Developing and implementing an English-Spanish literary parallel audio-textual corpus for data-driven ESL learning
Dados Bibliográficos
| ID | 5043849 |
|---|---|
| Autores | Michael Lang (0000-0003-3268-215X, Universidade de Santiago de Compostela), Xavier Gómez Guinovart (0000-0001-9961-6953, Universidade de Vigo) |
| Ano | 2021 |
| Volume | 37 |
| Fascículo | 1 |
| Data de publicação | 2021-01-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | DELTA Documentação de Estudos em Lingüística Teórica e Aplicada (JOURNAL) |
| Identificadores do periódico | ISSN: 0102-4450 • E-ISSN: 1678-460X |
| Editora | FapUNIFESP (SciELO) (PUBLISHER) |
| DOI | 10.1590/1678-460x2021370106 |
| OpenAlex | W3146839848 |
| SCIELO_PID | S0102-44502021000100405 |
| Idioma | EN |
| Referências citadas | 18 |
The purpose of this paper is to present the LITTERA corpus, an English-Spanish literary parallel speech corpus created for the purpose of language learning, and to sketch out a few pedagogical applications for the study of English phonology by Spanish-speaking language learners. It is composed of 25 literary texts that have been aligned with the Spanish translation and are accompanied by audio from the corresponding audiobooks. In this article, we will detail its conception, composition and features at length, as well as provide a few examples of how LITTERA can be applied in language learning, particularly within the realm of oral comprehension and speech production
Comprehension · Corpus linguistics · Linguistics · Natural language processing · Phonology · Pronunciation · Realm · Sketch · Artificial Intelligence · Computer Science · History · Linguistic Studies and Language Acquisition · Natural Language Processing Techniques · Phonetics and Phonology Research
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Corpora in language teaching and learning
Accessing and interpreting corpus information in the teacher education context
Raising teachers' awareness of corpora
Stress and rhythm in English
Pragmatics and Prosody in English Language Teaching
| Velocidade de citação | historical |
|---|---|
| Altamente citado | Não |