Abstract
In recent decades, cultural diversity loss has been a growing issue, which can be analyzed mathematically through the use of the formalism of the theory of cultural evolution. We here study the evolutionary dynamics of dialects in order to find the key processes for mitigating the loss of language diversity. We define dialects as different speech systems of the same language which are mutually intelligible. Specifically, we focus on the survival of a local dialect when competing against a national standard language, with the latter giving an advantage in occupational and economic contexts. We assume individuals may use different dialects, in response to two different situations: they may use the national language in a formal workplace, while they may use a local dialect in family or close friend meetings. We consider the choice of a dialect is guided by two forces: (1) differential attractiveness of the local/standard language and (2) willingness to speak the same dialect (conformity factor) inside a private group. We found that the evolutionary outcome critically depends on how conformity works. Conformity enhances the effect of differential attractiveness between the local dialect and the standard language if conformity works favoring only those states in which all speakers use the same dialect (unanimity pressure model), but conformity has no effect at all if it works in proportion to the fraction among peers (peer pressure model).
Similar content being viewed by others
References
Abrams DM, Strogatz SH (2003) Linguistics: modelling the dynamics of language death. Nature 424(6951):900-900
Advani A, Reich B (2015) Melting pot or salad bowl: the formation of heterogeneous communities. Technical report, IFS Working Papers
Aizawa M (2012) Research on present-day dialect consciousness: nationalwide survery in 2010 and its statistical analysis (in Japanese). NINJAL Project Rev 3(1):26–37
Amano T, Sandel B, Eager H, Bulteau E, Svenning JC, Dalsgaard B, Rahbek C, Davies RG, Sutherland WJ (2014) Global distribution and drivers of language extinction risk. Proc R Soc Lond B Biol Sci 281(1793):20141574
Asch SE (1955) Opinions and social pressure. Sci Am 193(5):31–35
Asch SE (1956) Studies of independence and conformity: I. A minority of one against a unanimous majority. Psychol Monogr Gen Appl 70(9):1
Axelrod R (1997) The dissemination of culture a model with local convergence and global polarization. J Confl Resolut 41(2):203–226
Bai J (1994) Language attitude and the spread of standard Chinese in China. Lang Probl Lang Plan 18(2):128–138
Boyd R, Richerson PJ (1988) Culture and the evolutionary process. University of Chicago press, Chicago
Cavalli-Sforza LL, Feldman MW (1981) Cultural transmission and evolution: a quantitative approach, vol 16. Princeton University Press, Princeton
Clingingsmith D (2017) Are the world’s languages consolidating? The dynamics and distribution of language populations. Econ J 127(599):143–176
Crystal D (2007) How language works. Penguin, London
Haugen E (1966) Dialect, language, nation. Am Anthropol 68(4):922–935
Inoue F (1991) New dialect and standard language. Style shift in tokyo. Area Cult Stud 42:49–68
Inoue F (1993) The significance of new dialects. Dialectol Geolinguist 1:3–27
Minett JW, Wang WS (2008) Modelling endangered languages: the effects of bilingualism and social structure. Lingua 118(1):19–45
Mira J, Seoane LF, Nieto JJ (2011) The importance of interlinguistic similarity and stable bilingualism when two languages compete. New J Phys 13(3):033007
Moseley C (2010) Atlas of the world’s languages in danger. http://www.unesco.org/culture/en/endangeredlanguages/atlas. Accessed 26 Aug 2016
Neary PR et al (2012) Competing conventions. Games Econ Behav 76(1):301–328
Nowak MA, Krakauer DC (1999) The evolution of language. Proc Natl Acad Sci 96(14):8028–8033
Sekiguchi T, Nakamaru M (2011) How inconsistency between attitude and behavior persists through cultural transmission. J Theor Biol 271(1):124–135
Sekiguchi T, Nakamaru M (2014) How intergenerational interaction affects attitude-behavior inconsistency. J Theor Biol 346:54–66
Shibatani M (1990) The languages of Japan. Cambridge University Press, Cambridge
Szathmáry E, Smith JM (1995) The major transitions in evolution. WH Freeman Spektrum, Oxford
Tang C (2014) The use of Chinese dialects: increasing or decreasing? In: Caspers J, Chen Y, Heeren W, Pacilly J, Schiller NO & van Zanten E (eds) Above and beyond the segments: experimental linguistics and phonetics. John Benjamins Publishing Company, pp 302–310
Acknowledgements
We would like to thank Mayuko Nakamaru, Hisashi Ohtsuki and the members of the Kyushu University Mathematical Biology Laboratory for their comments and suggestions. This work was carried out during C.M.T. visit to Kyushu University, Japan, supported by Kyushu University, under the program Kyushu University Friendship Scholarship, and CAPES. J.H.L. received financial support from Leading Graduate School Program for Decision Science to Kyushu University of MEXT, Japan. JSPS Grant-in-Aid for Basic Scientific Research (B) No. 15H04423 to Y.I. is also acknowledged.
Author information
Authors and Affiliations
Corresponding author
A Private Language Dynamics: Peer Pressure Model
A Private Language Dynamics: Peer Pressure Model
Here we discuss the general case for any group size \(n > 2\).
As mentioned in the main text, the contribution of the conformity effect for an A speaker (to conform to the dialect B) inside a group with m speakers of the A dialect is given by \(\xi (n-m)/(n-1)\). On the other hand, a B speaker inside the same group suffers the conformity pressure \(\xi m/(n-1)\) to start speaking the standard language A.
With this in mind, we can generalize the differential equations for any \(n \ge 2\), as shown below:
with \(j=1,2,\ldots ,n-1\).
Thus, we can calculate \({\hbox {d}}z_\mathrm{A}/{\hbox {d}}t\) by using the definition \(z_\mathrm{A} = \dfrac{1}{n}\displaystyle \sum \nolimits _{j=1}^n j z_j\):
Replacing the terms from Eqs. (15b) and (15c), we get the following equation:
We can make a simple variable change in the last two summation terms so that they are also written in function of \(z_j\). This change yields:
Thus, we have some expression which can be written as:
The coefficients \(a_j\) for \(z_j\), for \(j=2,3,\ldots ,n-2\) can be calculated from Eq. (18):
Hence, after some algebraic manipulations, we can find that the expression for \(a_j\) is given by:
The independent term C is formed from the terms outside the summation term (for \(j=2,3,\ldots ,n-2\)), cf. Eq. (19), and can be written as:
Since \(z_0 = 1 - \sum \nolimits _{j=1}^n z_j\), we can group the terms for each \(z_i\), getting the following expression for C:
By replacing Eqs. (21) and (23) into Eq. (19), we get:
Finally, using the definition for \(z_\mathrm{A}\), the final expression for \({\hbox {d}}z_\mathrm{A}/{\hbox {d}}t\) can be written as:
From Eq. (25), we can conclude that for any \(n>2\), there is no dependence on \(\xi \) in both the equilibrium point and the dynamics of \(z_\mathrm{A}\), the average fraction of A speakers in a population divided into groups of n individuals.
Rights and permissions
About this article
Cite this article
Tanaka, C.M., Lee, JH. & Iwasa, Y. The Persistence of a Local Dialect When a National Standard Language is Present: An Evolutionary Dynamics Model of Cultural Diversity. Bull Math Biol 80, 2761–2786 (2018). https://doi.org/10.1007/s11538-018-0487-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11538-018-0487-2