27 research outputs found

    Un intercambio de vocales altas en el sirionó (tupí-guaraní)

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    Este trabalho visa a demonstrar um processo de mudança  fonológica incomum e suas implicações para uma teoria de mudança lingüística como aquela proposta por Labov (1994). Concretamente, o artigo descreve a mudança diacrônica que se deu no Sirionó e no Bïa-yë, duas línguas Tupí-Guaraní faladas na região oriental da Bolívia. Em Bïa-yë as vogais *ɨ, *i, e suas contrapartes nasais, * ɨ̃ e * ĩ do Proto-Tupí, fundiram-se nas  vogais / i / e /  ĩ /, respetivamente. Em Sirionó, porém, a   anteriorização das proto-vogais * ɨ̃ e *ɨmotivou o recuo das vogais *i, * ĩ ou seja, essas vogais intercambiram suas posições originárias

    “Natural” stress patterns and dependencies between edge alignment and quantity sensitivity

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    We conducted an artificial language learning experiment to study learning asymmetries that might reveal latent preferences relating to, and any dependencies between, the edge alignment and quantity sensitivity (QS) parameters in stress patterning. We used a poverty of the stimulus approach to teach American English speakers an unbounded QS stress rule (stress a single CV: syllable) and either a left- or right-aligning QI rule if only light syllables were present. Forms with two CV: syllables were withheld in the learning phase and added in the test phase, forcing participants to choose between left- and right-aligning options for the QS rule. Participants learned the left- and right-edge QI rules equally well, and also the basic QS rule. Response patterns for words with two CV: syllables suggest biases favoring a left-aligning QS rule with a left-edge QI default. Our results also suggest that a left-aligning QS pattern with a rightedge QI default was least favored. We argue that stress patterns shown to be preferred based on evidence from ease-of-learning and participants’ untrained generalizations can be considered more natural than less favored opposing patterns. We suggest that cognitive biases revealed by artificial stress learning studies may have contributed to shaping stress typology.publishedVersio

    Iambic-Trochaic Law Effects among Native Speakers of Spanish and English

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    The Iambic-Trochaic Law (Bolton, 1894; Hayes, 1995; Woodrow, 1909) asserts that listeners associate greater intensity with group beginnings (a loud-first preference) and greater duration with group endings (a long-last preference). Hayes (1987; 1995) posits a natural connection between the prominences referred to in the ITL and the locations of stressed syllables in feet. However, not all lengthening in final positions originates with stressed syllables, and greater duration may also be associated with stress in nonfinal (trochaic) positions. The research described here challenged the notion that presumptive long-last effects necessarily reflect stress-related duration patterns, and investigated the general hypothesis that the robustness of long-last effects should vary depending on the strength of the association between final positions and increased duration, whatever its source. Two ITL studies were conducted in which native speakers of Spanish and of English grouped streams of rhythmically alternating syllables in which vowel intensity and/or duration levels were varied. These languages were chosen because while they are prosodically similar, increased duration on constituent-final syllables is both more common and more salient in English than Spanish. Outcomes revealed robust loud-first effects in both language groups. Long-last effects were significantly weaker in the Spanish group when vowel duration was varied singly. However, long-last effects were present and comparable in both language groups when intensity and duration were covaried. Intensity was a more robust predictor of responses than duration. A primary conclusion was that whether or not humans’ rhythmic grouping preferences have an innate component, duration-based grouping preferences, at least, and the magnitude of intensity-based effects are shaped by listeners’ backgrounds
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