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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...

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Published in:Australian Journal of Applied Linguistics Vol. 4; no. 3; pp. 119 - 132
Main Authors: SANOSI, ABDULAZIZ, ABDALLA, MOHAMED
Format: Article
Published: Castledown Publishers 2021
Subjects:
Natural language processing
Corpora
Python programming language
Machine learning
Discourse analysis
Online Access:View this record in EBSCOhost

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View this record in EBSCOhost