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Phonotactics and knowledge of relative similarity

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Title: Phonotactics and knowledge of relative similarity


1
Phonotactics and knowledge of relative similarity
  • D.Steriade, MIT

2
Phonotactics?
  • System of segmental/prosodic contrasts
  • E.g., is there T? D?
  • Their contextual distribution
  • E.g., is there T? D in /_?

3
The 2 phonotactic questions
  • Trigger what factor causes loss of contrast
  • E.g. voice? voice/_?
  • Process how does contrast loss come about?
  • E.g. what happened to (potential) Ds in/_?
  • did they devoice, nasalize, turn to glides,
    delete, get a V after, merge with preceding
    segment, allow their voicing to float to better
    positions?

4
1st message today
  • Cant understand triggers unless we understand
    processes
  • Cant understand processes unless we understand
    similarity relations.
  • Cant understand effect of similarity on grammar
    unless we understand the inhibiting effect of
    lexical knowledge

5
2nd message
  • Knowledge transfer
  • learners transfer knowledge from one domain
    (phonetics, perceptual similarity) to another
    (phonotactic process)

6
Basic issues
  • Is there knowledge of grammar?
  • Its precise nature?
  • Source of universal laws?
  • Relevance to study of competence?
  • Links between grammar and lexicon?
  • Learning

7
Knowledge of phonotactics
  •  perception (mis)guided by phonotactic knowledge.
  • (Pitt 1998, Pitt McQueen 1998 Moreton 2002
  • Dupoux et al. 1999)
  •  production limited by L1 phonotactics
  • (L2 lit Eckman 1978 Broselow et al. 1995 ).

8
Basic issues
  • Is there knowledge of grammar?
  • Its precise nature?
  • Source of universal laws?
  • Relevance to study of competence?
  • Links between grammar and lexicon?
  • Learning

9
Form of phonotactic knowledge
  • A result from OT
  • Phonotactic systems can be factored into general
    constraints, ready for cross-linguistic
    comparison,
  • if the constraints are ranked and violable

10
The Nonfinality example (adapted from Prince
Smolensky 1993)
  • Latin no final stress
  • Except that monosyllables are stressed.
  • Have stress gtgt Nonfinality
  • Cairene no final stress
  • Except for monosyllables and extraheavy finals
    (CVVC, CVCC)
  • Have stress, Stressless extraheavy gtgt
    Nonfinality
  • Guptas Hindi no final stress
  • Except for monosyllables and the heaviest
    syllable of the word, if final.
  • Have stress, Stressless Heavy gtgt Nonfinality

11
Its an ecumenical result
  • Open Q if learners factor out their phonotactic
    knowledge into general, ranked and violable
    constraints.
  • Established result this factorization yields a
    far clearer view of phonotactic typology than all
    previous ones.
  • (cf. Archangeli and Pulleyblank 1987 for attempt
    to characterize typology by breaking down rules
    into elementary operations)

12
Basic issues
  • Is there knowledge of grammar?
  • Its precise nature?
  • Source of universal laws?
  • Relevance to study of competence?
  • Links between grammar and lexicon?
  • Learning

13
Why these laws?
  • Right context laws
  • If T ? TÓ /_ (? V) then T? TÓ /_ V
  • If p ? t ? k /_ (? V) then p ? t ?k /_ V
  • Left context law
  • If T ? ÓT / (? V)_ then T ? ÓT /V_
  • If Ê ? t / (? V)_ then Ê ? t /V_
  • (Steriade 1995, 1999)

14
Context affects perceptibility
  • Cues are context dependent.
  • And (sometimes) asymmetrically distributed
  • left context essential in T ? ÓT , Ê ? t
  • right context essential in others.
  • Scale of optimal perceptibility for some contrast
    implicational scale of licensing positions for
    that contrast
  • Crosswhite 1998, Flemming 1995, Hamilton 1994,
    Jun 1995, Kirchner 1999, Kochetov 1999-2002,
    Silverman 1995, Steriade 1994-1999, Zhang 2000,
  • Result phonotactic laws have identifiable
    sources in speech perception and production.
  • general line of thought Ohala 1990, Lindblom
    1990, others

15
Basic issues
  • Is there knowledge of grammar?
  • Its precise nature?
  • Source of universal laws?
  • Relevance to study of competence?
  • Links between grammar and lexicon?
  • Learning

16
Knowledge of the general laws?
  • Or just the manifestations to which learners
  • are overtly exposed?
  • Background
  • Jakobson 1941, Prince Smolensky 1993
  • Result (and burning issue)
  • Preference for unmarked (e.g. mp vs. np) before
  • knowledge of language specific phonotactics
  • Jusczyk, Smolensky, Allocco 2002

17
Basic issues
  • Is there knowledge of grammar?
  • Its precise nature?
  • Source of universal laws?
  • Relevance to study of competence?
  • Links between grammar and lexicon?
  • Learning

18
Does the phonotactic grammar emerge from the
lexicon?
  • Labphon 5, Coleman Pierrehumbert 1998, Frisch,
    Large Pisoni 2000,
  • Bailey Hahn 2001
  •  Knowledge of lexical patterns not attributable
    to general laws
  • Ernestus Baayen 2002, Pierrehumbert 2002
  •  Knowledge of phonotactic preferences not
    reflected in
  • lexical patterns
  • Moreton 2002. Also Shinohara 1997, Fleischhacker
    2000, Davidson 2002,
  • Shademan 2002.

19
Learning (Tesar Smolensky 2000, Prince Tesar
1999, Hayes 1999)
  • Results 1st learning models that
  • (a) extend beyond systems of non-interactive
    parameters (Dresher Kaye 1990)
  • (b) do not depend on a fixed learning path
    planted with learning cues (Dresher 1999)
  • Models build on the assumption of violability
    and (re)-ranking

20
What I doIntersection of 3 basic issues
 Source of phonotactic knowledge
hidden rankings of correspondence conditions
Davidson 2002
 Knowledge of grammar vs. knowledge of lexicon
lexicon-based vs. hidden constraint
hierarchies
 Nature of phonotactic knowledge
context-sensitive Markedness context-free
Correspondence vs. context-free M
context-sensitive C?
21
Hidden rankings intro
  • The phenomenon in general
  • loanword adapters ( others phonotactic
    freelancers) converge on solutions to phonotactic
    violation, without prompting from native sound
    system.
  • Significance
  • Any choice of solution to phonotactic violation
    reveals
  • implicit knowledge of a correspondence ranking .

22
Example (based on Cantonese, cf. Silverman 1992,
Phonology cf. also Mandarin, cf. Broselow et al.
1995 SSLA )
  • What the lexicon tells the learner
  • no word final D/TÓ obstruent tab, tapÓ
  • What it doesnt how to fix a deviant input
  • delete bad coda? ta (MAX C)
  • add V? tabi, tapÓi (DEP V)
  • relocate bad feature? dap, tÓap (Linearity)
  • remove coda voicing/asp! tap (Ident voice/asp)
  • But the learner knows this anyway.
  • Hidden ranking
  • MAX C, DEP V, Linearity gtgt Ident voice/asp

23
Hidden rankings in cluster resolution part 1
  • Language disallows CC onset/CC coda. Coda
    restrictions
  • Native system lacks relevant alternations
    learner cant tell the fate of bad syllables
  • Dual pattern of preservation
  • Strident Cs preserved as such, in all contexts
  • Non-stridents lost or modified, depending on
    context

24
Cantonese (Silverman 1992)
  Phonotactics CC onset/coda and fricative
in coda.
 Phonotactic solutions to deviant inputs
Post-V all consonants preserved, some modified
? Strident codas induce epenthesis /bus/
-gt pasi, not pat
? Nonstrident fricative codas become stops
/shaft/ -gt sap, not safi(t),
Ident (strident) gtgt DEP gtgt Ident (cont)
25
Cantonese(cont)
 Non-V adjacent context (? (//V))
? Stridents induce epenthesis /tips/
-gt tÓipsi, not tip /stamp/ -gt sitam, not
tam
  • Non-stridents deleted
  • /bend/ -gt pen, not penti
  • /post/ -gt posi, not posit

 MAX (strident (?(//V)) gtgtDEP gtgt MAX C (?
(//V))
MAX (strident (?(//V)) gtgt Contiguity gtgt MAX C
(?(//V))
26
Cantonese (end)
  • Next to vocoid (V, glide or liquid)
  • All Cs preserved, phonotactics satisfied via
    epenthesis
  • /fluke/ -fuluk, not fuk, luk (contrast /bend/
    -gt pen)
  • A further hidden ranking
  • MAX (C//(Vocoid)) gtgt DEP, Contig gtgt MAX (C
    (?(//Vocoid))
  • fluk-gt fuluk bend -gt pen

27
Similar dual pattern in
Loan adaptation into Hausa Newman 2000,
Dtschang Bird 1999 Seleyarese Broselow
1997 Jahai Burenhult 2001 Sranan Alber Plag
1999 others
28
Hidden rankings part 2 anaptyxis vs. prothesis
 Fleischhacker (2000 UCLA MA, 2003 UCLA
diss) also Broselow (1992) Zuraw 2002
 Dual pattern of CC onset avoidance
? Stop-sonorant clusters anaptyxis Egyptian
Arabic plastic -gt bilastik
? Other CC clusters, esp. s-stop
prothesis Egyptian Arabic study -gt istadi 
? s-stop-sonorant clusters prothesis and
anaptyxis Egyptian Arabic street -gt /istirit
29
The law (degenerate version of Fleischhackers)
  • Anaptyxis in s-Stop implies anaptyxis in
    Stop-sonorant
  • Only anaptyxis Japanese, Punjabi
  • Only prothesis Iraqi (but different pattern in
    sCC)
  • Both sites, with anaptyxis limited to
    stop-sonorant
  • Egyptian, Amharic, Farsi, Kazakh, Sinhalese,
    Armenian, Wolof,

30
Not just phonotactically motivated V-insertion
  • Pierrehumbert Nairs (1995 LgSp) language game
  • bNk -gt btNk
  • S-stop clusters preserved intact
  • skb -gt sktb
  • Obstruent-liquid clusters tend to split
  • pln -gt ptln
  • cf. Fleischhacker 2001 for discussion and Zuraw
    2002 on parallel pattern in Tagalog

31
Relativized contiguity
  • General solution
  • Contiguity s-stop gtgt Contiguity
    stop-sonorant
  • Anaptyxis ATB (svTV, TvRV)
  • C/_V gtgt Contig. s-stop gtgt Contig.stop-sonorant
    Prothesis ATB (vsTV, vTRV)
  • gtgt Contig. stop-sonorant gtgt C/_V
  • Anaptyxis in TvRV, prothesis in vsTV
  • Contig. s-stop gtgt C/_V gtgt Contig.
    stop-sonorant

32
Source of the hidden rankings?
  • Relative similarity judgments D (x-y) lt D (z-w)
  • Choice of final devoicing (over
    C-delete,epenthesis)
  • ????D(T-D/_) lt D(C-Ø), D(V-Ø), Steriade 2002,
    below
  • Choice of anaptyxis over prothesis in stop-son.
  • D (TR-TvR) lt D (TR-vTR) ) Fleischhacker 2000
  • Choice of prothesis over anaptyxis in s-stop
  • ????D (sT-vsT) lt D (sT-svT) Fleischhacker 2000
  • Choice of C-preservation by context
  • D(C-Ø(? (//V)) lt D(C-Ø(//V))

33
P-map
  • Set of relative perceptual similarity judgments.
  • Rooted in phonetic knowledge (Kingston Diehl
    Lg 1994)
  •  Similarity rankings provide a tool for
    inferring
  • (a) the form of correspondence constraints
  • (b) their rankings
  • E.g, if learner knows ?(b-d) gt ?(m-n), he infers
    that
  • (a) Ident place/ oral C ? Ident place in nasal C
  • (b) Ident place/ oral C gtgt Ident place in nasal
    C
  • And conversely, if he believes ?(b-d) ?(m-n),
    then he is free to posit a single constraint
    Ident place or 2 constraints but fail to rank
    them
  • Wilson 2000 alternative way of building
    similarity relations into phonology

34
Expectations of universality?
  • Some similarity rankings should be constant
    across languages
  •  if based on inherent asymmetries in cue
    distribution between contexts e.g. C//V vs.
    C/(? (//V))
  • No reason to expect ATB universality
  • (a) VNT vs. VND in Romanian (gradient
    post-nasal voicing)
  •  vs. VNT V)T vs. VND VND in English
  • (b) stress diff. in Spanish vs. French
    (Dupoux et al. 1999)

35
The real expectation
  • Judgments of relative similarity should correlate
    with choices of phonotactic repair.
  • And, if the similarity judgment is
    cross-linguistically constant, then choice of
    repair strategy should be too.

36
Sources of similarity data
  • Overt judgments
  • (Mohr Wang 1968 Singh 1970 Magen 1998
    Fleischhacker 2000)
  • Confusion --in noise, in quiet (Miller Nicely
    1956)
  • Speeded discrimination tasks (Seo 2001)
  • Similarity judgments implicit in choice of
  •  half-rhymes (time-nine Zwicky 1976 CLS,
    Steriade Zhang 2001)
  •  imperfect puns (shrubs to gardener
    eucalyptus! Zwicky archive Fleischhacker
    to appear)

37
Evidence for choice of repair?
  • Phonotactic systems lexically manifest
    alternations
  • Phonotactic free-lancing (on-line) adaptation
  • Correlate these choices with similarity
    rankings
  • Results partially diverge
  • greater uniformity of choice in free-lancing.
  • better fit with similarity ranking in
    free-lancing.
  • Phonology is unnatural. (Anderson LI 1989)
  • Lexically entrenched phonotactic systems are
    unnatural.

38
NC 9 no nasal voiceless (Pater 1995)
 All but (g) are attested in phonotactic systems.
 Only (a) is robustly attested in free-lancing.
39
Satisfying NC 9 in Bantu OshiKwanyama
Steinbergs 1983 SAL
  • (a) Native lexicon
  •  Roots Nasal followed by voiced C only kombo
    goat , no kompo
  •  PrefixRoot   Merger
  • oku-pota be rude, on-pote -gt omote good
    for nothing
  • (b) Loans
  •  Roots Postnasal voicing
  • stamp -gt sitamba, print -gt pelenda, ink -gt
    o-iNga
  •  PrefixRoot   Postnasal voicing
  • papier (Afrikaans) -gt om-bapila, kErk
    (Afr.) -gt oN-geleka

40
Similar split in
  • Lumasaaba (Brown 1968)
  •  NC induces C deletion in old alternations
  •  Young speakers substitute Post N voicing
    alternations, via dialect borrowing.
  • Cephalonian Greek loans from Romance
  • Mazateco loans from Spanish

41
Verify cross-process rankings
  • If correspondence rankings derive from P-Map,
    they should be same across distinct phonological
    processes, in all languages (if same similarity
    rankings obtain).
  • Ranking for final devoicing
  • MAX C gtgt Ident voice
  • This ranking contradicted by some NC systems
  • (e.g. C-deletion Ident voice gtgt MAX C)
  • But confirmed by all free-lance solutions to NC
  • MAX C gtgt Ident voice

42
One can infer, then
  • Free-lance solutions to NC are based on fixed
  • correspondence rankings with a constant source.
  • But systems of alternation are affected by
    additional forces.
  • Telescoped series of sound changes?

43
Historical source of NC 9 induced merger
  • Lynch (1975, OcLx) reconstruction of
    Proto-Oceanic
  • I Prefix (na-ka)
  • II V-loss (nka)
  • III Assimilation (Nka)
  • IV Post NasalVoicing (Nga)
  • V Extension of nasal phase (Na)
  • End result ka -Na rather than ka - ga
    alternations
  • Perhaps same scenario in Bantu etc.

44
Burning question to Kie Zuraw
  • What interaction of grammar and lexicon can
    generate dissimilar alternants through successive
    sound changes?

45
Another burning question
  • How does learner reconcile the conflicting
    correspondence hierarchies?
  • Established lexical stock NC merger
  • Ident voice gtgt Uniformity
  • Loans Post-N voicing
  • Uniformity gtgt Ident voice

46
Narrow lexical override
  • Technically constraint indexing (Fukazawa
    1998ROA)
  • Ident voice (I-native O (list))gtgt Uniformity
    gtgt Ident voice (I-O)
  • Lexical evidence is narrowly construed
  • as bearing only on the the phonology of lexical
    classes where the evidence originates
  • Similarity evidence is broadly construed
  • as bearing potentially on all phonological
    patterns

47
Half Rhymes (HR) as evidence for similarity
ranking
  • Fact some HRs are more frequent than others
  • (time-nine vs. fab-glad
  • raised-days vs. raised-raids)
  • H1 Frequent HRs are closer to identity
  • H2 similarity judgments determining HR choice
    those determining choice of repair strategy
  • (H3 HR choice is governed by a linguistic system
    of ranked correspondence constraints.)

48
Initial questions
  • Does the incidence of feature mismatch in the
    rhyme domain (RD) depend on context?
  • E.g. Cab-Cap vs. Cába-Cápa
  • Does it increase in contexts of reduced
    perceptibility?

49
Romanian HR corpus
  •  A translation corpus 6 rhymed translation
    texts, mostly from Russian, 1956-1971.
  • Totals 693 SRs/ 9791 rhyming pairs. SR
    frequency from a high of 18 to a low of .006
  •  A poetry corpus 2 native poets, 1950-1961.
  • Totals (for 2) 167 SR/6050 rhyming pairs. SR
    frequencies 0.58 and 10 respectively
  •  A poets private rhyming dictionary
  • Mihai Eminescu (cca 1880) Dict7ionar de rime

50
Uniformity of preference?
  • Do poets (if contemporary, same dialect) share a
    hierarchy of HR preferences?
  • Yes certain HR types occur in all texts.
  • NT-ND (skimb-timp)
  • uNC-ÈNC (skund-rÈnd)
  • Sparse HR users concentrate on shared core set.
  • Liberal HR users augment it with additional
    types.
  • Relative frequency of HR types in any given text
    mirrors, in general, their position on shared
    hierarchy
  • TV-DV implies NT-ND in any text
  • TV-DV less frequent than NT-ND

51
Voicing HR by context in V.Teodorescus
translation of Maiakovsky
of total rhymes whose RDs contain obstruents N
71
52
HRs and phonotactic processes
  • NTV-NDV HRs (únde-múnte) postnasal voicing?
  • gradient reduction in the duration voiceless
    interval after nasals Steriade Zhang 2001
  • T-D (nas-ekstáz) final devoicing?
  • variable realization of final T-D contrast
    Steriade Zhang 2001
  • NT-ND (unt-fund) combination of post-N voicing
    and final devoicing??
  • no two correlates of the contrast (voicing
    during closure/release quality) are reduced in
    N_

53
Correspondence, not markedness, is relevant to HR
selection
  • NC cant explain why NT-ND HRs are more
    frequent than T-D HRs.
  • ?D (T-D/(?N)_) gt D (T-D/N_)
  • Ident voice /(?N)_ gtgt Ident voice /N_
  • If this ranking operates in phonology, NC is
    not needed avoice is enough
  • D cant explain why T-D HRs are more frequent
    than TV-DV HRs.
  • D (T-D/_V) gt D T-D/_(?V))
  • Under appropriate correspondence ranking, D is
    not needed avoice suffices here too.

54
Other recurrent processes in common HR types
Process HR example As in
But not Romanian
55
Summary of proposal
  • Knowledge of cue distribution projects a
    hierarchy of context-sensitive similarity
    relations.
  • Knowledge of similarity projects correspondence
    constraints and their rankings.
  • Knowledge of correspondence identifies
  •  optimal repair strategy
  • (subject to possible lexical override)
  •  tolerably dissimilar pairs in rhyming
  •  tolerably dissimilar pairs in paradigm
    structure
  • (Steriade 1999, Zhang 2000, Garrett 2003)

56
1st message today
  • Cant understand triggers unless we understand
    processes
  • Cant understand processes unless we understand
    similarity relations.
  • Cant understand effect of similarity on grammar
    unless we understand the inhibiting effect of
    lexical knowledge

57
2nd message
  • Knowledge transfer
  • learners transfer knowledge from one domain
    (phonetics, perceptual similarity) to another
    (phonotactic process)
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