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Li6 Phonology and Morphology

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Japanese mimetic palatalization. palatalization targets the rightmost non-r coronal consonant ... mimetic. UR. 1:many pt 2: the skeleton. Bakwiri syllable ... – PowerPoint PPT presentation

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Title: Li6 Phonology and Morphology


1
Li6 Phonology and Morphology
  • Representation of segments

2
Todays topics
  • feature geometry
  • autosegments
  • the skeleton

3
Fundamental points about FG
  • All features are not created equal certain sets
    of features pattern together, certain features
    never interact, and so on.
  • Not all rule types allowed by the formal
    machinery of traditional linear phonology are
    attested/possible.
  • Our hypothesis to account for these
    generalizations
  • features are organized in an invariant
    hierarchical tree structure provided by UG.

4
Traditional feature theory
5
Traditional segmental representation
  • coronal
  • -voice
  • -cont /t/
  • ant
  • dist

6
Formal elegance
  • Consider the widespread phenomenon of nasal place
    assimilation.
  • inept, impossible, incomplete
  • How does a traditional linear model (i.e.
    pre-1976) account for this process?
  • Rules of this type (and in fact assimilation
    rules in general) have no special status in a
    linear model of phonology.

7
A stronger hypothesis
  • Phonol. has only two basic operations at its
    disposal
  • spreading
  • delinking
  • Phonol. has only two basic constraints at its
    disposal
  • the Line-Crossing Constraint
  • the OCP (Obligatory Contour Principle)
  • Desiderata/postulates
  • common rule types involve simple machinery
  • phonological rules perform single operations only
  • feature organization is universally determined

X X F
X F
X X X F F
X X F F
8
The Place Node
  • Assume that assimilation and dissimilation/OCP,
    which are extremely common, operate only on
    single elements.
  • If this is true, then natural classes (sets of
    sounds that pattern together with respect to
    phonological rules) should be reflected in
    representations.
  • What implication does nasal place assimilation
    have for our representation of segments, then?
  • It suggests that the places of articulation are
    grouped under a common node within the tree
    structure that makes up a segment.
  • We call this particular node the Place node.

9
The feature tree
back to laryngeal neutralisation
10
Evidence for the Place node
  • English nasal assimilation
  • Sanskrit s-assimilation

UR SR gloss
indras Suras indraS Suras Indra the hero
tas ?a? ta? ?a? those six
divas putras diva? putrah son of the goddess
nalas kamam nalax kamam at will
11
How do we represent Place assim?
  • The Sanskrit case
  • X X
  • cons cons
  • cont
  • Place

12
Laryngeal spreading
  • Sanskrit coda neutralization (cf. Korean)
  • nominative accusative gloss
  • marut marutam wind god
  • suhrt suhrdam friend
  • agnimat agnimatham near the fire
  • kakup kakubham region

13
Laryngeal delinkingNew Julfa future marker
  • a. kERtHAm I will go
  • k?tAm I will give
  • k?kiEnAm I will exist
  • b. g?b?z?Am I will buzz
  • g?lAm I will cry
  • g?z?rAm I will bray
  • c. kH?tHo?niEm I will allow
  • kH?tSHApHiEm I will measure
  • kH?X?ndAm I will laugh
  • kH?sAvoRiEm I will grow accustomed to
  • d. gH?bHiERiEm I will carry
  • gH?gHom I will come
  • gH?dH?niEm I will put
  • gH?dzHiEviEm I will form

14
Autosegments
  • phonemes are not simply lists of feature
    specifications
  • features and segments are not necessarily in a
    one-to-one relationship (the relationship is
    nonlinear)
  • individual features enjoy a certain amount of
    autonomy with respect to other features
    characterizing the segments to which they are
    associated (they behave as autosegments)
  • Today well focus on tone vowel harmony in
    lecture 8 (round, back, and ATR as autosegments)

15
Typology of autosegmental relationships
  • a. one to one X X
  • F F
  • b. one to many X X
  • F
  • c. many to one X
  • F F
  • d. bare anchor X
  • e. floating feature F

16
11 and many1
  • Margi (Kenstowicz 1994312)
  • base form definite gloss
  • a. sál sál-árì man
  • kùm kùm-árì meat
  • b. ?ímí ?ímy-árì water
  • kú kw-árì goat
  • tágú tágw-árì horse
  • c. tì ty-arì morning
  • hù hw-arì grave
  • ú?ù ú?w-arì fire

H L ˆ HL ( falling) ? LH (rising)
17
More Margi
  • a. à sá gU? you go astray
  • à tsú gU? you beat
  • b. á wì gU? you run
  • á dlà gU? you fall
  • c. á v??l gU? you fly

18
1many
  • Margi (Kenstowicz 1994319)
  • a. tSU speak tSí-bá tell
  • ghà reach ghà-bá reach
  • f ?? swell f ì-bá make swell
  • b. sá go astray sá-ná lead astray
  • dlà fall dlà-nà overthrow
  • bdlU? forge bdl??-ná forge

19
Universal Association Convention
  • Match tones and tone-bearing units one-to-one,
    L?R or R?L.

20
R?L mapping Kikuyu
  • subject marker object marker root tense suffix
  • tò we mò him ròr look at íré
  • má they má them tóm send
  • tò ròr ìré má rór ìré
  • tò mò ròr ìré má mó ròr ìré
  • tò mà rór ìré má má rór ìré
  • tò tòm íré má tóm íré
  • tò mò tòm íré má mó tòm íré
  • tò mà tóm íré má má tóm íré
  • How do these forms illustrate the following?
  • R?L mapping
  • one-to-many association
  • The OCP

21
Floating features
  • Japanese mimetic palatalization
  • palatalization targets the rightmost non-r
    coronal consonant
  • If there are none, the palatalizing feature links
    to the leftmost segment

UR mimetic gloss
a. /dosa/ doša-doša in large amounts
b. /toko/ trotting coko-coko childish small steps
c. /poko/ up and down movement pyoko-pyoko (pokyo) flip-flop, jumping around imprudently
d. /koro/ kyoro-kyoro look around indeterminately
22
1many pt 2 the skeleton
  • Bakwiri syllable reversing language game (Hombert
    1986)
  • kwélì falling ? líkwè

23
Geminates
  • Patient LBs errors when spelling geminates
    (Caramazza and Miceli 1990)

Stimulus Response
pezzo zeppo
cellula leccula
blocco bcollo
24
Conclusions
  • Nonlinear, autosegmental representation of
    segmental material enables us to account
    satisfyingly for a wide range of phenomena that
    would be difficult or impossible to account for
    with non-autonomous linear representations.
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