Stratification without morphological strata, syllable counting without counts - modelling English stress assignment with Naive Discriminative Learning
This article is a preprint and has not been certified by peer review [What does this mean?].
Author(s) / Creator(s)
Arndt-Lappe, Sabine
Schrecklinger, Robin
Tomaschek, Fabian
Abstract / Description
Stress position in English words is well-known to correlate with both their morphological
properties and their phonological organisation in terms of non-segmental, prosodic categories like syllable
and foot structure. While two generalisations capturing this correlation, directionality and strati cation,
are well established, the exact nature of the interaction of phonological and morphological factors in English stress assignment is a much debated issue in the literature. The present study investigates if and
how directionality and strati cation e ects in English can be learned by means of Naive Discriminative
Learning, a computational model that is trained using error-driven learning and that does not make
any a-priori assumptions about the higher-level phonological organisation and morphological structure of words. Based on a series of simulation studies we show that neither directionality nor strati cation need to be stipulated as a-priori properties of words or constraints in the lexicon. Stress can be learned solely on the basis of very
at word representations. Morphological strati cation emerges as an e ect of the model learning that informativity with regard to stress position is unevenly distributed across all trigrams constituting a word. Morphological a x classes like stress-preserving and stress-shifting a xes are, hence, not prede ned classes but sets of trigrams that have similar informativity values with regard to stress position. Directionality, by contrast, emerges as spurious in our simulations; no syllable counting or recourse to abstract prosodic representations seems to be necessary to learn stress position in English.
Keyword(s)
naive discriminative learning error-driven learning morphological strata stress assignment directionalityPersistent Identifier
Date of first publication
2021-09-04
Publisher
PsychArchives
Is version of
Citation
Arndt-Lappe, S., Schrecklinger, R., & Tomaschek, F. (2021). Strati cation without morphological strata, syllable counting without counts - modelling English stress assignment with Naive Discriminative Learning. PsychArchives. https://doi.org/10.23668/PSYCHARCHIVES.5082
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Arndt-LappeSchrecklingerTomaschek21_draftversion.pdfAdobe PDF - 232.53KBMD5: cd772cd2201615db4e20aa199a40d0d5
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There are no other versions of this object.
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Author(s) / Creator(s)Arndt-Lappe, Sabine
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Author(s) / Creator(s)Schrecklinger, Robin
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Author(s) / Creator(s)Tomaschek, Fabian
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PsychArchives acquisition timestamp2021-09-04T09:21:48Z
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Made available on2021-09-04T09:21:48Z
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Date of first publication2021-09-04
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Abstract / DescriptionStress position in English words is well-known to correlate with both their morphological properties and their phonological organisation in terms of non-segmental, prosodic categories like syllable and foot structure. While two generalisations capturing this correlation, directionality and strati cation, are well established, the exact nature of the interaction of phonological and morphological factors in English stress assignment is a much debated issue in the literature. The present study investigates if and how directionality and strati cation e ects in English can be learned by means of Naive Discriminative Learning, a computational model that is trained using error-driven learning and that does not make any a-priori assumptions about the higher-level phonological organisation and morphological structure of words. Based on a series of simulation studies we show that neither directionality nor strati cation need to be stipulated as a-priori properties of words or constraints in the lexicon. Stress can be learned solely on the basis of very at word representations. Morphological strati cation emerges as an e ect of the model learning that informativity with regard to stress position is unevenly distributed across all trigrams constituting a word. Morphological a x classes like stress-preserving and stress-shifting a xes are, hence, not prede ned classes but sets of trigrams that have similar informativity values with regard to stress position. Directionality, by contrast, emerges as spurious in our simulations; no syllable counting or recourse to abstract prosodic representations seems to be necessary to learn stress position in English.en
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Publication statusunknownen
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Review statuspeerRevieweden
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SponsorshipSupport for this research was provided by the Deutsche Forschungsgemeinschaft, grant FOR 2373en
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CitationArndt-Lappe, S., Schrecklinger, R., & Tomaschek, F. (2021). Strati cation without morphological strata, syllable counting without counts - modelling English stress assignment with Naive Discriminative Learning. PsychArchives. https://doi.org/10.23668/PSYCHARCHIVES.5082en
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Persistent Identifierhttps://hdl.handle.net/20.500.12034/4506
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Persistent Identifierhttps://doi.org/10.23668/psycharchives.5082
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Language of contenteng
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PublisherPsychArchivesen
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Is version ofhttps://doi.org/10.1007/s11525-022-09399-9
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Keyword(s)naive discriminative learningen
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Keyword(s)error-driven learningen
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Keyword(s)morphological strataen
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Keyword(s)stress assignmenten
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Keyword(s)directionalityen
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Dewey Decimal Classification number(s)150
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TitleStratification without morphological strata, syllable counting without counts - modelling English stress assignment with Naive Discriminative Learningen
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DRO typepreprinten
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Leibniz subject classificationSprache, Linguistikde_DE
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Visible tag(s)Linguisticsen
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Visible tag(s)morphologyen
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Visible tag(s)phonologyen
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Visible tag(s)computational modellingen