An Intelligent Vocabulary Size Measurement Method for Second Language Learner

Autor/inn/en	Xia, Tian; Chen, Xuemin; Parsaei, Hamid R.; Qiu, Feng
Titel	An Intelligent Vocabulary Size Measurement Method for Second Language Learner
Quelle	In: Language Testing in Asia, 13 (2023), Artikel 45 (24 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Xia, Tian)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
DOI	10.1186/s40468-023-00258-w
Schlagwörter	Vocabulary Development; Measurement Techniques; Language Tests; Second Language Learning; Robotics; Artificial Intelligence; Computer Simulation; Short Term Memory; Test Reliability; Test Validity; Accuracy + Suchen Sie Ihr Suchwort? Wortschatzarbeit; Messtechnik; Language test; Sprachtest; Zweitsprachenerwerb; Robotertechnik; Künstliche Intelligenz; Computergrafik; Computersimulation; Kurzzeitgedächtnis; Testreliabilität; Testvalidität
Abstract	This paper presents a new method for accurately measuring the vocabulary size of second language (L2) learners. Traditional vocabulary size tests (VSTs) are limited in capturing a tester's vocabulary and are often population-specific. To overcome these issues, we propose an intelligent vocabulary size measurement method that utilizes massive robot testers. They are equipped with randomized and word-frequency-based vocabularies to simulate L2 learners' variant vocabularies. An intelligent vocabulary size test (IVST) is developed to precisely measure vocabulary size for any population. The robot testers "take" the IVST, which dynamically generates quizzes with varying levels of difficulty adapted to the estimated tester's vocabulary size in real-time using an artificial neural network (ANN) through iterative learning. The effectiveness of the IVST is factually verified by their visible vocabularies. Additionally, we apply a long short-term memory (LSTM) model to further enhance the method's performance. The proposed method has demonstrated high reliability and effectiveness, achieving accuracies of 98.47% for the IVST and 99.87% for the IVST with LSTM. This novel approach provides a more precise and reliable method for measuring vocabulary size in L2 learners compared to traditional VSTs, offering potential benefits to language learners and educators. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01