Automated identification of discourse markers using the NLP approach: The case of okay.
This study aimed to examine the potentials of the NLP approach in detecting discourse markers (DMs), namely okay, in transcribed spoken data. One hundred thirty-eight concordance lines were presented to human referees to judge the functions of okay in them as a DM or Non-DM. After that, the research...
| Publicado en: | Australian Journal of Applied Linguistics Vol. 4; no. 3; pp. 119 - 132 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Castledown Publishers
2021
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |