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Optimality Theory (Prince & Smolensky 1993)
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Outline Phonetics and Phonology OT Characteristics Output-Oriented Conflicting Soft Well-formedness Constraints OT Grammar Families of Constraints OT-Tableau Example: Cluster Reduction in First Language Acquisition Data The Merits of OT
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Concept Derivationally- based Phonology (Chomsky & Halle 1968) Structural Description (SD): identifies class of inputs (= stored lexical forms) Structural Change (SC): specifies operations that change the input Chomsky (1976): writing a rule does not constitute a solution to a problem; writing a rule is merely a statement of a problem A B / X __ YSD: XAY SC: XAY XBY
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Optimality Theory (Prince & Smolensky 1993) Optimality Theory is a theory of language and grammar in which well-formedness constraints on outputs determine grammaticality If you don’t want phonology to be just a technique for data- compression, you have to seek the locus of explanatory action elsewhere (Prince & Smolensky, 1993)
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Why output-oriented? Not all phonology is derivationally-based Alternations in Turkish (Clements & Keyser, 1983): AccusativeNominativeAblative Degemination: ‘feeling’hiss+ihishis+ten ‘right’hakk+ihakhak+tan Epenthesis: ‘transfer’devr+idevirdevir+den ‘abdomen’karn+ kar nkar n+dan Vowel shortening: ‘time’zama:n+izamanzaman+dan ‘proof’isapa:t+iispatispat+tan
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Why output-oriented? Not all phonology is derivationally-based Alternations in Turkish (Clements & Keyser, 1983): AccusativeNominativeAblative Degemination: ‘feeling’hiss+ihishis+ten ‘right’hakk+ihakhak+tan Epenthesis: ‘transfer’devr+idevirdevir+den ‘abdomen’karn+ kar nkar n+dan Vowel shortening: ‘time’zama:n+izamanzaman+dan ‘proof’isapa:t+iispatispat+tan Output Constraint: Turkish syllables cannot exceed the structure CVC/CVV
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Potentially Conflicting, Soft Constraints Optimality Theory is a theory of language and grammar in which well- formedness constraints on outputs determine grammaticality
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These constraints apply simultaneously to representations of structures. They are potentially conflicting and they are soft, which means violable Potentially Conflicting, Soft Constraints
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These constraints apply simultaneously to representations of structures. They are potentially conflicting and they are soft, which means violable Potentially Conflicting, Soft Constraints
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Example Foot ( ) Syllable ( ) Syllable ( ) p pa
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Conflicting Constraints Nonfinality: stress never falls on the last Peak Prominence: stress falls on the heaviest constraints nonfinality peak prominence candidates . . *! * stress application
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Conflicting Constraints Nonfinality: stress never falls on the last Peak Prominence: stress falls on the heaviest constraints peak prominence nonfinality candidates . *! . * stress application
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OT-grammar GEN generates a set of candidate outputs e.g. stress assignment papapa candidates: pápapa; papápa; papapá
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OT-grammar GEN generates a set of candidate outputs e.g. stress assignment papapa candidates: pápapa; papápa; papapá H-EVALdetermines the relative harmony of the possible output structures and evaluates which one satisfies the relevant constraints best: the optimal output (indicated by ‘ ’)
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OT-tableau constr 2constr 3constr 1 constr 4 input output 1 output 2 output 3 *! * * * vertical: all output candidates ( is optimal output) horizontal: constraint 1 dominates constraint 2; 2 >> 3, etc. *:output violates constraint (*!: violation is fatal) grey cell:evaluation is irrelevant.
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Families of Constraints Markedness (prefers unmarked structures): ONS: syllables must have onsets *CODA: syllables must not have a coda more harmonic than one of lower/higher sonority Hnuc/Hmar: A higher/lower sonority nucleus is Correspondence (ensures diversity): relates elements of different strings (e.g. inputs and outputs) MAX-IO: every segment of the input has a correspondent in the output (prohibits deletion) DEP-IO: every segment of the output has a correspondent in the input (prohibits epenthesis) Alignment (refers to constituent edges)
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Markedness (prefers unmarked structures): ONS: syllables must have onsets *CODA: syllables must not have a coda *COMPLEX: no clusters of consonants (1;2)(1;3) Families of Constraints
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Correspondence (ensures diversity): relates elements of different strings (e.g. inputs and outputs) MAX-IO: every segment of the input has a correspondent in the output (prohibits deletion) DEP-IO: every segment of the output has a correspondent in the input (prohibits epenthesis) (3;0) Families of Constraints
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Alignment (refers to constituent edges) (1;11) violation of alignment: morphology:aard # appel phonology:aar $ dap $ pel Align (Cat1,Edge1,Cat2,Edge2) =def Cat1 Cat2 in such a way that Edge1 of Cat1 and Edge2 of Cat2 coincide Families of Constraints
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OT and UG At least an important subset of constraints is shared by all languages, forming part of Universal Grammar
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OT and UG At least an important subset of constraints is shared by all languages, forming part of Universal Grammar Individual languages rank these universal constraints differently in their language- specific hierarchies in such a way that higher ranked constraints have total dominance over lower ranked constraints
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OT-tableau Berber constraints ONS Hnuc candidates Ul *! wL input /ul/ /u/ /l/
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OT-tableau Dutch constraints Hnuc ONS candidates Ul /u/ wL /l/! input /ul/ *
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First Language Acquisition in Optimality Theory
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Learning First Language Learning a language comes down to resolving possible constraint conflicts by ranking the unordered UG-constraints in a strict dominance hierarchy
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Example: Cluster Reduction in First Language Acquisition Data (1;9)
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Tableau Steven Stage (1;9) *COMPLMAX-IOHons/ / [ ] [ ] [ ] [ ] * *! * * ** /k/ /l/! ONS
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Tableau Steven Stage (1;9) *COMPLMAX-IOHons/stul/ [stul] [ul] [sul] [tul] * *! * * ** /s/! /t/ ONS
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syllabe (2;0) onsetrhyme marginnucleus pre-m. m.core satellitepeak satellite coda app. s x a p Positional Markedness
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Tableau Dutch Ranking *COMPLMAX-IOHons/stul/ [stul] [ul] [sul] [tul] *!* *! * * /s/ /st/ /t/ ONS
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Tableau Dutch Ranking *COMPLMAX-IOHons/stul/ [stul] [ul] [sul] [tul] *!* *! * * /s/ /st/ /t/ ONS (2;1)
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syllabe (1,11) onsetrhyme marginnucleus pre-m. m.core satellitepeak satellite coda app. x t OT: Hmar: /t/ > /x/
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syllabe (2,2) onsetrhyme marginnucleus pre-m. m.core satellitepeak satellite coda app. k r s t OT: Hmar: /t/ > /s/
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Merits of OT (1) Conspiracy of Different Influences Hindi Heaviness Scale: superheavy VVC; VCC heavy VV; VC light V
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Peak Prominence in Hindi ki.dhar ja.naab as.baab ru.pi.aa reez.ga.rii
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Nonfinality in Hindi avoidance of stress on final syllable (in event of a tie) trad. analysis: extrametricality/stress shift/destressing sa.mi.ti ru.kaa.yaa aas.maan.jaah
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Peak-Prominence >> Nonfinality >> AlignR conspiracy of different influences determines the most optimal output OT ranking
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Peak-Prominence >> Nonfinality >> AlignR conspiracy of different influences determines the most optimal output OT vs. PARAMETER SYSTEM : Parameters:Choice: Setting: Foot Type:Quantity In-/Sensitive QS Foot Size:Bounded/Unbounded Bounded Direction:Right to Left/L to R R L Extrametricality:Yes/No Yes Edge of Extrametr.:Left/Right Right etc. OT ranking
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Peak-Prominence >> Nonfinality >> AlignR conspiracy of different influences determines the most optimal output OT vs. PARAMETER SYSTEM : extrametricality parameter: wrong outputs for ki.dhar - ja.naab - etc. R L scan sees no difference between final heavy ’s: ru.pi.aa - ru.kaa.yaa - reez.ga.rii L R scan sees no difference between initial superheavy ’s: reez.ga.rii - aas.maan.jaah OT ranking
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Merits of OT (2) constraints C1 C2 C3 C4... ONS *CODA candidates $ * *! * $ * * The Emergence of the Unmarked : If two candidate outputs tie on all dominating constraints, the choice depends on the influence of a low-ranked constraint. cf. principles & parameters theory: Dutch ONS: not obligatory; Dutch Coda: not forbidden syllabification
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Merits of OT (3) Relative Grammaticality
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how to restrict the number of constraints? variability deflective systems what’s in GEN? what’s an input? levels of representation/ cyclicity OT: Work in Progress
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