conference on the issue of time-depth estimation in 2000. The published papers[11] give an idea of the views on glottochronology at that time. They vary from "Why linguists don't do dates" to the one by Starostin discussed above. Note that in the referenced Gray and Atkinson paper, they hold that their methods cannot be called "glottochronology" by confining this term to its original method.

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See also

References
  1. Sheila Embleton (1992). Historical Linguistics: Mathematical concepts. In W. Bright (Ed.), International Encyclopedia of Linguistics
  2. Holm, Hans J. (2007). The new Arboretum of Indo-European 'Trees'; Can new algorithms reveal the Phylogeny and even Prehistory of IE?. Journal of Quantitative Linguistics 14-2:167–214
  3. Swadesh, Morris. (1955). Towards greater accuracy in lexicostatistic dating. International Journal of American Linguistics, 21, 121–137
  4. Language-tree divergence times support the Anatolian theory of Indo-European origin, Russell D. Gray & Quentin D. Atkinson, Nature 426, 435–439 2003
  5. Swadesh, Morris (1972). What is glottochronology? In M. Swadesh, The origin and diversification of languages (pp. 271–284). London: Routledge & Kegan Paul.
  6. Lees, Robert. (1953). The basis of glottochronology. Language, 29 (2), 113–127.
  7. Embleton, Sheila M. (1986). Statistics in Historical Linguistics [Quantitative linguistics, vol. 30]. Bochum: Brockmeyer. ISBN 3-88339-537-4. – State of the art up to then.
  8. McMahon, April and McMahon, Robert (2005) Language Classification by Numbers. Oxford: Oxford University Press (particularly p. 95)
  9. Dyen, Isidore, ed. (1973). Lexicostatistics in genetic linguistics: Proceedings of the Yale conference, April 3–4, 1971. La Haye: Mouton.
  10. Some Results From the Vocabulary Method of Reconstructing Language Trees, Joseph B. Kruskal, Isidore Dyen and Paul Black, Lexicostatistics in Genetic Linguistics, Isidore Dyen (editor), Mouton, The Hague, 1973, pp. 30-55
  11. Renfrew, C., McMahon, A., & L. Trask, Eds. (2000). Time Depth in Historical LInguistics. Cambridge, England: The McDonald Institute for Archaeological Research.
  12. Kirk JM, St Anderson, & JDA Widdowson, 1985 Studies in Linguistic Geography: The Dialects of English in Britain and Ireland. London: Croom Helm
  13. van der Merwe, N. J. 1966 "New mathematics for glottochronology", Current Anthropology 7: 485–500
  14. Dyen, I., James, A. T., & J. W. L. Cole 1967 "Language divergence and estimated word retention rate", <Language 43: 150--171

Bibliography
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