TY - GEN
T1 - The Potential of Using Corpora and Concordance Tools for Language Learning
T2 - 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications, FICTA 2023
AU - Lim, Lily
AU - Wang, Vincent Xian
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2023
Y1 - 2023
N2 - This study uses corpus resources to investigate the rules of usage of two closely related expressions in English—‘interested in (doing)’ and ‘interested to (do)’—in order to assess the potential for language learning. Our investigation developed in three stages—(a) gaining a general view of the trends of use of the two expressions, b) identifying the verbs that construct the two, and c) detecting the rules of usage by scrutiny of the available evidence. Our results attest that the corpus technology provides readily useful information in the first two stages, while in-depth human–computer interaction (HCI) is crucial for inquisitive language learners to discover the rules in the third stage. The process of discovery not only takes multiple stages but also requires intensive human intelligence. We discuss the model for HCI as a focus for future studies in the context of the new generation of AI such as ChatGPT.
AB - This study uses corpus resources to investigate the rules of usage of two closely related expressions in English—‘interested in (doing)’ and ‘interested to (do)’—in order to assess the potential for language learning. Our investigation developed in three stages—(a) gaining a general view of the trends of use of the two expressions, b) identifying the verbs that construct the two, and c) detecting the rules of usage by scrutiny of the available evidence. Our results attest that the corpus technology provides readily useful information in the first two stages, while in-depth human–computer interaction (HCI) is crucial for inquisitive language learners to discover the rules in the third stage. The process of discovery not only takes multiple stages but also requires intensive human intelligence. We discuss the model for HCI as a focus for future studies in the context of the new generation of AI such as ChatGPT.
KW - Computer-assisted language learning
KW - Google Books Ngram Viewer
KW - Human–computer interaction
KW - Language corpus
KW - Sketch engine
UR - https://www.scopus.com/pages/publications/85178618083
U2 - 10.1007/978-981-99-6706-3_15
DO - 10.1007/978-981-99-6706-3_15
M3 - Conference contribution
AN - SCOPUS:85178618083
SN - 9789819967056
T3 - Smart Innovation, Systems and Technologies
SP - 165
EP - 175
BT - Intelligent Data Engineering and Analytics - Proceedings of the 11th International Conference on Frontiers of Intelligent Computing
A2 - Bhateja, Vikrant
A2 - Carroll, Fiona
A2 - Tavares, João Manuel R. S.
A2 - Sengar, Sandeep Singh
A2 - Peer, Peter
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 11 April 2023 through 12 April 2023
ER -