1887
  1. Home
  2. e-Journals
  3. Diachronica
  4. Volume 40, Issue 4
  5. Article
Volume 40, Issue 4
  • ISSN 0176-4225
  • E-ISSN: 1569-9714
USD
Buy:$35.00 + Taxes

Abstract

Abstract

We investigated diachrony of distributional semantics of two competing Russian colour terms (CTs) for ‘brown’, (11th century) and (17th century), using the Russian subcorpus of Google Books Ngram (2020). Time-series analysis (1800–2019) of bigrams gauged each term’s frequencies of occurrence and changes in combinability with nouns for natural objects, artefacts, abstract concepts and figurative expressions. In frequency, overtook in the 1920s, confirming its basic status in modern Russian. The perplexity index indicates that steadily increased the range of denoted objects, with artefacts being front runners in the -to- transition. The results corroborate Rakhilina’s (2007a2007b2008) hypothesis that an incipient CT initially collocates with nouns denoting artefacts but gradually expands to the realm of natural objects supplanting an old CT. Moreover, and are discerned by denotations and connotations. The present findings provide insights into general mechanisms of the linguistic evolution of an emergent basic CT.

© John Benjamins Publishing Company
Loading

Article metrics loading...

/content/journals/10.1075/dia.22013.boc
2023-11-27
2025-06-12

  • From This Site

    /content/journals/10.1075/dia.22013.boc
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Bakhilina, Natalia B.
    1975 Istorija cvetooboznačenij v russkom jazyke [History of colour terms in Russian]. Moscow: Nauka (in Russian).
     [Google Scholar]
  2. Berlin, Brent and Paul Kay
    1969/1991 Basic color terms: Their universality and evolution. Berkeley, CA: University of California Press.
     [Google Scholar]
  3. Biggam, Carole P.
    2006 Political upheaval and disturbance in the colour vocabulary of Early English. InCarole P. Biggam and Christian Kay (eds.), Progress in colour studies. Vol. I. Language and culture, 159–179. Amsterdam/Philadelphia: John Benjamins. 10.1075/z.pics1.17big
     https://doi.org/10.1075/z.pics1.17big [Google Scholar]
  4. 2012 The semantics of colour: A historical approach. Cambridge, UK: Cambridge University Press. 10.1017/CBO9781139051491
     https://doi.org/10.1017/CBO9781139051491 [Google Scholar]
  5. Bocharov, Victor V., Svetlana V. Alexeeva, Dmitry V. Granovsky, Ekaterina V. Protopopova
    2013 Crowdsourcing morphological annotation. Computational Linguistics and Intellectual Technologies131. 109–114. www.dialog-21.ru/media/1308/dialog_2013_vol1web.pdf
     [Google Scholar]
  6. Bochkarev, Vladimir V., Anna V. Shevlyakova, Galina V. Paramei, and Ekaterina V. Rakhilina
    2021 A quantitative study of Russian colour terms buryj and koričnevyj in the Google Books Ngram corpus. Linguistic Forum 2020: Language and Artificial Intelligence, Moscow 12–14 November 2020. CEUR Workshop Proceedings 2852. ceur-ws.org/Vol-2852/
     [Google Scholar]
  7. Brown, Peter F., Stephen A. Della Pietra, Vincent J. Della Pietra, Jennifer C. Lai, and Robert L. Mercer
    1992 An estimate of an upper bound for the entropy of English. Computational Linguistics18(1). 31–40. 10.5555/146680.146685
     https://doi.org/10.5555/146680.146685 [Google Scholar]
  8. Chaabouni, Rahma, Eugene Kharitonov, Emmanuel Dupoux, and Marco Baroni
    2021 Communicating artificial neural networks develop efficient color-naming systems. Proceedings of the National Academy of Sciences of the U.S.A.118(12). e2016569118. 10.1073/pnas.2016569118
     https://doi.org/10.1073/pnas.2016569118 [Google Scholar]
  9. Conway, Bevil R., Sivalogeswaran Ratnasingam, Julian Jara-Ettinger, Richard Futrell, and Edward Gibson
    2020 Communication efficiency of color naming across languages provides a new framework for the evolution of color terms. Cognition1951. 104086. 10.1016/j.cognition.2019.104086
     https://doi.org/10.1016/j.cognition.2019.104086 [Google Scholar]
  10. Corbett, Greville G. and Ian R. L. Davies
    1995 Linguistics and behavioural measures for ranking basic colour terms. Studies in Language19(2). 301–357. 10.1075/sl.19.2.02cor
     https://doi.org/10.1075/sl.19.2.02cor [Google Scholar]
  11. Corbett, Greville G. and Gerry Morgan
    1988 Colour terms in Russian: Reflections of typological constraints in a single language. Journal of Linguistics24(1). 31–64. https://www.jstor.org/stable/4175920. 10.1017/S0022226700011555
     https://doi.org/10.1017/S0022226700011555 [Google Scholar]
  12. Dal, Vladimir
    1863–1866 Tolkovyj slovat’ živogo velikorusskogo jazyka [Explanatory dictionary of the living Great Russian language]. St. Petersburg: Imperial Academy of Sciences (in Russian).
     [Google Scholar]
  13. Davies, Ian R. L. and Greville G. Corbett
    1994 The basic color terms of Russian. Linguistics32(1). 65–89. 10.1515/ling.1994.32.1.65
     https://doi.org/10.1515/ling.1994.32.1.65 [Google Scholar]
  14. Decock, Lieven
    2021 Conceptual change and conceptual engineering: the case of colour concepts. Inquiry64(1–2). 168–185. 10.1080/0020174X.2020.1784783
     https://doi.org/10.1080/0020174X.2020.1784783 [Google Scholar]
  15. Falla, Paul S.
    1984 The Oxford English–Russian dictionary. Oxford: Clarendon Press.
     [Google Scholar]
  16. Forbes, Isabel
    1979 The terms brun and marron in modern standard French. Journal of Linguistics15(2). 295–305. 10.1017/S0022226700016406
     https://doi.org/10.1017/S0022226700016406 [Google Scholar]
  17. 2006 Age-related differences in the basic colour vocabulary of French. InCarole P. Biggam and Christian J. Kay (eds.), Progress in colour studies. Vol. I: Language and culture, 101–109. Amsterdam/Philadelphia: John Benjamins. 10.1075/z.pics1.12for
     https://doi.org/10.1075/z.pics1.12for [Google Scholar]
  18. Frumkina, Rebecca M.
    1984 Cvet, smysl, sxodstvo. Aspekty psixolingvističeskogo analiza [Colour, meaning, and similarity: Aspects of a psycholinguistic analysis]. Moscow: Nauka (in Russian).
     [Google Scholar]
  19. Frumkina, Rebecca M. and Alexei V. Mikhejev
    1996 Meaning and categorization. New York: Nova Science.
     [Google Scholar]
  20. Gage, John
    1999 What meaning had colour in early societies?Cambridge Archaeological Journal91. 109–126. 10.1017/S0959774300015237
     https://doi.org/10.1017/S0959774300015237 [Google Scholar]
  21. Gibbons, Jean D. and Subhabrata Chakraborti
    2010 Nonparametric statistical inference. 5th ed.Boca Raton, FL: Taylor & Francis/CRC Press. 10.1201/9781439896129
     https://doi.org/10.1201/9781439896129 [Google Scholar]
  22. Gippius, Alexei A.
    2020 Berestjanye gramoty iz raskopok 2019 g. v Velikom Novgorode i Staroj Russe [Birchbark letters from Veliky Novgorod and Staraya Russa excavations of 2019]. Voprosy Jazykoznanija, Iss.5, 22–37 (in Russian). 10.31857/0373‑658X.2020.5.22‑37
     https://doi.org/10.31857/0373-658X.2020.5.22-37 [Google Scholar]
  23. Google Books Ngram
    Google Books Ngram 2020 https://books.google.com/ngrams
  24. Greenfeld, Philip J.
    1986 What is grey, brown, pink, and sometimes purple: The range of “wild-card” color terms. American Anthropologist88(4). 908–916. https://www.jstor.org/stable/679079. 10.1525/aa.1986.88.4.02a00080
     https://doi.org/10.1525/aa.1986.88.4.02a00080 [Google Scholar]
  25. Gulordava, Kristina and Marco Baroni
    2011 A distributional similarity approach to the detection of semantic change in the Google Books Ngram corpus. InProceedings of the GEMS 2011 Workshop on Geometrical Models of Natural Language Semantics. 67–71. https://aclanthology.org/W11-2508
     [Google Scholar]
  26. Haynie, Hannah J. and Claire Bowern
    2016 Phylogenetic approach to the evolution of color term systems. Proceedings of the National Academy of Science of the U.S.A.113(48). 13666–13671. 10.1073/pnas.1613666113
     https://doi.org/10.1073/pnas.1613666113 [Google Scholar]
  27. Heaps, Harold S.
    1978 Information retrieval: Computational and theoretical aspects, 206–208. New York: Academic Press.
     [Google Scholar]
  28. Herne, Gunnar
    1954 Die Slavischen Farbenbenennungen. Eine semasiologisch-etymologische Untersuchung. Uppsala: Almqvist & Wiksells.
     [Google Scholar]
  29. Hill, Peter M.
    1972 Die Farbwörter der russischen und bulgarischen Schriftsprachen der Gegenwart (Versuch einer Klassifikation und einer strukturell-semantischen Analyse). Amsterdam: Adolph M. Hakkert.
     [Google Scholar]
  30. Hilpert, Martin and Stefan T. Gries
    2009 Assessing frequency changes in multistage diachronic corpora: Application for historical corpus linguistics and the study of language acquisition. Literary and Linguistic Computing24(4). 385–401. 10.1093/llc/fqn012
     https://doi.org/10.1093/llc/fqn012 [Google Scholar]
  31. 2016 Quantitative approaches to diachronic corpus linguistics. InMerja Kytö and Pāivi Pahta (eds.), The Cambridge handbook of English historical linguistics, 36–53. Cambridge, UK: Cambridge University Press. 10.1017/CBO9781139600231.003
     https://doi.org/10.1017/CBO9781139600231.003 [Google Scholar]
  32. Holland, Paul W. and Roy E. Welsch
    1977 Robust regression using iteratively reweighted least-squares. Communications in Statistics – Theory and Methods6(9). 813–827. 10.1080/03610927708827533
     https://doi.org/10.1080/03610927708827533 [Google Scholar]
  33. Jameson, Kimberly A. and Roy G. D’Andrade
    1997 It’s not really red, green, yellow, blue: An inquiry into cognitive color space. InClyde L. Hardin & Luisa Maffi (eds.), Color categories in thought and language, 295–318. Cambridge, MA: Cambridge University Press. 10.1017/CBO9780511519819.014
     https://doi.org/10.1017/CBO9780511519819.014 [Google Scholar]
  34. Joula, Patrick
    2003 The time course of language change. Computers and the Humanities371. 77–96. 10.1023/A:1021839220474
     https://doi.org/10.1023/A:1021839220474 [Google Scholar]
  35. Jraissati, Yasmina and Igor Douven
    2017 Does optimal partitioning of color space account for universal color categorization?PLoS ONE12(6). e0178083. 10.1371/journal.pone.0178083
     https://doi.org/10.1371/journal.pone.0178083 [Google Scholar]
  36. Kay, Paul
    2015 Universality of color categorization. InAndrew J. Elliot, Mark D. Fairchild, and Anna Franklin (eds.), Handbook of color psychology, 245–258. Cambridge, UK: Cambridge University Press. 10.1017/CBO9781107337930.012
     https://doi.org/10.1017/CBO9781107337930.012 [Google Scholar]
  37. Kay, Paul and Luisa Maffi
    1999 Color appearance and the emergence and evolution of basic color lexicons. American Anthropologist1011. 743–760. 10.1525/aa.1999.101.4.743
     https://doi.org/10.1525/aa.1999.101.4.743 [Google Scholar]
  38. Koplenig, Alexander
    2017 The impact of lacking metadata for the measurement of cultural and linguistic change using the Google Ngram data sets – Reconstructing the composition of the German corpus in times of WWII. Digital Scholarship in the Humanities32(1). 169–188. 10.1093/llc/fqv037
     https://doi.org/10.1093/llc/fqv037 [Google Scholar]
  39. Koptjevskaja-Tamm, Maria, Ekaterina Rakhilina, and Martine Vanhove
    2015 The semantics of lexical typology. InNick Riemer (ed.), The Routledge handbook of semantics, 434–454. London & New York: Routledge.
     [Google Scholar]
  40. Krivko, Roman
    2021 Old East Slavic. InCarole P. Biggam and Kirsten Wolf (eds.), A cultural history of color in the Medieval Age, 124–128. London: Bloomsbury.
     [Google Scholar]
  41. Kulkarni, V., Al-Rfou, R., Perozzi, B., & Skiena, S.
    (2015) Statistically significant detection of linguistic change. InProceedings of the 24th International Conference on World Wide Web, May 2015, Florence (pp.625–635). 10.1145/2736277.2741627
     https://doi.org/10.1145/2736277.2741627 [Google Scholar]
  42. Kul’pina, Valentina G.
    2001 Lingvistika cveta. Terminy cveta v pol’skom i russkom jazykax [Linguistics of colour. Colour terms in Polish and Russian]. Moscow: Russkie slovari (in Russian).
     [Google Scholar]
  43. 2007 Sistema cvetooboznačenij russkogo jazyka [The system of Russian colour terms]. InAleksandr P. Vasilevich (ed.), Naimenovanija cveta v indoevropejskix jazykax: Sistemnyj i istoričeskij analiz [Colour terms in Indo-European languages: Systematic and historical analysis], 126–184. Moscow: KomKniga (in Russian).
     [Google Scholar]
  44. 2019 Lingvističeskaja cvetologija: ot istorii k sovremennosti cvetovyx konceptosfer [Linguistic colour theory: From history to modernity of coloristic conceptual spheres]. Moscow: MAKS Press (in Russian).
     [Google Scholar]
  45. Levinson, Stephen C.
    2000 Yélî Dnye and the theory of basic color terms. Journal of Linguistic Anthropology10(1). 3–55. 10.1525/jlin.2000.10.1.3
     https://doi.org/10.1525/jlin.2000.10.1.3 [Google Scholar]
  46. Lin, Yuri, Jean-Baptiste Michel, Erez L. Aiden, Jon Orwant, Will Brockman, and Slav Petrov
    2012 Syntactic annotations for the Google Books Ngram corpus. InProceedings of the ACL 2012 System Demonstrations, 169–174. Association for Computational Linguistics. https://aclanthology.org/P12-3029
     [Google Scholar]
  47. Lopatin, Vladimir V.
    2013 Tolkovyj slovar’ sovremennogo russkogo jazyka [A glossary of modern Russian]. Moscow: Èksmo (in Russian).
     [Google Scholar]
  48. Lucy, John A.
    1997 The linguistics of “color”. InClyde L. Hardin and Luisa Maffi (eds.), Color categories in thought and language, 320–346. Cambridge, UK: Cambridge University Press. 10.1017/CBO9780511519819.015
     https://doi.org/10.1017/CBO9780511519819.015 [Google Scholar]
  49. Lyashevskaya, Olga N. and Sergei A. Sharov
    2009 Častotnyj slovar’ sovremennogo russkogo jazyka (na naterialax Nacional’nogo korpusa russkogo jazyka) [Frequency dictionary of the modern Russian language (the Russian National Corpus)]. Moscow: Azbukovnik (in Russian).
     [Google Scholar]
  50. Lyons, John
    1995 Colour in language. InTrevor Lamb, and Janine Bourriau (eds.), Colour: Art and science, 194–234. Cambridge, UK: Cambridge University Press.
     [Google Scholar]
  51. MacLaury, Robert E.
    1991 Social and cognitive motivations of change: Measuring variability in color semantics. Language67(1). 34–62. https://www.jstor.org/stable/415538
     [Google Scholar]
  52. 1992 From brightness to hue: An explanatory model of color-term evolution [and comments and reply]. Current Anthropology33(2). 137–186. www.jstor.com/stable/2743839
     [Google Scholar]
  53. 1997 Color and cognition in Mesoamerica: Constructing categories as vantages. Austin, TX: University of Texas Press.
     [Google Scholar]
  54. 2007 Categories of desaturated-complex color. Sensorial, perceptual, and cognitive models. InRobert E. MacLaury, Galina V. Paramei, and Don Dedrick (eds.), Anthropology of color: Interdisciplinary multilevel modeling, 125–150. Amsterdam/Philadelphia: John Benjamins. 10.1075/z.137.10mac
     https://doi.org/10.1075/z.137.10mac [Google Scholar]
  55. Michel, Jean-Baptiste, Yuan K. Shen, Aviva P. Aiden, Adrian Veres, A.
    2011 Quantitative analysis of culture using millions of digitized books. Science331(6014). 176–182. 10.1126/science.1199644
     https://doi.org/10.1126/science.1199644 [Google Scholar]
  56. Morgan, Gerry and Greville Corbett
    1989 Russian colour term salience. Russian Linguistics13(2). 125–141. https://www.jstor.org/stable/40160229. 10.1007/BF02551669
     https://doi.org/10.1007/BF02551669 [Google Scholar]
  57. Nicklas, Charlotte
    2017 New words and fanciful names: Dyes, color and fashion in the mid-nineteenth century. InRegina L. Blaszczyk and Uwe Spiekermann (eds.), Bright modernity. Color, commerce and consumer culture, 97–111. New York: Palgrave McMillan. 10.1007/978‑3‑319‑50745‑3_5
     https://doi.org/10.1007/978-3-319-50745-3_5 [Google Scholar]
  58. OpenCorpora
    OpenCorpora, n.d.opencorpora.org/dict.php
  59. Paramei, Galina V. and David L. Bimler
    2021 Language and psychology. InAnders Steinvall and Sarah Street (eds.), A cultural history of color. The Modern Age: From 1920 to present, 117–134. London: Bloomsbury.
     [Google Scholar]
  60. Paramei, Galina V., Yulia A. Griber, and Dimitris Mylonas
    2018 An online color naming experiment in Russian using Munsell color samples. Color Research & Application43(3). 358–374. 10.1002/col.22190
     https://doi.org/10.1002/col.22190 [Google Scholar]
  61. Pechenick, Eitan A., Christopher M. Danforth, and Peter S. Dodds
    2015 Characterizing the Google Books corpus: Strong limits to inferences of socio-cultural and linguistic evolution. PLoS ONE10(10). e0137041. 10.1371/journal.pone.0137041
     https://doi.org/10.1371/journal.pone.0137041 [Google Scholar]
  62. Peers, E. Allison, José V. Barragán, Francesco A. Vinyals, and Jorge A. Mora
    (eds.) 1959 Cassell’s Spanish Dictionary: Spanish-English, English-Spanish. New York: Funk & Wagnalls.
     [Google Scholar]
  63. Rakhilina, Ekaterina V.
    2007a Linguistic construal of colors: The case of Russian. InRobert E. MacLaury, Galina V. Paramei, and Don Dedrick (eds.), Anthropology of color: Interdisciplinary multilevel modeling, 363–377. Amsterdam/Philadelphia: John Benjamins. 10.1075/z.137.24rak
     https://doi.org/10.1075/z.137.24rak [Google Scholar]
  64. 2007b O semantike prilagatel’nyx cveta [On semantics of colour adjectives]. InAleksandr P. Vasilevich (ed.), Naimenovanija cveta v indoevropejskix jazykax: Sistemnyj i istoričeskij analiz [Colour terms in Indo-European languages: Systematic and historical analysis], 29–39. Moscow: KomKniga (in Russian).
     [Google Scholar]
  65. 2008 Kognitivnyj analiz predmetnyx imen: semantika i sočetaemost’ [Cognitive analysis of object names: Semantics and combinability]. 2nd ed. Moscow: Russkie slovari (in Russian).
     [Google Scholar]
  66. Rakhilina, Ekaterina V. and Galina V. Paramei
    2011 Colour terms: Evolution via expansion of taxonomic constraints. InCarole P. Biggam, Carole A. Hough, Christian J. Kay, and David R. Simmons (eds.), New directions in colour studies, 121–131. Amsterdam/Philadelphia: John Benjamins. 10.1075/z.167.15rak
     https://doi.org/10.1075/z.167.15rak [Google Scholar]
  67. Regier, Terry, Paul Kay, and Khetarpal
    2007 Color naming reflects optimal partitions of color space. Proceedings of the National Academy of Sciences of the U.S.A.104(4). 1436–1441. 10.1073/pnas.0610341104
     https://doi.org/10.1073/pnas.0610341104 [Google Scholar]
  68. Richey, Sean and J. Benjamin Taylor
    (2020) Google Books Ngrams and political science: Two validity tests for a novel data source. PS: Political Science & Politics53(1). 72–77. 10.1017/S1049096519001318
     https://doi.org/10.1017/S1049096519001318 [Google Scholar]
  69. Russian National Corpus
    Russian National Corpus, n.d.https://ruscorpora.ru/en/
  70. Safuanova, Olga V. and Nina N. Korzh
    2007 Russian color names. Mapping into a perceptual color space. InRobert E. MacLaury, Galina V. Paramei, and Don Dedrick (eds.), Anthropology of color: Interdisciplinary multilevel modeling, 55–74. Amsterdam/Philadelphia: John Benjamins. 10.1075/z.137.06saf
     https://doi.org/10.1075/z.137.06saf [Google Scholar]
  71. Saunders, Barbara A. C. and Jan van Brakel
    1997 Are there non-trivial constraints on colour categorisation?Behavioral and Brain Sciences20(2). 167–228. 10.1017/S0140525X97001428
     https://doi.org/10.1017/S0140525X97001428 [Google Scholar]
  72. Slovari russkogo jazyka 11–17 vekov: Ètimologija i istorija slov russkogo jazyka [Dictionaries of the Russian language of the 11th–17th centuries: Etymology and history of Russian words] 1975– Moscow: Nauka (in Russian).
     [Google Scholar]
  73. Slovar’ Akademii Rossijskoj [Dictionary of the Russian Academy] (1789–1794) St. Petersburg: Imperial Academy of Sciences (in Russian).
     [Google Scholar]
  74. Solovyev, Valery D., Vladimir V. Bochkarev, and Svetlana S. Akhtyamova
    2020 Google Books Ngram: Problems of representativeness and data reliability. InAlexander Elizarov, Boris Novikov, and Sergey Stupnikov (eds.), Data Analytics and Management in Data Intensive Domains. DAMDID/RCDL 2019. Communications in Computer and Information ScienceVol.12231, 147–162. Cham: Springer. 10.1007/978‑3‑030‑51913‑1_10
     https://doi.org/10.1007/978-3-030-51913-1_10 [Google Scholar]
  75. Steels, Luc
    2011 Modeling the cultural evolution of language. Physics of Life Reviews8(4). 339–356. 10.1016/j.plrev.2011.10.014
     https://doi.org/10.1016/j.plrev.2011.10.014 [Google Scholar]
  76. Steels, Luc and Tom Belpaeme
    2005 Coordinating perceptually grounded categories through language: A case study for colour. Behavioral and Brain Sciences281. 469–489. 10.1017/S0140525X05000087
     https://doi.org/10.1017/S0140525X05000087 [Google Scholar]
  77. Steinvall, Anders
    2002 English colour terms in context. PhD thesis. Umeå University.
     [Google Scholar]
  78. Street, James O., Raymond J. Carroll, and David Ruppert
    1988 A note on computing robust regression estimates via iteratively reweighted least squares. The American Statistician42(2). 152–154. 10.2307/2684491
     https://doi.org/10.2307/2684491 [Google Scholar]
  79. Swearingen, Andrew
    2014 From blood to worms: The semantic evolution of a Portuguese colour term. InWendy Anderson, Carole P. Biggam, Carole Hough, and Christian Kay (eds.), Colour studies: A broad spectrum, 79–92. Amsterdam/Philadelphia: John Benjamins. 10.1075/z.191.05swe
     https://doi.org/10.1075/z.191.05swe [Google Scholar]
  80. Tahmasebi, Nina, Lars Borin, and Adam Jatowt
    2021 Survey of computational approaches to lexical semantic change detection. InNina Tahmasebi, Lars Borin, Adam Jatowt, Yang Xu, and Simon Hengchen (eds.), Computational approaches to semantic change, 1–9. Berlin: Language Science Press. https://langsci-press.org/catalog/book/303
     [Google Scholar]
  81. Tang, Xuri
    2018 A state-of-the-art of semantic change computation. Natural Language Engineering24(5). 649–676. 10.1017/S1351324918000220
     https://doi.org/10.1017/S1351324918000220 [Google Scholar]
  82. Ulukhanov, Igor S.
    2015 Glagol’noe slovoobrazovanie sovremennogo russkogo jazyka [Adverbial derivation of modern Russian]. Vol.I1. Glagoly, motivirovannye imenami i meždometijami [The verbs motivated by proper names and interjections]. Moscow: Azbukovnik (in Russian).
     [Google Scholar]
  83. van Leijenhorst, Dick C., and Theo P. van der Weide
    2005 A formal derivation of Heaps’ Law. Information Sciences170(2–4). 263–272. 10.1016/j.ins.2004.03.006
     https://doi.org/10.1016/j.ins.2004.03.006 [Google Scholar]
  84. Vasilevich, Alexandr P., Svetlana N. Kuznecova, and Sergei S. Mishchenko
    2016 Cvet i nazvanija cveta v russkom jazyke [Colour and colour terms in the Russian language]. Moscow: LCI Publisher (in Russian).
     [Google Scholar]
  85. Villanueva Gesteira, María D.
    2009 O campo semántico das cores visto por tres xeracións [The semantic domain of colours viewed by three generations]. Estudos de Lingüística Galega11. 169–188 (in Galician).
     [Google Scholar]
  86. Werner, Heinz
    2004 Comparative psychology of mental development (with a new prologue byMargery B. Franklin). Clinton Corners, NY: Percheron Press. 10.2307/j.ctv2sx9g4p
     https://doi.org/10.2307/j.ctv2sx9g4p [Google Scholar]
  87. Wierzbicka, Anna
    2005 There are no “color universals” but there are universals of visual semantics. Anthropological Linguistics471. 217–244. https://www.jstor.org/stable/25132327
     [Google Scholar]
  88. Worth, Dean S., Andrew S. Kozak, and Donald B. Johnson
    1970 Russian derivational dictionary. New York: Elsevier.
     [Google Scholar]
  89. Zaslavsky, Noga, Charles Kemp, Naftali Tishby, and Terry Regier
    2020 Communicative need in color naming. Cognitive Neuropsychology371. 312–324. 10.1080/02643294.2019.1604502
     https://doi.org/10.1080/02643294.2019.1604502 [Google Scholar]
  90. Zaslavsky, Noga, Karee Garvin, Charles Kemp, Naftali Tishby, and Terry Regier
    2022 The evolution of color naming reflects pressure for efficiency: Evidence from the recent past. Journal of Language Evolution. Early view. lzac001. 10.1093/jole/lzac001
     https://doi.org/10.1093/jole/lzac001 [Google Scholar]
/content/journals/10.1075/dia.22013.boc
Loading
Linguistic mechanisms of colour term evolution
Diachronica 40, 492 (2023); https://doi.org/10.1075/dia.22013.boc
/content/journals/10.1075/dia.22013.boc
/content/journals/10.1075/dia.22013.boc
Loading

Data & Media loading...

  • Article Type: Research Article
Keyword(s): colour term collocational dynamics; computational linguistics; diachronic distributional analysis; Google Books Ngram; linguistic colour term evolution; “Russian browns”

Most Cited

This is a required field
Please enter a valid email address
Approval was successful
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error