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Computational models of disfluencies : fillers and discourse markers in spoken language understanding ; Modèles computationnels des disfluences dans le traitement de la parole
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In: https://tel.archives-ouvertes.fr/tel-03653211 ; Computer science. Institut Polytechnique de Paris, 2022. English. ⟨NNT : 2022IPPAT001⟩ (2022)
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Single-word severity and intelligibility in CAS (Chenausky et al., 2022) ...
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Processing Phonotactic Illegality (Steinberg et al., 2016) ...
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A Mandarin Chinese–Oriented Sound Test (Hung et al., 2016) ...
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Processing Phonotactic Illegality (Steinberg et al., 2016) ...
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A Mandarin Chinese–Oriented Sound Test (Hung et al., 2016) ...
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On the benefits of speech-language therapy for cleft lip and/or palate (Sand et al., 2022) ...
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On the benefits of speech-language therapy for cleft lip and/or palate (Sand et al., 2022) ...
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Single-word severity and intelligibility in CAS (Chenausky et al., 2022) ...
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Task and language in Spanish–English narratives (Wofford et al., 2022) ...
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Task and language in Spanish–English narratives (Wofford et al., 2022) ...
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Prediction of upcoming pitch accent using Sandhi rules in Kansai Japanese: A web-based visual world eye-tracking study ...
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Abstract:
We investigate whether people predict pitch accent of an upcoming noun based on presence or absence of evidence for an accent change which we refer to as a Sandhi rule in Kansai dialects in Japanese using modifier-noun phrases like (1-4). When the modifier has an unaccented all-low tone as in (1-2), the tone of its final mora (genitive particle “no”) depends on the tone of the following noun. The final mora must have a high tone when the following noun begins with a low tone, and it must have a low tone when the following noun begins with a high tone. When the modifier has an unaccented all-high tone as in (3-4), the tone of its final mora does not vary depending on the tone of the following noun. Thus, the initial tone of the noun is predictable in (1-2) and unpredictable in (3-4). (1) Low (modifier) + Low (noun): shimashima no hikoːki (English: striped aeroplane), LLLL H LHLL (2) Low (modifier) + High (noun): shimashima no hitsuji (striped sheep), LLLL L HHH (3) High (modifier) + Low (noun): mizutama no ...
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Keyword:
Arts and Humanities; eye-tracking; FOS Languages and literature; Japanese; language comprehension; Linguistics; prediction; Psycholinguistics and Neurolinguistics; Social and Behavioral Sciences
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URL: https://osf.io/98t2k/ https://dx.doi.org/10.17605/osf.io/98t2k
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Agreement attraction in English and Czech: A direct experimental comparison ...
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Attention-Language Interface in Multilingual Assessment Instrument for Narratives (MAIN) ...
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Individual Differences in Word Recognition (McMurray et al., 2014) ...
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Individual Differences in Word Recognition (McMurray et al., 2014) ...
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Use of Parsing Heuristics in the Comprehension of Passive Sentences: Evidence from Dyslexia and Individual Differences
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In: Brain Sciences; Volume 12; Issue 2; Pages: 209 (2022)
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FedQAS: Privacy-Aware Machine Reading Comprehension with Federated Learning
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In: Applied Sciences; Volume 12; Issue 6; Pages: 3130 (2022)
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Literacy Acquisition Trajectories in Bilingual Language Minority Children and Monolingual Peers with Similar or Different SES: A Three-Year Longitudinal Study
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In: Brain Sciences; Volume 12; Issue 5; Pages: 563 (2022)
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Language-Internal Reanalysis of Clitic Placement in Heritage Grammars Reduces the Cost of Computation: Evidence from Bulgarian
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In: Languages; Volume 7; Issue 1; Pages: 24 (2022)
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