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Vari, Judit; Tamburelli, Marco – Journal of Multilingual and Multicultural Development, 2023
Language maintenance research generally argues that providing endangered varieties with a standard impacts positively their vitality by e.g. increasing positive attitudes. This paper investigates whether different degrees of linguistic proximity between vernacular varieties and the standard may lead to different speakers' attitudes towards the…
Descriptors: Language Maintenance, Language Variation, Language Attitudes, Positive Attitudes
Ana Espírito Santo; Nélia Alexandre; Sílvia Perpiñán – Second Language Research, 2024
This article reports on an experimental study on the acquisition of prepositional relative clauses in second language European Portuguese by Chinese native speakers. It focuses on the role of resumption, mandatory in prepositional relative clauses in Chinese (the native language of the learners) and non-conventional in European Portuguese (the…
Descriptors: Form Classes (Languages), Phrase Structure, Second Language Learning, Second Language Instruction
Vandeweerd, Nathan; Housen, Alex; Paquot, Magali – Language Testing, 2023
This study investigates whether re-thinking the separation of lexis and grammar in language testing could lead to more valid inferences about proficiency across modes. As argued by Römer, typical scoring rubrics ignore important information about proficiency encoded at the lexis-grammar interface, in particular how the co-selection of lexical and…
Descriptors: French, Language Tests, Grammar, Second Language Learning
Kyle, Kristopher; Eguchi, Masaki; Choe, Ann Tai; LaFlair, Geoff – Language Testing, 2022
In the realm of language proficiency assessments, the domain description inference and the extrapolation inference are key components of a validity argument. Biber et al.'s description of the lexicogrammatical features of the spoken and written registers in the T2K-SWAL corpus has served as support for the TOEFL iBT test's domain description and…
Descriptors: Language Variation, Written Language, Speech Communication, Inferences
Hannah, L.; Kim, H.; Jang, E. E. – Language Assessment Quarterly, 2022
As a branch of artificial intelligence, automated speech recognition (ASR) technology is increasingly used to detect speech, process it to text, and derive the meaning of natural language for various learning and assessment purposes. ASR inaccuracy may pose serious threats to valid score interpretations and fair score use for all when it is…
Descriptors: Task Analysis, Artificial Intelligence, Speech Communication, Audio Equipment

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