Flemming2021: experimental results (generated) #
Auto-generated from Linglib/Data/Experiments/Flemming2021.json by scripts/gen_experiments.py.
Do not edit by hand: edit the JSON and re-run the generator.
The observed probabilities of pronouncing schwa in the eight French contexts of (19), from the experiment of Smith and Pater (2020), with the probabilities fitted by the four stochastic Harmonic Grammars and their deviances (Table 2). The text gives the deviances of MaxEnt and censored NHG as 12.8 and 14.6 in that order; the table, and the footnote on censored NHG, give 14.6 to MaxEnt and 12.8 to censored NHG.
References #
Whether the schwa site is clitic-final, with an underlying schwa, or word-final, with none.
- zero : Underlying
/∅/: word-final, no underlying schwa
- schwa : Underlying
/ə/: clitic-final, an underlying schwa
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- Flemming2021.instDecidableEqUnderlying x✝ y✝ = if h : x✝.ctorIdx = y✝.ctorIdx then isTrue ⋯ else isFalse ⋯
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- Flemming2021.instReprUnderlying = { reprPrec := Flemming2021.instReprUnderlying.repr }
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How many consonants precede the schwa site.
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- Flemming2021.instDecidableEqOnset x✝ y✝ = if h : x✝.ctorIdx = y✝.ctorIdx then isTrue ⋯ else isFalse ⋯
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- Flemming2021.instReprOnset.repr Flemming2021.Onset.c prec✝ = Repr.addAppParen (Std.Format.nest (if prec✝ ≥ 1024 then 1 else 2) (Std.Format.text "Flemming2021.Onset.c")).group prec✝
- Flemming2021.instReprOnset.repr Flemming2021.Onset.cc prec✝ = Repr.addAppParen (Std.Format.nest (if prec✝ ≥ 1024 then 1 else 2) (Std.Format.text "Flemming2021.Onset.cc")).group prec✝
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- Flemming2021.instReprOnset = { reprPrec := Flemming2021.instReprOnset.repr }
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- Flemming2021.instFintypeOnset = { elems := { val := ↑Flemming2021.Onset.enumList, nodup := Flemming2021.Onset.enumList_nodup }, complete := Flemming2021.instFintypeOnset._proof_1 }
Equations
- Flemming2021.instDecidableEqFollowing x✝ y✝ = if h : x✝.ctorIdx = y✝.ctorIdx then isTrue ⋯ else isFalse ⋯
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- Flemming2021.instReprFollowing = { reprPrec := Flemming2021.instReprFollowing.repr }
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- Flemming2021.instDecidableEqModel x✝ y✝ = if h : x✝.ctorIdx = y✝.ctorIdx then isTrue ⋯ else isFalse ⋯
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- Flemming2021.instReprModel.repr Flemming2021.Model.maxEnt prec✝ = Repr.addAppParen (Std.Format.nest (if prec✝ ≥ 1024 then 1 else 2) (Std.Format.text "Flemming2021.Model.maxEnt")).group prec✝
- Flemming2021.instReprModel.repr Flemming2021.Model.nhg prec✝ = Repr.addAppParen (Std.Format.nest (if prec✝ ≥ 1024 then 1 else 2) (Std.Format.text "Flemming2021.Model.nhg")).group prec✝
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- Flemming2021.instReprModel = { reprPrec := Flemming2021.instReprModel.repr }
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- Flemming2021.instFintypeModel = { elems := { val := ↑Flemming2021.Model.enumList, nodup := Flemming2021.Model.enumList_nodup }, complete := Flemming2021.instFintypeModel._proof_1 }
A row of Table 2, p. 23: the observed probability of pronouncing schwa in a context and the probabilities the grammars fit.
- observed : Data.Experiments.Decimal
The observed probability, Pə.
- maxEnt : Data.Experiments.Decimal
The probability fitted by MaxEnt.
- normalMaxEnt : Data.Experiments.Decimal
The probability fitted by normal MaxEnt.
- nhg : Data.Experiments.Decimal
The probability fitted by NHG.
- censoredNhg : Data.Experiments.Decimal
The probability fitted by censored NHG.
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- Flemming2021.instReprSchwaRate = { reprPrec := Flemming2021.instReprSchwaRate.repr }
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The cells of Table 2, p. 23, by underlying and onset and following; checked against the page images.
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A row of Table 2, p. 23: the deviance of a grammar's fit, lower for a better fit.
- deviance : Data.Experiments.Decimal
The deviance.
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Equations
- Flemming2021.instDecidableEqFit.decEq { deviance := a } { deviance := b } = if h : a = b then h ▸ isTrue ⋯ else isFalse ⋯
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- Flemming2021.instReprFit = { reprPrec := Flemming2021.instReprFit.repr }
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The cells of Table 2, p. 23, by model; checked against the page images.
Equations
- Flemming2021.deviances Flemming2021.Model.maxEnt = { deviance := { mantissa := 146, exponent := 1 } }
- Flemming2021.deviances Flemming2021.Model.normalMaxEnt = { deviance := { mantissa := 217, exponent := 1 } }
- Flemming2021.deviances Flemming2021.Model.nhg = { deviance := { mantissa := 260, exponent := 1 } }
- Flemming2021.deviances Flemming2021.Model.censoredNhg = { deviance := { mantissa := 128, exponent := 1 } }