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Pages : 19-40

DOI : https://doi.org/10.24303/lakdoi.2022.30.4.19

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Abstract

Kim, Sun-Hoi. (2022). The distributional characteristics in the frequency of Korean and English number words. The Linguistic Association of Korea Journal, 30(4), 19-40. The goal of this paper is to identify the distributional characteristics in the frequency of Korean and English number words through quantitatively analyzing their frequency data. The frequency distributions of number words were visualized and the correlation between the magnitude of numbers and the frequency of number words were measured through Spearmans and Kendalls correlation coefficients because the frequency distributions of number words did not follow the normal distribution. This paper shows that the main cross-linguistic characteristics in the frequency of number words, which were reported in Dehaene & Mehler (1992) and Jansen & Pollmann (2001), are also observed in Korean and English: the smaller the number, the more frequent the number words and the local increase effect of reference numbers on the frequency distributions. However, this paper additionally shows that the language-particular number system also affects the frequency distributions of number words.

Keywords

# ±âÁؼö(reference number) # ºóµµ ºÐÆ÷(frequency distribution) # »ó°ü°ü°è ºÐ¼®(correlation analysis) # ¼ö ´Ü¾î(number word) # Á¤±Ô ºÐÆ÷ (normal distribution)

References

  • °­¹ü¸ð, ±èÈï±Ô. (2009). Çѱ¹¾î »ç¿ë ºóµµ. ¼­¿ï: Çѱ¹¹®È­»ç.
  • À±Èñ¼ö, À̼±¿õ. (2018). Çѱ¹¾î ±³À°À» À§ÇÑ ¼ö·®»ç±¸ ¿¬±¸: ¸»¹¶Ä¡ ºÐ¼®À» Áß½ÉÀ¸·Î. ÇѹÎÁ·¹®È­¿¬±¸, 62, 139-172.
  • ±¹¸³±¹¾î¿ø. (1999). Ç¥Áر¹¾î´ë»çÀü. ¼­¿ï: µÎ»êµ¿¾Æ.
  • Baayen, R. H. (2001). Word frequency distributions. Dordrecht: Springer.
  • Clauset, A., Shalizi, C. R., & Newman, M. E. J. (2009). Power-law distributions in empirical data. SIAM Rev, 51, 661-703.
  • Davies, M. (2008). The corpus of contemporary American English (COCA). Available online at https://www.english-corpora.org/coca/.
  • Davies, M. (2010). The corpus of contemporary American English as the first reliable monitor corpus of English. Literary and Linguistic Computing, 25(4), 447-464.
  • Dehaene, S., & Mehler, J. (1992). Cross-linguistic regularities in the frequency of number words. Cognition, 43(1). 1-29.
  • Jäger, G. (2012). Power laws and other heavy-tailed distributions in linguistic typology. Advances in Complex Systems, 15(3). 1-21.
  • Jansen, C. J. M., & Pollmann, M. M. W. (2001). On round numbers: Pragmatic aspects of numerical expressions. Journal of Quantitative Linguistics, 8(3), 187-201.
  • Pollmann, M. M. W., & Jansen, C. J. M. (1996). The language user as an arithmetician. Cognition, 59, 219-237.
  • R Development Core Team. (2019). R: A language and environment for statistical computing (Version 3.6.0). http://www.r-project.org.
  • Rosch, E. (1975). Cognitive reference points. Cognitive Psychology, 7, 532-547.
  • Sigurd, B. (1988). Round numbers. Language in Society, 17, 243-252.