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Universal Segmentations 1.0 (UniSegments 1.0)
Žabokrtský, Zdeněk; Bafna, Nyati; Bodnár, Jan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2022
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2
LINGUIST List Resources for Spanish
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3
Pan-Latin Textile Fibres Vocabulary
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4
Linguistic attitudes based on cognitive, affective and behavioral components in respect to Andalusian linguistic variation of Moroccan university students
In: Lengua y migración / Language and Migration 12:1 (2020) Monográfico, 175-202 (2022)
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Neologismos del afecto: análisis del nuevo léxico generado en el ámbito de la psicología de la pareja: Neologisms of affection: analysis of the new lexicon generated in the field of couple psychology
In: Estudios Románicos; Vol. 31 (2022) ; Études Romanes; Vol. 31 (2022) ; Studi Romanici; V. 31 (2022) ; 1989-614X ; 0210-4911 (2022)
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6
Integrating the visual arts into Spanish-as-a-foreign-language education: developing visual literacy and lexical competence using a visual thinking strategies-led teaching.
López Cuenca, Elena. - : Dublin City University. School of Applied Language and Intercultural Studies, 2021
In: López Cuenca, Elena orcid:0000-0003-3781-2953 (2021) Integrating the visual arts into Spanish-as-a-foreign-language education: developing visual literacy and lexical competence using a visual thinking strategies-led teaching. Doctor of Education thesis, Dublin City University. (2021)
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7
Participation and deliberation in language policy: the case of gender-neutral language
In: Erdocia, Iker orcid:0000-0003-2459-1346 (2021) Participation and deliberation in language policy: the case of gender-neutral language. Current Issues in Language Planning . ISSN 1466-4208 (2021)
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8
Opinion Writing of Native Spanish and Native English Speakers in College Developmental Education Courses
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9
Universal Derivations v1.1
Kyjánek, Lukáš; Žabokrtský, Zdeněk; Vidra, Jonáš. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021
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10
NameTag 2 Models (2021-09-16)
Straková, Jana; Straka, Milan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021
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11
WALS Online Resources for Spanish
: Max Planck Institute for Evolutionary Anthropology, 2021
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12
WALS Online Resources for Spanish (Canary Islands)
: Max Planck Institute for Evolutionary Anthropology, 2021
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13
The Multi-Domain International Search on Speech 2020 ALBAYZIN Evaluation: Overview, Systems, Results, Discussion and Post-Evaluation Analyses
In: Applied Sciences ; Volume 11 ; Issue 18 (2021)
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14
Which Utterance Types Are Most Suitable to Detect Hypernasality Automatically?
In: Applied Sciences ; Volume 11 ; Issue 19 (2021)
Abstract: Automatic tools to detect hypernasality have been traditionally designed to analyze sustained vowels exclusively. This is in sharp contrast with clinical recommendations, which consider it necessary to use a variety of utterance types (e.g., repeated syllables, sustained sounds, sentences, etc.) This study explores the feasibility of detecting hypernasality automatically based on speech samples other than sustained vowels. The participants were 39 patients and 39 healthy controls. Six types of utterances were used: counting 1-to-10 and repetition of syllable sequences, sustained consonants, sustained vowel, words and sentences. The recordings were obtained, with the help of a mobile app, from Spain, Chile and Ecuador. Multiple acoustic features were computed from each utterance (e.g., MFCC, formant frequency) After a selection process, the best 20 features served to train different classification algorithms. Accuracy was the highest with syllable sequences and also with some words and sentences. Accuracy increased slightly by training the classifiers with between two and three utterances. However, the best results were obtained by combining the results of multiple classifiers. We conclude that protocols for automatic evaluation of hypernasality should include a variety of utterance types. It seems feasible to detect hypernasality automatically with mobile devices.
Keyword: ANN; automatic detection of speech deficits; hypernasality; Spanish language; speech acoustic features
URL: https://doi.org/10.3390/app11198809
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15
Quantifying Paradigm Shape in Spanish Verbs
LeFevre, Grace. - : The Ohio State University, 2021
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16
La lexicografía bilingüe italiano-español: ayer, hoy y mañana ...
Calvo Rigual, Cesáreo. - : University of Salento, 2021
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17
Glottolog 4.4 Resources for Spanish
: Max Planck Institute for Evolutionary Anthropology, 2021
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18
La gamificación como catalizadora de la motivación en una propuesta didáctica de castellano lengua primera
Berrios Muñoz, Andrea Libertad. - : Universitat de Barcelona, 2021
In: TDX (Tesis Doctorals en Xarxa) (2021)
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19
Una anàlisi comparativa del domini del català i del castellà orals a la fi de l'Educació Secundària Obligatòria a Catalunya
Vila i Moreno, F. Xavier (Francesc Xavier); Comajoan, Llorenç; Illamola i Gómez, Cristina. - : Escola d'Administració Pública de Catalunya, 2021
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20
La adquisición del SD en español por adultos de lengua materna árabe egipcio
Vilosa Sánchez, Marta. - : Universitat de Girona, 2021
In: TDX (Tesis Doctorals en Xarxa) (2021)
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