The Syllable Type and Token Frequency Effect in Naming Task

명명 과제에서 음절 토큰 및 타입 빈도 효과

  • Kwon, Youan (Multilingualism & Multiculturalism Research Center, Konkuk University)
  • 권유안 (건국대학교 다문화 다언어 연구소)
  • Received : 2014.03.23
  • Accepted : 2014.04.11
  • Published : 2014.06.30

Abstract

The syllable frequency effect is defined as the inhibitory effect that words starting with high frequency syllable generate a longer lexical decision latency and a larger error rate than words starting with low frequency syllable do. Researchers agree that the reason of the inhibitory effect is the interference from syllable neighbors sharing a target's first syllable at the lexical level and the degree of the interference effect correlates with the number of syllable neighbors or stronger syllable neighbors which have a higher word frequency. However, although the syllable frequency can be classified as the syllable type and token frequency, previous studies in visual word recognition have used the syllable frequency without the classification. Recently Conrad, Carreiras, & Jacobs (2008) demonstrated that the syllable type frequency might reflect a sub-lexical processing level including matching from letters to syllables and the syllable token frequency might reflect competitions between a target and higher frequency words of syllable neighbors in the whole word lexical processing level. Therefore, the present study investigated their proposals using word naming tasks. Generally word naming tasks are more sensitive to sub-lexical processing. Thus, the present study expected a facilitative effect of high syllable type frequency and a null effect of high syllable token frequency. In Experiment 1, words starting with high syllable type frequency generated a faster naming latency than words starting with low syllable type frequency with holding syllable token frequency of them. In Experiment 2, high syllable token frequency also created a shorter naming time than low syllable token frequency with holding their syllable type frequency. For that reason, we rejected the propose of Conrad et al. and suggested that both type and token syllable frequency could relate to the sub-lexical processing.

음절 빈도 효과란 고빈도 음절로 시작되는 단어가 저빈도 음절로 시작되는 단어에 비해 어휘 판단 속도가 느리며 어휘 판단 오류율도 증가하는 효과를 의미한다. 이 효과를 유발하는 원인은 전체 단어 수준에서 활성화된 음절 이웃 단어의 방해로 알려져 있으며 이 방해의 크기는 표적 단어가 얼마나 많은 음절 이웃 단어를 또는 얼마나 강력한 음절 이웃 단어를 가지고 있는지에 의해 결정된다. 그러나 음절 빈도의 정의가 음절 타입 빈도와 토큰 빈도로 구분됨에도 불구하고 이를 구분하지 않고 많은 연구들이 수행되어 왔다. 최근 Conrad, Carreiras, & Jacobs(2008)에 따르면 음절 토큰 빈도는 전체 단어 처리 수준을 반영하는 변인이며 음절 타입 빈도는 하위 어휘 처리 수준의 음절 처리 수준을 반영하는 변인일 수 있다고 주장하였다. 이에 본 연구는 이들의 주장이 맞다면 음절 타입 빈도는 단어 명명 속도를 촉진 시킬 것이며 반대로 음절 토큰 빈도는 명명 시간과 관련 없을 것이라고 예측하였다. 왜냐하면 표기 심도가 얕고 음절의 경계가 명확한 언어에서 명명 과제는 전체 단어수준을 덜 참고하기 때문이었다. 실험 1결과에서 음절 토큰 빈도를 통제한 상태에서 고빈도 타입음절의 단어 명명 시간은 유의미하게 짧았다. 실험 2에서 음절 타입 빈도를 통제한 상태에서 음절토큰 빈도의 증가는 명명 시간을 역시 단축시켰다. 이에 본 연구는 음절 토큰 빈도가 하위 어휘 처리와 무관하다는 Conrad, Carreiras, & Jacobs(2008)의 주장을 반박하였다.

Keywords

References

  1. Seidenberg, M., & McClelland, J. L. (1989). A distributed, developmental model of visual word recognition and naming. Psychological Review, 96, 4, 523-568.
  2. Carreiras, M., Alvarez, J. C., & De Vega, M. (1993). Syllable frequency and visual word recognition in Spanish. Journal of Memory and Language, 32, 766-780. https://doi.org/10.1006/jmla.1993.1038
  3. Kwon, Y., Lee, C., Lee., K., & Nam, K. (2011). The inhibitory effect of phonological syllables, rather than orthographic syllables, as evidenced in Korean lexical decision tasks. Psychologia, 54, 1-14. https://doi.org/10.2117/psysoc.2011.1
  4. Conrad, M., & Jacobs, A. M. (2004). Replicating syllable frequency effects in Spanish in German: one more challenge to computational models of visual word recognition. Langauge and Cognitive processes, 19(3), 369-390. https://doi.org/10.1080/01690960344000224
  5. Mathey, S., Zagar, D., Doignon, N., & Seigneuric, A. (2006). The nature of the syllabic neighborhoods effect in French. Acta Psychologica, 123, 372-393. https://doi.org/10.1016/j.actpsy.2006.02.003
  6. Kwon, Y., Lee, Y., & Nam, K. (2011). The different P200 effects of phonological and orthographic syllable frequency in visual word recognition in Korean. Neuroscience Letters, 501(2), 117-121. https://doi.org/10.1016/j.neulet.2011.06.060
  7. Hutzler, F., Bergmann, J., Conrad, M., Kronbichler, M., Stenneken, P., & Jacobs, A. M. (2004). Inhibitory effects of first syllable-frequency in lexical decision: an event-related potential study. Neuroscience Letters, 372(3), 179-184. https://doi.org/10.1016/j.neulet.2004.07.050
  8. Barber, H., Vergara, M., & Carreiras, M. (2004). Syllable-frequency effects in visual word recognition: Evidence from ERPs. Neuroreport, 15(3), 545-548. https://doi.org/10.1097/00001756-200403010-00032
  9. Conrad, M., Grainger, J., & Jacobs, A. M. (2007). Phonology as the source of syllable frequency effects in visual word recognition: Evidence from French. Memory and Cognition, 35(5), 974-983. https://doi.org/10.3758/BF03193470
  10. Perea, M., & Carreiras, M. (1998). Effects of syllable frequency and syllable neighborhood frequency in visual word recognition. Journal of Experimental Psychology: Human Perception & Performance, 24, 134-144. https://doi.org/10.1037/0096-1523.24.1.134
  11. Grainger, J., & Jacobs, A. M. (1996). Orthographic processing in visual word recognition: A multiple read-out model. Psychological Review, 103, 518-565. https://doi.org/10.1037/0033-295X.103.3.518
  12. Conrad, M., Carreiras, M., Tamm, S., & Jacobs, A. M. (2009). Syllables and bigrams: Orthographic redundancy and syllabic units affect visual word recognition at different processing levels. Journal of Experimental Psychology-Human Perception and Performance, 35(2), 461-479. https://doi.org/10.1037/a0013480
  13. Conrad, M., Carreiras, M., & Jacobs, A. M. (2008). Contrasting effects of token and type syllable frequency in lexical decision. Language and Cognitive Processes, 23(2), 296- 326. https://doi.org/10.1080/01690960701571570
  14. Kwon, Y., Nam, K., & Lee, Y. (2012). ERP index of the morphological family size effect during word recognition. Neuropsychologia, 50, 3385-3391. https://doi.org/10.1016/j.neuropsychologia.2012.09.041
  15. Carreiras, M., & Perea, M. (2004). Naming pseudowords in Spanish: Effects of syllable frequency. Brain & Language, 90, 393-400. https://doi.org/10.1016/j.bandl.2003.12.003
  16. Conrad, M., Stenneken, P., & Jacobs, A. M. (2006). Associated or dissociated effects of syllable frequency in lexical decision and naming. Psychonomic Bulletin & Review, 13(2), 339-345. https://doi.org/10.3758/BF03193854
  17. 김흥규, 강범모. (2008). 한국어 단어와 형태소의 사용 빈도 1500만 어절의 세종형태 의미 분석 말뭉치 기반. 서울: 고려대학교 민족문화연구원.
  18. Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008). Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language, 59, 390-412. https://doi.org/10.1016/j.jml.2007.12.005
  19. Winter, B. (2013). Linear models and linear mixed effects models in R with linguistic applications. arXiv:1308.5499. [http://arxiv.org/pdf/1308.5499.pdf]
  20. Cholin, J., Schiller, N. O., & Levelt, W. J. M. (2004). The preparation of syllables in speech production. Journal of Memory and Language, 50, 47-61. https://doi.org/10.1016/j.jml.2003.08.003
  21. Cholin, J., Levelt, W. J. M., & Schiller, N. O. (2006). Effects of syllable frequency in speech production. Cognition, 99, 205-235. https://doi.org/10.1016/j.cognition.2005.01.009
  22. Ferrand, L., Segui, J., & Grainger, J. (1996). Masked priming of word and picture naming: the role of syllabic units, Journal of Memory and Language, 35, 708-723. https://doi.org/10.1006/jmla.1996.0037
  23. Cholin, J., Levelt, W. J. M., & Schiller, N. O. (2006). Effects of syllable frequency in speech production. Cognition, 99, 205-235. https://doi.org/10.1016/j.cognition.2005.01.009
  24. Holcomb, P. J., Grainger, J., & O'Rourke, T. (2002). An electrophysiological study of the effects of orthographic neighborhood size on printed word perception. Journal of Cognitive Neuroscience, 14(6), 938-950. https://doi.org/10.1162/089892902760191153