中介语
模仿
语言能力
第二语言习得
心理学
语言评估
发音
认知心理学
语言习得
计算机科学
第二语言
语言学
结构效度
背景(考古学)
考试(生物学)
理解法
能力(人力资源)
构造(python库)
自然语言处理
第二语言损耗
心理语言学
语言能力
任务分析
语境效应
第一语言
自然语言
构造语言
语言教育
人工智能
测试有效性
作者
Sarah Löber,Kathy MinHye Kim,Xiaobin Chen
标识
DOI:10.1080/09588221.2026.2737122
摘要
Text-to-speech (TTS) is a technology widely used in second language learning and testing, for example in the case of learning material creation, pronunciation training, and speaking assessment. Such advances suggest that TTS may also hold great potential for automating performance-based measures of L2 knowledge and proficiency such as the Elicited Imitation (EI) test. However, questions remain about the impact of the technology on validity and fairness and consequently on how learners’ linguistic competence is interpreted. Both issues are crucial in the context of high-stakes language assessment but also for SLA research, where elicited performance is used to infer learners’ underlying interlanguage development. We show that EIs developed with TTS-synthesised stimuli demonstrated comparable construct validity as tests created with human-spoken stimuli and do not discriminate against test takers of varying proficiency or different first language backgrounds. EI scores were also not significantly different between human-spoken and TTS-synthesised items. These findings provide preliminary evidence for the use of TTS technology in language learning and language assessment contexts, with practical implications for researchers, educators, and test developers working in second language acquisition and bilingualism.
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