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Stratification effects without morphological strata, syllable counting effects without counts - modelling English stress assignment with Naive Discriminative Learning

Bibliographic Data

ID4580810
AuthorsSabine Arndt-Lappe (0000-0001-7723-7151, Universität Trier), Robin Schrecklinger (0000-0001-7357-9138, Universität Trier), Fabian Tomaschek (0000-0003-2246-663X, University of Tübingen)
Year2023
Volume33
Issue4
Pages433-457
Publication date2023-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueMorphology (JOURNAL)
Journal identifiersISSN: 1871-5621 • E-ISSN: 1871-5656
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11525-022-09399-9
OpenAlexW4306696285
LanguageEN
Citations received2
References cited59

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 structure. While two generalisations capturing this correlation, directionality and stratification, 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 stratification effects 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 stratification 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 flat word representations. Morphological stratification emerges as an effect of the model learning that informativity with regard to stress position is unevenly distributed across all trigrams constituting a word. Morphological affix classes like stress-preserving and stress-shifting affixes are, hence, not predefined 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

Affix · Contrast (vision · Directionality · Discriminative model · Generative grammar · Linguistics · Natural language processing · Phonology · Speech recognition · Stratification (seeds · Stress (linguistics · Syllable · Trigram · Computer Science · Mathematics · Natural Language Processing Techniques · Phonetics and Phonology Research · Speech and dialogue systems · Artificial Intelligence

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Unique citing works2
Citations per year0,67
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

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