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Attention, Perception, & Psychophysics

, Volume 81, Issue 1, pp 323–343 | Cite as

Effects of lexical ambiguity, frequency, and acoustic details in auditory perception

  • Chelsea SankerEmail author
Article

Abstract

This paper presents a set of auditory perception experiments testing the effects of lexical ambiguity, lemma frequency, and acoustic details. In an AX discrimination task with stimuli produced in isolation, lexically ambiguous phonologically matching forms (e.g., sun-sun, sun-son) were evaluated more slowly and identified as ‘different’ more often than lexically unambiguous forms (e.g., cat-cat). For stimuli extracted from meaningful sentences, pairs of homophone mates (sun-son) were evaluated more slowly than same pairs of such words (sun-sun), following from the greater acoustic distance between homophone mates in several measures. The individual lexical frequency of homophone mates was a significant factor in both identification tasks, though frequency effects in the AX tasks were weaker and driven by the lexically unambiguous items. In both studies, greater acoustic distance between items was a predictor of longer response times, though the significance of particular acoustic measures varied. Identification of homophone mates also depended on context of production; listeners were above chance accuracy for choosing between homophone mates extracted from sentences, but not for homophone mates produced in isolation. While results for stimuli produced in sentential contexts indicate that listeners are sensitive to acoustic details and can weakly associate production patterns with lexical items, the absence of such differences for homophone mates produced in isolation suggests that these details are not an inherent part of the representation.

Keywords

Phonology Speech perception Psycholinguistics 

Notes

Acknowledgements

I would like to thank Shu-hao Shih for asking the question that inspired this project.

References

  1. Andruski, J.E., Blumstein, S.E., & Burton, M. (1994). The effect of subphonetic differences on lexical access. Cognition, 52(3), 163–187.PubMedGoogle Scholar
  2. Antón-Méndez, I., Schütze, C. T., Champion, M.K., & Gollan, T.H. (2012). What the tip-of-the-tongue (tot) says about homophone frequency inheritance. Memory & Cognition, 40(5), 802–811.Google Scholar
  3. Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1–48.Google Scholar
  4. Beretta, A., Fiorentino, R., & Poeppel, D. (2005). The effects of homonymy and polysemy on lexical access: An MEG study. Cognitive Brain Research, 24(1), 57–65.PubMedGoogle Scholar
  5. Biedermann, B., & Nickels, L. (2008). Homographic and heterographic homophones in speech production: Does orthography matter? Cortex, 44(6), 683–697.PubMedGoogle Scholar
  6. Binder, K.S., & Rayner, K. (1998). Contextual strength does not modulate the subordinate bias effect: Evidence from eye fixations and self-paced reading. Psychonomic Bulletin & Review, 5(2), 271–276.Google Scholar
  7. Boersma, P., & Weenink, D. (2017). Praat: Doing phonetics by computer [computer program]. version 6.0.30. http://www.praat.org/
  8. Bond, Z.S. (1973). The perception of sub-phonemic phonetic differences. Language and Speech, 16(4), 351–355.PubMedGoogle Scholar
  9. Borowsky, R., & Masson, M.E.J. (1996). Semantic ambiguity effects in word identification. Journal of Experimental Psychology: Learning, Memory, and Cognition, 22(1), 63.Google Scholar
  10. Caramazza, A., Costa, A., Miozzo, M., & Bi, Y. (2001). The specific-word frequency effect: Implications for the representation of homophones in speech production. Journal of Experimental Psychology: Learning, Memory, and Cognition, 27(6), 1430–1450.PubMedGoogle Scholar
  11. Carroll, J.B., & White, M.N. (1973). Word frequency and age of acquisition as determiners of picture-naming latency. The Quarterly Journal of Experimental Psychology, 25(1), 85–95.Google Scholar
  12. Connine, C.M., Titone, D., & Wang, J. (1993). Auditory word recognition: Extrinsic and intrinsic effects of word frequency. Journal of Experimental Psychology: Learning, Memory, and Cognition, 19(1), 81–94.PubMedGoogle Scholar
  13. Conwell, E. (2017). Prosodic disambiguation of noun/verb homophones in child-directed speech. Journal of Child Language, 44(3), 734–751.PubMedGoogle Scholar
  14. Conwell, E., & Morgan, J.L. (2012). Is it a noun or is it a verb? Resolving the ambicategoricality problem. Language Learning and Development, 8(2), 87–112.Google Scholar
  15. Davelaar, E., Coltheart, M., Besner, D., & Jonasson, J.T. (1978). Phonological recoding and lexical access. Memory & Cognition, 6(4), 391–402.Google Scholar
  16. Davies, M. (2008). The corpus of contemporary American English (COCA): 560 million words, 1990-present. https://corpus.byu.edu/coca/.
  17. Dell, G.S. (1990). Effects of frequency and vocabulary type on phonological speech errors. Language and Cognitive Processes, 5(4), 313–349.Google Scholar
  18. Duffy, S.A., Morris, R.K., & Rayner, K. (1988). Lexical ambiguity and fixation times in reading. Journal of Memory and Language, 27(4), 429–446.Google Scholar
  19. Folk, J.R., & Morris, R.K. (1995). Multiple lexical codes in reading: Evidence from eye movements, naming time, and oral reading. Journal of Experimental Psychology: Learning, Memory, and Cognition, 21(6), 1412–1429.Google Scholar
  20. Francis, W.N., & Kučera, H. (1982) Frequency analysis of English usage: Lexicon and grammar. Boston: Houghton Mifflin.Google Scholar
  21. Gahl, S. (2008). Time and thyme are not homophones: The effect of lemma frequency on word durations in spontaneous speech. Language, 84(3), 474–496.Google Scholar
  22. Gaskell, M.G., & Marslen-Wilson, W.D. (1997). Integrating form and meaning: A distributed model of speech perception. Language and Cognitive Processes, 12(5-6), 613–656.Google Scholar
  23. Grainger, J., Van Kang, M.N., & Segui, J. (2001). Cross-modal repetition priming of heterographic homophones. Memory & Cognition, 29(1), 53–61.Google Scholar
  24. Guion, S.G. (1995). Word frequency effects among homonyms. In Texas Linguistic Forum, (Vol. 35 pp. 103–116).Google Scholar
  25. Hall, K.C. (2013). A typology of intermediate phonological relationships. The Linguistic Review, 30(2), 215–275.Google Scholar
  26. Hino, Y., Lupker, S.J., & Pexman, P.M. (2002). Ambiguity and synonymy effects in lexical decision, naming, and semantic categorization tasks: Interactions between orthography, phonology, and semantics. Journal of Experimental Psychology: Learning, Memory, and Cognition, 28(4), 686–713.PubMedGoogle Scholar
  27. Howes, D. (1957). On the relation between the intelligibility and frequency of occurrence of English words. Journal of the Acoustical Society of America, 29(2), 296–305.Google Scholar
  28. Jastrzembski, J.E. (1981). Multiple meanings, number of related meanings, frequency of occurrence, and the lexicon. Cognitive Psychology, 13(2), 278–305.Google Scholar
  29. Jescheniak, J.D., & Levelt, W.J.M. (1994). Word frequency effects in speech production: Retrieval of syntactic information and of phonological form. Journal of Experimental Psychology: Learning, Memory, and Cognition, 20(4), 824–843.Google Scholar
  30. Johnson, K. (1997). Speech perception without speaker normalization: An exemplar model. In K. Johnson, & J. W. Mullennix (Eds.) , Talker variability in speech processing (pp. 145–165). San Diego: Academic Press.Google Scholar
  31. Jurafsky, D., Bell, A., & Girand, C. (2002). The role of the lemma in form variation. In C. Gussenhoven, & N. Warner (Eds.) , Laboratory Phonology VII (pp. 3–34). Berlin: Mouton de Gruyter.Google Scholar
  32. Kawamoto, A.H., Farrar, W.T., & Kello, C.T. (1994). When two meanings are better than one: Modeling the ambiguity advantage using a recurrent distributed network. Journal of Experimental Psychology: Human Perception and Performance, 20(6), 1233–1247.Google Scholar
  33. Kellas, G., Ferraro, F.R., & Simpson, G.B. (1988). Lexical ambiguity and the timecourse of attentional allocation in word recognition. Journal of Experimental Psychology: Human Perception and Performance, 14(4), 601–609.PubMedGoogle Scholar
  34. Klepousniotou, E., & Baum, S.R. (2007). Disambiguating the ambiguity advantage effect in word recognition: An advantage for polysemous but not homonymous words. Journal of Neurolinguistics, 20(1), 1–24.Google Scholar
  35. Klepousniotou, E., Pike, G.B., Steinhauer, K., & Gracco, V. (2012). Not all ambiguous words are created equal: An EEG investigation of homonymy and polysemy. Brain and Language, 123(1), 11–21.PubMedGoogle Scholar
  36. Kuznetsova, A., Bruun Brockhoff, P., & Haubo Bojesen Christensen, R. (2015). lmerTest: Tests in linear mixed effects models. R package version 2.0-29.Google Scholar
  37. Levelt, W.J.M., Roelofs, A., & Meyer, A.S. (1999). A theory of lexical access in speech production. Behavioral and Brain Sciences, 22(1), 1–38.PubMedGoogle Scholar
  38. Lewellen, M.J., Goldinger, S.D., Pisoni, D.B., & Greene, B.G. (1993). Lexical familiarity and processing efficiency: Individual differences in naming, lexical decision, and semantic categorization. Journal of Experimental Psychology: General, 122(3), 316–330.Google Scholar
  39. Lohman, A. (2017). Cut(n) and cut(v) are not homophones: Lemma frequency affects the duration of noun-verb conversion pairs. Journal of Linguistics, 1–25.Google Scholar
  40. Lukatela, G., & Turvey, M.T. (1994). Visual lexical access is initially phonological: I. Evidence from associative priming by words, homophones, and pseudohomophones. Journal of Experimental Psychology: General, 123(2), 107–128.Google Scholar
  41. Masson, M.E., & Freedman, L. (1990). Fluent identification of repeated words. Journal of Experimental Psychology: Learning, Memory, and Cognition, 16(3), 355–373.Google Scholar
  42. McMurray, B., Tanenhaus, M.K., & Aslin, R.N. (2002). Gradient effects of within-category phonetic variation on lexical access. Cognition, 86(2), B33–B42.PubMedGoogle Scholar
  43. McQueen, J.M., Norris, D., & Cutler, A. (1994). Competition in spoken word recognition: Spotting words in other words. Journal of Experimental Psychology: Learning, Memory, and Cognition, 20(3), 621–638.Google Scholar
  44. Monsell, S., Doyle, M.C., & Haggard, P.N. (1989). Effects of frequency on visual word recognition tasks: Where are they? Journal of Experimental Psychology: General, 118(1), 43.Google Scholar
  45. Murray, W.S., & Forster, K.I. (2004). Serial mechanisms in lexical access: The rank hypothesis. Psychological Review, 111(3), 721–756.PubMedGoogle Scholar
  46. Nickerson, R.S. (1969). ‘same’-‘different’ response times: A model and a preliminary test. Acta Psychologica, 30(Attention and Performance II), 257–275.Google Scholar
  47. Oldfield, R.C., & Wingfield, A. (1965). Response latencies in naming objects. Quarterly Journal of Experimental Psychology, 17(4), 273–281.PubMedGoogle Scholar
  48. Onifer, W., & Swinney, D.A. (1981). Accessing lexical ambiguities during sentence comprehension: Effects of frequency of meaning and contextual bias. Memory & Cognition, 9(3), 225–236.Google Scholar
  49. Pierce, J.W. (2007). PsychoPy–Psychophysics software in Python. Journal of Neuroscience Methods, 162(1–2), 8–13.Google Scholar
  50. Pierrehumbert, J. (2002). Word-specific phonetics. In C. Gussenhoven, & N. Warner (Eds.) , Laboratory Phonology VII (pp. 101–140). Berlin: Mouton de Gruyter.Google Scholar
  51. Pisoni, D.B., & Tash, J. (1974). Reaction times to comparisons within and across phonetic categories. Perception & Psychophysics, 15(2), 285–290.Google Scholar
  52. Pylkkänen, L., Llinás, R., & Murphy, G.L. (2006). The representation of polysemy: MEG evidence. Journal of Cognitive Neuroscience, 18(1), 97–109.PubMedPubMedCentralGoogle Scholar
  53. Pylkkänen, L., Stringfellow, A., & Marantz, A. (2002). Neuromagnetic evidence for the timing of lexical activation: An MEG component sensitive to phonotactic probability but not to neighborhood density. Brain and Language, 81(1–3), 666–678.PubMedGoogle Scholar
  54. Rayner, K., & Duffy, S.A. (1986). Lexical complexity and fixation times in reading: Effects of word frequency, verb complexity, and lexical ambiguity. Memory & Cognition, 14(3), 191–201.Google Scholar
  55. Renwick, M.E.L., & Ladd, D.R. (2016). Phonetic distinctiveness vs. lexical contrastiveness in non-robust phonemic contrasts. Laboratory Phonology, 7(1), 19.Google Scholar
  56. Rodd, J., Gaskell, G., & Marslen-Wilson, W. (2002). Making sense of semantic ambiguity: Semantic competition in lexical access. Journal of Memory and Language, 46(2), 245–266.Google Scholar
  57. Samuel, A.G. (1981). The role of bottom-up confirmation in the phonemic restoration illusion. Journal of Experimental Psychology: Human Perception and Performance, 7(5), 1124.PubMedGoogle Scholar
  58. Scarborough, R. (2010). Lexical and contextual predictability: Confluent effects on the production of vowels. Laboratory Phonology, 10, 557–586.Google Scholar
  59. Schvaneveldt, R.W., Meyer, D.E., & Becker, C.A. (1976). Lexical ambiguity, semantic context, and visual word recognition. Journal of Experimental Psychology: Human Perception and Performance, 2(2), 243–256.PubMedGoogle Scholar
  60. Scobbie, J.M., & Stuart-Smith, J. (2008). Quasi-phonemic contrast and the fuzzy inventory: Examples from Scottish English. In P. Avery, B. E. Dresher, & K. Rice (Eds.) , Contrast in Phonology: Theory, Perception, Acquisition (pp. 87–113). Berlin: de Gruyter.Google Scholar
  61. Seidenberg, M.S., Tanenhaus, M.K., Leiman, J.M., & Bienkowski, M. (1982). Automatic access of the meanings of ambiguous words in context: Some limitations of knowledge-based processing. Cognitive Psychology, 14 (4), 489–537.Google Scholar
  62. Siakaluk, P.D., Pexman, P.M., Sears, C.R., & Owen, W.J. (2007). Multiple meanings are not necessarily a disadvantage in semantic processing: Evidence from homophone effects in semantic categorisation. Language and Cognitive Processes, 22(3), 453–467.Google Scholar
  63. Simon, D.A., Lewis, G., & Marantz, A. (2012). Disambiguating form and lexical frequency effects in MEG responses using homonyms. Language and Cognitive Processes, 27(2), 275–287.Google Scholar
  64. Simpson, G.B., & Burgess, C. (1985). Activation and selection processes in the recognition of ambiguous words. Journal of Experimental Psychology: Human Perception and Performance, 11(1), 28–39.Google Scholar
  65. Simpson, G.B., & Krueger, M.A. (1991). Selective access of homograph meanings in sentence context. Journal of Memory and Language, 30(6), 627–643.Google Scholar
  66. Sorensen, J.M., Cooper, W.E., & Paccia, J.M. (1978). Speech timing of grammatical categories. Cognition, 6(2), 135–153.PubMedGoogle Scholar
  67. Stanners, R.F., Jastrzembski, J.E., & Westbrook, A. (1975). Frequency and visual quality in a word-nonword classification task. Journal of Verbal Learning and Verbal Behavior, 14(3), 259–264.Google Scholar
  68. Tanenhaus, M.K., Leiman, J.M., & Seidenberg, M.S. (1979). Evidence for multiple stages in the processing of ambiguous words in syntactic contexts. Journal of Verbal Learning and Verbal Behavior, 18(4), 427–440.Google Scholar
  69. Vitevitch, M.S., & Luce, P.A. (1999). Probabilistic phonotactics and neighborhood activation in spoken word recognition. Journal of Memory and Language, 40(3), 374–408.Google Scholar
  70. Wheeldon, L.R., & Monsell, S. (1992). The locus of repetition priming of spoken word production. The Quarterly Journal of Experimental Psychology, 44(4), 723–761.PubMedGoogle Scholar

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© The Psychonomic Society, Inc. 2018

Authors and Affiliations

  1. 1.Department of Cognitive, Linguistic, and Psychological SciencesBrown UniversityProvidenceUSA

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