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User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis
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In: ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages ; https://halshs.archives-ouvertes.fr/halshs-03030529 ; ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages, Mar 2021, Hawai‘i, United States (2021)
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Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference
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A Bayesian Meta-Analysis of Infants’ Ability to Perceive Audio-VisualCongruence for Speech
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Abstract:
This paper quantifies the extent to which infants can perceive audio-visual congruence for speech information and assesses whether this ability changes with native-language exposure over time. A hierarchical Bayesian robust regression model of 92 separate effect sizes extracted from 24 studies indicates a moderate effect size in a positive direction (0.35, CI [0.21: 0.50]). This result suggests that infants possess a robust ability to detect audio-visual congruence for speech. Moderator analyses, moreover, suggest that infants’ audio-visual matching ability for speech emerges at an early point in the process of language acquisition and remains stable for both native and non-native speech throughout early development. A sensitivity analysis of the meta-analytic data, however, indicates that a moderate publication bias for significant results could shift the lower credible interval to include null effects. Based on these findings, we outline recommendations for new lines of enquiry and suggest ways to improve the replicability of results in future investigations.
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URL: https://eprints.whiterose.ac.uk/178159/ https://doi.org/10.1111/infa.12436
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User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis
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In: ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages ; https://halshs.archives-ouvertes.fr/halshs-03030529 ; ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages, Mar 2021, Hawai‘i, United States (2021)
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Using the Tromsø Recommendations to cite data in language work
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Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference
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In: ISSN: 2515-2459 ; EISSN: 2515-2467 ; Advances in Methods and Practices in Psychological Science ; https://hal-univ-rennes1.archives-ouvertes.fr/hal-02509817 ; Advances in Methods and Practices in Psychological Science, [Thousand Oaks]: [SAGE Publications], 2020, 3 (1), pp.24-52. ⟨10.1177/2515245919900809⟩ (2020)
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Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference
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In: ADVANCES IN METHODS AND PRACTICES IN PSYCHOLOGICAL SCIENCE, vol 3, iss 1 (2020)
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La transcription du linguiste au miroir de l’intelligence artificielle : réflexions à partir de la transcription phonémique automatique
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In: ISSN: 0037-9069 ; EISSN: 1783-1385 ; Bulletin de la Société de Linguistique de Paris ; https://halshs.archives-ouvertes.fr/halshs-02881731 ; Bulletin de la Société de Linguistique de Paris, Peeters Publishers, 2020, 116 (1) (2020)
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User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis
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In: ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages ; https://halshs.archives-ouvertes.fr/halshs-03030529 ; 2020 ; https://computel-workshop.org/ (2020)
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The Indigenous Languages Technology Project at NRC Canada: an empowerment-oriented approach to developing language software ...
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Characterizing the early vocabulary profiles of preverbal and minimally verbal children with autism spectrum disorder ...
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Characterizing the early vocabulary profiles of preverbal and minimally verbal children with autism spectrum disorder ...
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La transcription du linguiste au miroir de l’intelligence artificielle : réflexions à partir de la transcription phonémique automatique
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In: ISSN: 0037-9069 ; EISSN: 1783-1385 ; Bulletin de la Société de Linguistique de Paris ; https://halshs.archives-ouvertes.fr/halshs-02881731 ; Bulletin de la Société de Linguistique de Paris, Peeters Publishers, 2020, 116 (1) (2020)
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Characterizing the Early Vocabulary Profiles of Preverbal and Minimally Verbal Children with Autism Spectrum Disorder
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In: Autism (2020)
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Quantifying sources of variability in infancy research using the infant-directed-speech preference
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Phonetic lessons from automatic phonemic transcription: preliminary reflections on Na (Sino-Tibetan) and Tsuut’ina (Dene) data
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In: ICPhS XIX (19th International Congress of Phonetic Sciences) ; https://halshs.archives-ouvertes.fr/halshs-02059313 ; ICPhS XIX (19th International Congress of Phonetic Sciences), Aug 2019, Melbourne, Australia ; https://icphs2019.org/icphs2019-fullpapers/ (2019)
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Tromsø recommendations for citation of research data in linguistics ...
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Phonetic lessons from automatic phonemic transcription: preliminary reflections on Na (Sino-Tibetan) and Tsuut’ina (Dene) data
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In: ICPhS XIX (19th International Congress of Phonetic Sciences) ; https://halshs.archives-ouvertes.fr/halshs-02059313 ; ICPhS XIX (19th International Congress of Phonetic Sciences), Aug 2019, Melbourne, Australia ; https://icphs2019.org/icphs2019-fullpapers/ (2019)
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Bridging the gap: Incorporating language variation into documentary and descriptive linguistics
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Taking aim at the 'transcription bottleneck': integrating speech technology into language documentation and conservation
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