Vocabulary tests administered on multilingual populations should take into account the unique linguistic and cultural makeup of the population by adopting test development methods that allow responses in several languages. Our aims were to develop a picture-naming test for multilingual Lebanese school-age children (L1: Lebanese, L2: French and/or…

Artificial intelligence (AI) technologies have the potential to reduce the workload for the second language (L2) teachers and test developers. We propose two AI distractor-generating methods for creating Chinese vocabulary items: semantic similarity and visual similarity. Semantic similarity refers to antonyms and synonyms, while visual similarity…