@inproceedings{38b0635520db4e48827ea3d31c5fd086,
title = "Extracting Concepts and Semantic Associates for Teaching Tang 300 Poems to L2 Learners",
abstract = "This research aims to explore the possibility of extracting language concepts and semantic associates through the diachronic construction of cross-linguistic knowledge resources based on the framework of an existing fine-grained ontological system developed by the Sinica BOW Tang 300 poems project. The authors attempt to provide language educators with a different perspective of instructional design by understanding and meeting L2 learners{\textquoteright} needs through the in-depth analysis of massive bilingual language data. It is hoped that synergized linguistic knowledge net(s) could better facilitate L2 Chinese language teaching and learning.",
keywords = "Concept knowledge, Cross-linguistic knowledge, Semantic associates, Small domain ontology",
author = "Yanlin Li and Huang, {Chu Ren}",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 23rd Chinese Lexical Semantics Workshop, CLSW 2022 ; Conference date: 14-05-2022 Through 15-05-2022",
year = "2023",
month = apr,
day = "25",
doi = "10.1007/978-3-031-28953-8_18",
language = "English",
isbn = "9783031289521",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "233--243",
editor = "Qi Su and Ge Xu and Xiaoyan Yang",
booktitle = "Chinese Lexical Semantics",
address = "Germany",
}