TY - GEN
T1 - Techniques for Generating Language Learning Resources
T2 - 21st Mexican International Conference on Artificial Intelligence, MICAI 2022
AU - Becerril, Ericka Ovando
AU - Calvo, Hiram
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Automatic generation systems for language learning, as well as computer-assisted language learning (CALL) systems have evolved according to the demands of teachers and students. For those systems, it is important to review Natural Language Processing (NLP) techniques aimed at that task, considering other disciplines such as Computational Sciences, Computational Linguistics and Creativity for teaching and learning other languages. This work is twofold. First, it presents an effort to review the main characteristics, methods and techniques used for its implementation, relevance and profitability of the systems developed in recent years; considering the importance to develop the abilities to recognize literal use of language as well as its non literal use, particularly metaphorical expressions in the natural process of learning a new language. For the second part, it presents a system that, based on the Trofi dataset (Gao G. et al. 2018), is able to generate different exercises to strengthen the students’ abilities to read and recognize the use of some verbs in literal and non-literal contexts.
AB - Automatic generation systems for language learning, as well as computer-assisted language learning (CALL) systems have evolved according to the demands of teachers and students. For those systems, it is important to review Natural Language Processing (NLP) techniques aimed at that task, considering other disciplines such as Computational Sciences, Computational Linguistics and Creativity for teaching and learning other languages. This work is twofold. First, it presents an effort to review the main characteristics, methods and techniques used for its implementation, relevance and profitability of the systems developed in recent years; considering the importance to develop the abilities to recognize literal use of language as well as its non literal use, particularly metaphorical expressions in the natural process of learning a new language. For the second part, it presents a system that, based on the Trofi dataset (Gao G. et al. 2018), is able to generate different exercises to strengthen the students’ abilities to read and recognize the use of some verbs in literal and non-literal contexts.
KW - Automatic generation systems for language learning
KW - Literal
KW - Metaphorical
KW - Natural language processing
UR - http://www.scopus.com/inward/record.url?scp=85142808520&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-19496-2_14
DO - 10.1007/978-3-031-19496-2_14
M3 - Contribución a la conferencia
AN - SCOPUS:85142808520
SN - 9783031194955
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 178
EP - 192
BT - Advances in Computational Intelligence - 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Proceedings
A2 - Pichardo Lagunas, Obdulia
A2 - Martínez Seis, Bella
A2 - Martínez-Miranda, Juan
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 24 October 2022 through 29 October 2022
ER -