Psycholinguistics I LING 640
What is psycholinguistics about?
Guiding Questions What do speakers of a language mentally represent? How did those representations get there? How are those representations constructed? How are those representations encoded?
Language is a Human Specialization Species specificity Within-species invariance Spontanous development, insensitivity to input Independence of general intelligence Selective brain damage The ‘Language Instinct’ [Pinker 1994]; see Gleitman & Newport chapter [readings] for nice summary These arguments suggest that there’s a coherent object of study, but tell us very little about its form
We need explicit answers… What do speakers of a language mentally represent? How did those representations get there? How are those representations constructed? How are those representations encoded?
Explicit models quickly reveal surprising complexity
A Simple(-ish) Example Distribution of pronouns/reflexives –John likes him/himself. –John thinks that Mary likes him/himself. Infinitival clauses –John appeared to Bill to like himself. –John appeared to Bill to like him. But… –John appealed to Bill to like himself. –John appealed to Bill to like him. Abstract solution… –John i appealed to Bill j [PRO j to like himself j ]
Abstraction is a double-edged sword
Abstraction Abstraction is valuable –Provides representational power –Provides representational freedom Abstraction is costly –Linguistic representations are more distant from experience –This places a burden on the learner - motivation for innate knowledge –This places a burden on comprehension/production systems –(and it makes it harder to know what to look for in the brain)
Sensory Maps Internal representations of the outside world. Cellular neuroscience has discovered a great deal in this area.
Lab #1
Acoustic Continua and Phonetic Categories
Frequency - Tones
Frequency - Complex Sounds
Frequency - Vowels Vowels combine acoustic energy at a number of different frequencies Different vowels ([a], [i], [u] etc.) contain acoustic energy at different frequencies Listeners must perform a ‘frequency analysis’ of vowels in order to identify them (Fourier Analysis)
Frequency - Male Vowels
Frequency - Female Vowels
Synthesized Speech Allows for precise control of sounds Valuable tool for investigating perception
Timing - Voicing
Voice Onset Time (VOT) 60 msec
English VOT production Not uniform 2 categories
Perceiving VOT ‘Categorical Perception’
Discrimination Same/Different 0ms 60ms Same/Different 0ms 10ms Same/Different 40ms A More Systematic Test 0ms 20ms 40ms 20ms 40ms 60ms DT D T T D Within-Category Discrimination is Hard
Quantifying Sensitivity
Response bias Two measures of discrimination –Accuracy: how often is the judge correct? –Sensitivity: how well does the judge distinguish the categories? Quantifying sensitivity –HitsMisses False AlarmsCorrect Rejections –Compare p(H) against p(FA)
Quantifying Sensitivity Is one of these more impressive? –p(H) = 0.75, p(FA) = 0.25 –p(H) = 0.95, p(FA) = 0.45 A measure that amplifies small percentage differences at extremes z-scores
Normal Distribution Mean (µ) Dispersion around mean Standard Deviation A measure of dispersion around the mean. √( ) ∑(x - µ) 2 n
The Empirical Rule 1 s.d. from mean: 68% of data 2 s.d. from mean: 95% of data 3 s.d. from mean: 99.7% of data
Quantifying Sensitivity A z-score is a reexpression of a data point in units of standard deviations. (Sometimes also known as standard score) In z-score data, µ = 0, = 1 Sensitivity score d’ = z(H) - z(FA)
See Excel worksheet sensitivity.xls
Quantifying Differences
(N ää t ä nen et al. 1997) (Aoshima et al. 2004) (Maye et al. 2002)
Normal Distribution Mean (µ) Dispersion around mean Standard Deviation A measure of dispersion around the mean. √( ) ∑(x - µ) 2 n
The Empirical Rule 1 s.d. from mean: 68% of data 2 s.d. from mean: 95% of data 3 s.d. from mean: 99.7% of data
Normal Distribution Mean (µ) 65.5 inches Standard deviation = 2.5 inches Heights of American Females, aged 18-24
If we observe 1 individual, how likely is it that his score is at least 2 s.d. from the mean? Put differently, if we observe somebody whose score is 2 s.d. or more from the population mean, how likely is it that the person is drawn from that population?
If we observe 2 people, how likely is it that they both fall 2 s.d. or more from the mean? …and if we observe 10 people, how likely is it that their mean score is 2 s.d. from the group mean? If we do find such a group, they’re probably from a different population
Standard Error is the Standard Deviation of sample means.
If we observe a group whose mean differs from the population mean by 2 s.e., how likely is it that this group was drawn from the same population?
Development of Speech Perception in Infancy
Voice Onset Time (VOT) 60 msec
Perceiving VOT ‘Categorical Perception’
Discrimination Same/Different 0ms 60ms Same/Different 0ms 10ms Same/Different 40ms A More Systematic Test 0ms 20ms 40ms 20ms 40ms 60ms DT D T T D Within-Category Discrimination is Hard
Cross-language Differences R L R L
Cross-Language Differences English vs. Japanese R-L
Three Classics
Development of Speech Perception Unusually well described in past 30 years Learning theories exist, and can be tested… Jakobson’s suggestion: children add feature contrasts to their phonological inventory during development Roman Jakobson, Kindersprache, Aphasie und allgemeine Lautgesetze, 1941
Developmental Differentiation 0 months 6 months12 months18 months Universal Phonetics Native Lg. Phonetics Native Lg. Phonology
#1 - Infant Categorical Perception Eimas, Siqueland, Jusczyk & Vigorito, 1971
Discrimination Same/Different 0ms 60ms Same/Different 0ms 10ms Same/Different 40ms A More Systematic Test 0ms 20ms 40ms 20ms 40ms 60ms DT D T T D Within-Category Discrimination is Hard
English VOT Perception To Test 2-month olds Not so easy! High Amplitude Sucking Eimas et al. 1971
General Infant Abilities Infants’ show Categorical Perception of speech sounds - at 2 months and earlier Discriminate a wide range of speech contrasts (voicing, place, manner, etc.) Discriminate Non-Native speech contrasts e.g., Japanese babies discriminate r-l e.g., Canadian babies discriminate d-D
Universal Listeners Infants may be able to discriminate all speech contrasts from the languages of the world!
How can they do this? Innate speech-processing capacity? General properties of auditory system?
What About Non-Humans? Chinchillas show categorical perception of voicing contrasts!
#2 - Becoming a Native Listener Werker & Tees, 1984
When does Change Occur? About 10 months Janet Werker U. of British Columbia Conditioned Headturn Procedure
When does Change Occur? Hindi and Salish contrasts tested on English kids Janet Werker U. of British Columbia Conditioned Headturn Procedure
What do Werker’s results show? Is this the beginning of efficient memory representations (phonological categories)? Are the infants learning words? Or something else?
Korean has [l] & [r] [rupi] “ruby” [kiri] “road” [saram] “person” [ir}mi] “name” [ratio] “radio” [mul] “water” [pal] “big” [s\ul] “Seoul” [ilkop] “seven” [ipalsa] “barber”
#3 - What, no minimal pairs? Stager & Werker, 1997
A Learning Theory… How do we find out the contrastive phonemes of a language? Minimal Pairs
Word Learning Stager & Werker 1997 ‘bih’ vs. ‘dih’ and ‘lif’ vs. ‘neem’
PRETEST
HABITUATION TEST SAMESWITCH
Abstraction Representations –Sound encodings - clearly non-symbolic, but otherwise unclear –Phonetic categories –Memorized symbols: /k/ /æ/ /t/ Behaviors –Successful discrimination –Unsuccessful discrimination –‘Step-like’ identification functions –Grouping different sounds
Word learning results Exp 2 vs 4
Why Yearlings Fail on Minimal Pairs They fail specifically when the task requires word-learning They do know the sounds But they fail to use the detail needed for minimal pairs to store words in memory !!??
One-Year Olds Again One-year olds know the surface sound patterns of the language One-year olds do not yet know which sounds are used contrastively in the language… …and which sounds simply reflect allophonic variation One-year olds need to learn contrasts
Maybe not so bad after all... Children learn the feature contrasts of their language Children may learn gradually, adding features over the course of development Phonetic knowledge does not entail phonological knowledge Roman Jakobson,
Werker et al
Swingley & Aslin, month olds did recognize mispronunciations of familiar words
Alternatives to Reviving Jakobson Word-learning is very hard for younger children, so detail is initially missed when they first learn words Many exposures are needed to learn detailed word forms at early stages of word-learning Success on the Werker/Stager task seems to be related to the vocabulary spurt, rapid growth in vocabulary after ~50 words
Questions about Development
6-12 Months: What Changes?
Structure Changing Patricia Kuhl U. of Washington
Structure Adding Evidence for Structure Adding (i) Some discrimination retained when sounds presented close together (e.g. Hindi d-D contrast) (ii) Discrimination abilities better when people hear sounds as non-speech (iii) Adults do better than 1-year olds on some sound contrasts Evidence for Structure Changing (i) No evidence of preserved non-native category boundaries in vowel perception
Sources of Evidence Structure-changing: mostly from vowels Structure-adding: mostly from consonants Conjecture: structure-adding is correct in domains where there are natural articulatory (or acoustic) boundaries
So how do infants learn…? Surface phonetic patterns Tests of experimentally induced changes…
[2003, Proceedings of the National Academy of Sciences] 5 hours’ exposure to Mandarin ± human interaction
Jessica Maye, Northwestern U.
Infants at age 6-8 months are still ‘universal listeners’, cf. Pegg & Werker (1997) Infants trained on bi-modal distribution show ‘novelty preference’ for test sequence with fully alternating sequence How could the proposal scale up?
(Jusczyk 1997) Invariance
Training on [g-k] or [d-t], generalization across place of articulation. (Dis-)habituation paradigm. [Maye & Weiss, 2003]
So how do infants learn…? Phoneme categories and alternations –Perhaps more like a phonologist than like a LING101 student - look directly for systematic relations among phones –Gradual articulation of contrastive information encoded in lexical entries –Much remains to be understood
Abstraction in Infant Speech Encoding From a very early age infants show great sensitivity to speech sounds, possibly already with some category-like structure Although native-like sensitivity develops early (< 1 year), this should be distinguished from adult-like knowledge of the sound system of the language –Children still need to learn how to efficiently encode words (phoneme inventory) –Children presumably still need to learn how to map stored word forms onto pronunciations (phonological system of the language) Popular distributional approaches to learning the sound system address rather non-abstract encodings of sounds, at best