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Atypical corpus-based tools to the rescue: How a writing generator can help translators adapt to the demands of the market
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Catalanismes i dialectalismes lexicals de Naut Aran en Palmira Jaquetti. Elements de vocabulari sobre la pretesa natura acatalanada de l'alt aranès
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How Local School-Based Speech-Language Pathologists Facilitate Skill Transfer and Generalization For Students Who Stutter
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In: Honors Theses, University of Nebraska-Lincoln (2021)
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El tipo de tarea como factor de influencia interlingüística en el proceso de adquisición de español como tercera lengua o adicional
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In: Onomázein: Revista de lingüística, filología y traducción de la Pontificia Universidad Católica de Chile, ISSN 0718-5758, Nº. 54, 2021, pags. 41-71 (2021)
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Whatever it takes to understand a central banker: Embedding their words using neural networks
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Termes et métaphores, entre diffusion et orientation des savoirs
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In: La linguistique, 57, 1, 2021-04-23, pp.153-173 (2021)
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Does language transfer explain it all? The case of first language change in Russian-English bilinguals
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In: Russian Journal of Linguistics, Vol 25, Iss 4, Pp 908-930 (2021) (2021)
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L1 vs. L2 vs. L3 transfer: Evidence contra wholesale transfer models and privileged languages from grammatical gender and definiteness acquisition in sequential quardilinguals
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In: Proceedings of the Linguistic Society of America; Vol 6, No 1 (2021): Proceedings of the Linguistic Society of America; 9–23 ; 2473-8689 (2021)
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Evaluating and Improving Child-Directed Automatic Speech Recognition
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In: Computer Science Faculty Publications and Presentations (2020)
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Abstract:
Speech recognition has seen dramatic improvements in the last decade, though those improvements have focused primarily on adult speech. In this paper, we assess child-directed speech recognition and leverage a transfer learning approach to improve child-directed speech recognition by training the recent DeepSpeech2 model on adult data, then apply additional tuning to varied amounts of child speech data. We evaluate our model using the CMU Kids dataset as well as our own recordings of child-directed prompts. The results from our experiment show that even a small amount of child audio data improves significantly over a baseline of adult-only or child-only trained models. We report a final general Word-Error-Rate of 29% over a baseline of 62% that uses the adult-trained model. Our analyses show that our model adapts quickly using a small amount of data and that the general child model works better than school grade-specific models. We make available our trained model and our data collection tool.
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Keyword:
children; Computer Sciences; data collection; Electrical Engineering; speech recognition; transfer learning
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URL: https://scholarworks.boisestate.edu/cgi/viewcontent.cgi?article=1259&context=cs_facpubs https://scholarworks.boisestate.edu/cs_facpubs/250
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Variation Impoverishment resulting from Machine Translations: Empirical Evidence from Spanish Counterfactual Predicates
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In: ISSN: 2374-8850 ; International Journal of Language & Linguistics ; https://halshs.archives-ouvertes.fr/halshs-03330904 ; International Journal of Language & Linguistics, Center for Promoting Ideas, 2020, 7 (2), pp.21-28. ⟨10.30845/ijll.v7n2p3⟩ (2020)
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Variation Impoverishment resulting from Machine Translations: Empirical Evidence from Spanish Counterfactual Predicates
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In: ISSN: 2374-8850 ; International Journal of Language & Linguistics ; https://halshs.archives-ouvertes.fr/halshs-03330904 ; International Journal of Language & Linguistics, Center for Promoting Ideas, 2020, 7, ⟨10.30845/ijll.v7n2p3⟩ (2020)
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Do spatial relational labels facilitate three-year-old children’s 2D to 3D transfer of relational information in a spatial mapping task?
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Arctic snowpack characterization, climate monitoring and microwaves remote sensing ; Caractérisation du manteau neigeux arctique, suivi climatique et télédétection micro-onde
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In: https://tel.archives-ouvertes.fr/tel-03185802 ; Linguistique. Université Grenoble Alpes [2020-.]; Université de Sherbrooke (Québec, Canada), 2020. Français. ⟨NNT : 2020GRALU029⟩ (2020)
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Motivations of Low-Income Engineering Transfer Students Influencing Choice and Pursuit of Baccalaureate Degree Attainment
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Salgado, Leo. - : eScholarship, University of California, 2020
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Bootstrap methods for multi-task dependency parsing in low-resource conditions ; Méthodes d’amorçage pour l’analyse en dépendances de langues peu dotées
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In: https://tel.archives-ouvertes.fr/tel-03477961 ; Linguistics. Université Paris sciences et lettres, 2020. English. ⟨NNT : 2020UPSLE027⟩ (2020)
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Europe, l'autre cap, entre traductions et transferts
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In: https://hal.archives-ouvertes.fr/hal-03124335 ; 2020 (2020)
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Clickbait detection using multimodel fusion and transfer learning ; Détection de clickbait utilisant fusion multimodale et apprentissage par transfert
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In: https://tel.archives-ouvertes.fr/tel-03139880 ; Social and Information Networks [cs.SI]. Institut Polytechnique de Paris, 2020. English. ⟨NNT : 2020IPPAS025⟩ (2020)
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