Developing and implementing an English-Spanish literary parallel audio-textual corpus for data-driven ESL learning

Bibliographic Data

ID5043849
AuthorsMichael Lang (0000-0003-3268-215X, Universidade de Santiago de Compostela), Xavier Gómez Guinovart (0000-0001-9961-6953, Universidade de Vigo)
Year2021
Volume37
Issue1
Publication date2021-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueDELTA Documentação de Estudos em Lingüística Teórica e Aplicada (JOURNAL)
Journal identifiersISSN: 0102-4450 • E-ISSN: 1678-460X
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/1678-460x2021370106
OpenAlexW3146839848
SCIELO_PIDS0102-44502021000100405
LanguageEN
References cited18

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