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Demystifying the myths   — Ignatius and the  Chinese writing system Yi  Xu   University College London   & Haskins Laboratories
Link between reading and speech ,[object Object],[object Object],[object Object]
An incomplete list of Mattingly’s work on reading in Chinese ,[object Object],[object Object],[object Object],[object Object],[object Object]
Chinese vs. alphabetic orthographies ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],Depth of phonological recoding in short-term memory   (Xu, 1992, under the supervision of Mattingly)
[object Object],[object Object],[object Object],[object Object],STM is needed in reading
[object Object],[object Object],[object Object],Understanding STM by exploring the depth of phonological recoding
The Maindarin tone sandhi phenomenon ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],Does tone sandhi apply in STM?
Sandhi List ,[object Object],[object Object],[object Object]
No-Sandhi List ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],Subjects and procedure
Results: Sandhi applied in STM! ,[object Object]
[object Object],[object Object],[object Object],[object Object],STM involves surface phonetic forms
But what are the surface forms? H F R L L The divergence starts near the syllable onset! Implication:  1. An articulatory target is set before syllable onset 2. F0 continually approaches the target during the syllable Data from Xu (1997)
The Target Approximation Model   (Yi Xu & Qi E. Wang 2001) ,[object Object],[object Object],[object Object],[rise] [low] Basic mechanism of tone articulation:  Syllable-synchronized sequential target approximation Approaching [rise] Approaching [low]
No anticipation in  Target Execution , not even during weak syllables! ,[object Object],[object Object]
But plenty of anticipation in  Target Assignment , at least by one syllable ,[object Object],[object Object],[object Object],[object Object],[rise] [low]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Why does tone sandhi have to apply in speech?
[object Object],[object Object],[object Object],[object Object],[object Object],Tone sandhi occurs below “surface phonetics”
[object Object],[object Object],[object Object],[object Object],Naming vs. lexical decision:   Measuring target assignment vs. assignment+execution
Naming vs. lexical decision:   Measuring target assignment vs. assignment+execution   ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],New challenge: Can the phonetic module be decomposed?
[object Object],[object Object],[object Object],[object Object],[object Object],The phonetic module may consist of at least two sub-processes:  Target Assignment  &  Target Execution
Conclusions  ,[object Object],[object Object],[object Object]

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A Visual Guide to 1 Samuel | A Tale of Two Hearts
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Xu

  • 1. Demystifying the myths — Ignatius and the Chinese writing system Yi Xu University College London & Haskins Laboratories
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  • 15. But what are the surface forms? H F R L L The divergence starts near the syllable onset! Implication: 1. An articulatory target is set before syllable onset 2. F0 continually approaches the target during the syllable Data from Xu (1997)
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Editor's Notes

  1. The model that I am presenting to you is getting its very first public exposure, to this audience. So, your reaction to it will be very much valued.
  2. This can be seen in the STM study I did in 1991 under Ignaius’ supervision. The finding of the study is not only relevant for our understanding of reading, but also for our understanding of speech.
  3. There is already evidence for the link between STM and reading
  4. The new finding about maximum speed of pitch change sheds new light to the understanding of another articulatory constraints that has not been widely considered.
  5. The new finding about maximum speed of pitch change sheds new light to the understanding of another articulatory constraints that has not been widely considered.
  6. When trying to understand phonemes such as consonants, vowels and lexical tones, one is constantly struck by the amount of variability in both their acoustics and articulation. When trying to understand information transmission through speech, one is often struck by the fact that so many different communicative meanings are transmitted virtually simultaneously through acoustic signals. While past research has gone a long way toward identifying the individual pieces of both puzzles, some critical links are missing for joining the two into a larger picture. In this talk, I will argue that a comprehensive model that can provide the missing links has to satisfy at least three critical requirements. First, it needs to make a clear separation between the meaning-bearing components, which are functionally defined , and the encoding primitives, which are defined in forms and detached from meanings. Second, it needs to specify an uninterrupted link between articulatory mechanisms of speech production and the functional components of communicative meanings. Third, it needs to specify mechanisms for concurrent transmission of multiple (as opposed to just one or two) communicative functions. To illustrate how these requirements can be met, I will present the Parallel Encoding and Target Approximation (PENTA) model. The model defines specific ways through which communicative functions are both articulatorily implementable and perceptually decomposable. By so doing, it treats much of the observed variability as sources of individual communicative meanings rather than as either random noise or extraneous paralinguistic factors non-central to speech communication. The data in support the current version of the PENTA model are mostly from research on tone and intonation. But I will argue that it is just as applicable to other aspects of speech.
  7. When trying to understand phonemes such as consonants, vowels and lexical tones, one is constantly struck by the amount of variability in both their acoustics and articulation. When trying to understand information transmission through speech, one is often struck by the fact that so many different communicative meanings are transmitted virtually simultaneously through acoustic signals. While past research has gone a long way toward identifying the individual pieces of both puzzles, some critical links are missing for joining the two into a larger picture. In this talk, I will argue that a comprehensive model that can provide the missing links has to satisfy at least three critical requirements. First, it needs to make a clear separation between the meaning-bearing components, which are functionally defined , and the encoding primitives, which are defined in forms and detached from meanings. Second, it needs to specify an uninterrupted link between articulatory mechanisms of speech production and the functional components of communicative meanings. Third, it needs to specify mechanisms for concurrent transmission of multiple (as opposed to just one or two) communicative functions. To illustrate how these requirements can be met, I will present the Parallel Encoding and Target Approximation (PENTA) model. The model defines specific ways through which communicative functions are both articulatorily implementable and perceptually decomposable. By so doing, it treats much of the observed variability as sources of individual communicative meanings rather than as either random noise or extraneous paralinguistic factors non-central to speech communication. The data in support the current version of the PENTA model are mostly from research on tone and intonation. But I will argue that it is just as applicable to other aspects of speech.
  8. The new finding about maximum speed of pitch change sheds new light to the understanding of another articulatory constraints that has not been widely considered.
  9. When trying to understand phonemes such as consonants, vowels and lexical tones, one is constantly struck by the amount of variability in both their acoustics and articulation. When trying to understand information transmission through speech, one is often struck by the fact that so many different communicative meanings are transmitted virtually simultaneously through acoustic signals. While past research has gone a long way toward identifying the individual pieces of both puzzles, some critical links are missing for joining the two into a larger picture. In this talk, I will argue that a comprehensive model that can provide the missing links has to satisfy at least three critical requirements. First, it needs to make a clear separation between the meaning-bearing components, which are functionally defined , and the encoding primitives, which are defined in forms and detached from meanings. Second, it needs to specify an uninterrupted link between articulatory mechanisms of speech production and the functional components of communicative meanings. Third, it needs to specify mechanisms for concurrent transmission of multiple (as opposed to just one or two) communicative functions. To illustrate how these requirements can be met, I will present the Parallel Encoding and Target Approximation (PENTA) model. The model defines specific ways through which communicative functions are both articulatorily implementable and perceptually decomposable. By so doing, it treats much of the observed variability as sources of individual communicative meanings rather than as either random noise or extraneous paralinguistic factors non-central to speech communication. The data in support the current version of the PENTA model are mostly from research on tone and intonation. But I will argue that it is just as applicable to other aspects of speech.
  10. The new finding about maximum speed of pitch change sheds new light to the understanding of another articulatory constraints that has not been widely considered.
  11. A target approximation model for f0 contours in Mandarin. The model assumes that, at the most rudimentary level, the task of speech is to implement simple phonetic targets under various articulatory constraints.
  12. The new finding about maximum speed of pitch change sheds new light to the understanding of another articulatory constraints that has not been widely considered.
  13. The new finding about maximum speed of pitch change sheds new light to the understanding of another articulatory constraints that has not been widely considered.
  14. The new finding about maximum speed of pitch change sheds new light to the understanding of another articulatory constraints that has not been widely considered.
  15. The new finding about maximum speed of pitch change sheds new light to the understanding of another articulatory constraints that has not been widely considered.
  16. The new finding about maximum speed of pitch change sheds new light to the understanding of another articulatory constraints that has not been widely considered.
  17. The new finding about maximum speed of pitch change sheds new light to the understanding of another articulatory constraints that has not been widely considered.