1/16
Looks like no tags are added yet.
Definition: speech arrives as a continuous, variable stream that doesn't map neatly onto words or objects, yet infants learn language without being taught
Why language is hard: homophones, idioms, word order, synonyms; no clear gaps between words; the world isn't labeled
How infants manage: prenatal experience, social interaction, infant-directed speech, statistical learning
1 month: cooing
6-9 months: babbling (single syllables ~6 months)
6-10 months: first signs of word comprehension; communicative gestures
10 months: word-like babbling with rhythm
11-12 months: first words
16-18 months: vocabulary grows; words combined
24-28 months: grammatical function words
30-36 months: productive language; overgeneralizing ("goed")
Hearing works before birth, so language learning starts in the womb
Newborns prefer a story they heard in the womb and can tell their native language from another by its rhythm
Definition: pre-verbal back-and-forth between infant and caregiver that mimics a real conversation
Types:
Turn-taking: infants understand back-and-forth interaction early
Pointing: ~6 months; basic = "I want," advanced = "Hey, look" (informing)
Babbling: cooing -> single syllables -> word-like with rhythm; practice + feedback tunes speech
Deaf infants learning sign babble with their hands. Theme: resilience
Definition: higher, more variable pitch; slower rate; clearer pronunciation
Why it helps: slower pace gives processing time; pitch and rhythm changes highlight word boundaries
Preference: infants prefer IDS, driven by pitch; large replication found it real but about half as big as thought, stronger in older infants, native language, head-turn method
Theme: active research area
Definition: a window when language exposure is necessary for typical learning
First language: deprivation until ~13 means never learning typical grammar (fragility)
Second language: earlier arrival = better grammar; grammar-learning ability stays high until ~17-18, then declines
Resilience: children given flawed input create consistent rules and surpass their input (bias to create rules)
Case studies: one child, no control group, hard to generalize
1. Segmentation problem: where do words begin and end?
2. Invariance problem: how to group variable sounds into one category?
3. Tuning problem: which sound differences matter in my language?
Problem: speech is a continuous stream; how do infants find word boundaries?
Solutions:
IDS: prosody (pitch, rhythm), emphasis and spacing mark boundaries
Statistical learning: syllables within words follow each other reliably, across word boundaries they don't; works even when other cues are missing
Problem: phonemes (smallest units that change meaning: cat/cut/cot) never sound the same twice; they vary by speaker, context, even time of day
Solutions/concepts:
Formants: F1 + F2 = which vowel; F3 + F4 = voice "color" (speaker identity); shifting F1/F2 sounds like a different accent
Vowel clusters overlap, so context is needed
Voice onset time (VOT): gap between lips opening and vocal cords vibrating; short = "ba," long = "pa"
Categorical perception: VOT varies continuously, but we hear "ba" or "pa," never in between; infants do this from very early on (within-category change is the key control)
Problem: each language uses different sound contrasts; infants must tune to their own
Two theories:
"Start bad, improve": infants start poor at all contrasts and gradually learn native ones
Perceptual narrowing: infants start able to hear all contrasts, lose non-native ones by 10-12 months, and sharpen native ones
Evidence supports narrowing; it also happens for sign language handshapes
Escaping narrowing: only live, interactive exposure keeps non-native contrasts; video/audio doesn't (quality of interaction matters)
Theme: development does not equate to improvement
Problem: learning a word means mapping it onto a concept; a new word could refer to almost anything
Solutions:
Joint attention + ostensive labeling: infants look where others look; parents label what they're looking at (ostensive = naming while pointing/showing)
Short arms: objects held close, so fewer things in view when a word is said
Cross-situational learning: tracking which words and objects keep appearing together across ambiguous situations
Mutual exclusivity: each object has one label, so a new word for a named object = a property; enables fast mapping
MacArthur-Bates CDI: parent checklist of words the child understands/says -> percentile vs. same-age peers
Versions: Words and Gestures (~8-18 mo); Words and Sentences (~16-30 mo)
+ cheap, fast, many words, whole-day view | - parent memory/bias
Looking-while-listening: two pictures, "Where's the puppy?", track eyes
Measures: accuracy + reaction time (processing speed)
+ no talking needed | - only picturable words
Comprehension comes before production, so counting spoken words underestimates knowledge
First words: frequent, socially important words (people, greetings/routines, animals, foods, toys); things a child can see, point to, and share attention over
Wordbank: open database of CDI data from many languages; first words are similar across languages, but vocabulary growth varies enormously
Processing speed: faster word recognition predicts bigger later vocabulary and IQ
Distinctive contexts: words used in more distinctive places/contexts are learned earlier
Theme: studying variability enhances understanding
Definition: how words combine into sentences; each word has a category (noun, verb, determiner) and syntax says how categories combine
Chomsky: syntax and meaning are separate ("Colorless green ideas sleep furiously")
How children learn it: fast, by observing and talking, without being taught
Overgeneralization ("goed," "mouses") shows children extract rules rather than copy
Language is a tool for thinking: lets us be precise, ignore irrelevant details, and use labels as shortcuts that reduce mental load
Categories: words (not tones) are "invitations to form categories," even at 3-4 months
Number: we have exact (up to ~3-4) and approximate number systems; language adds counting for exact large numbers. Number words are a "cognitive technology": without them (no number words, or homesign), people can match exact amounts in view but not hold exact large numbers in memory
Claim: the language you speak limits the thoughts you can have
Classic example: color words shape which color differences people notice
Current status: early enthusiasm faded; language influences thought but doesn't strictly determine it
Poverty of the stimulus (Chomsky): the input children hear isn't enough to learn grammar, so grammar must be innate (parameters set by input)
How LLMs learn: next-word prediction on trillions of words, attention, human feedback (alignment), multimodality
Challenge to Chomsky: LLMs learn grammar, even tricky sentences, with no built-in grammar
But LLMs ≠ children:
Data: trillions of words vs. ~10-50 million by age 4
Social cues: children use joint attention
Feedback: children rarely get told what's right or wrong
Theme: nature and nurture