Arabic rhetorical device annotation of 'How to Make Falafel'

This article presents an annotated analysis of the rhetorical devices in a set of instructions accompanying a commercial falafel mix. The instructions guide the user to make falafel using the mix. The annotation demonstrates the application of corpus linguistics methods to Arabic rhetoric, contributing to the broader field of computational analysis of Arabic rhetorical devices.

Institutions

Publication Details

Journal
The Balagha Corpus Journal
Published
2025-04-23
DOI
https://doi.org/10.64393/balagha-corpus.1
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Arabic rhetorical device annotation of 'How to Make Falafel'

The Balagha Corpus Journal
Natural Language Processing Techniques
article

Arabic rhetorical device annotation of 'How to Make Falafel'

article en

Abstract

This article presents an annotated analysis of the rhetorical devices in a set of instructions accompanying a commercial falafel mix. The instructions guide the user to make falafel using the mix. The annotation demonstrates the application of corpus linguistics methods to Arabic rhetoric, contributing to the broader field of computational analysis of Arabic rhetorical devices.

The Balagha Corpus JournalVol. 1(1)
University of London (GB), SOAS University of London (GB), Arab Studies and Research Institute (EG), Universidad de Londres (MX)
Quality Education
Openalex Percentile: Top 22%
Natural Language Processing Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.