Speaking to Machine
Validity of Pronunciation Assessment by Technology-Driven Systems
Dados Bibliográficos
| ID | 22200671 |
|---|---|
| Autores | Ali Babaeian (Center for Assessment, autor correspondente) |
| Ano | 2025 |
| Volume | 5 |
| Fascículo | 3 |
| Páginas | 276-279 |
| Data de publicação | 2025-05-30 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Integrated Journal for Research in Arts and Humanities (JOURNAL) |
| Identificadores do periódico | ISSN: 2583-1712 • E-ISSN: 2583-1712 |
| Editora | Stallion Publication (PUBLISHER) |
| DOI | 10.55544/ijrah.5.3.31 |
| OpenAlex | W4410884879 |
| Idioma | EN |
| Referências citadas | 12 |
This mini review discusses the validity of technology-driven pronunciation assessment systems, focusing on their alignment with intelligibility as the central criterion of communicative competence. The review highlights the need for theoretical recalibration to ensure valid and inclusive assessment practices in high- and low-stakes contexts by interrogating scoring mechanisms, native-norm dependencies, and human-machine correlations
Linguistics · Natural language processing · Pronunciation · Computer Science · EFL/ESL Teaching and Learning · Philosophy · Phonetics and Phonology Research · Psychology · Speech and dialogue systems · Artificial Intelligence
| Velocidade de citação | historical |
|---|---|
| Altamente citado | Não |