Exploring West African Folk Narrative Texts Using Machine Learning
This paper examines how machine learning (ML) and natural language processing (NLP) can be used to identify, analyze, and generate West African folk tales. Two corpora of West African and Western European folk tales are compiled and used in three experiments on cross-cultural folk tale analysis. In...
Main Authors: | Gossa Lô, Victor de Boer, Chris J. van Aart |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-04-01
|
Series: | Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2078-2489/11/5/236 |
Similar Items
-
Armenian Folk Tales Translated: A Chronological Approach
by: Alvard Jivanyan
Published: (2022-12-01) -
Folk Tales-Palimpsests (On the Forms of the Authorship in the Folk Tales by the Slovak Romantic Writers)
by: Jana Piroščáková Pácalová
Published: (2014-02-01) -
Folk Tales – Palimpsests (On the Form of the Authorship in the Folk Tales by Slovak Romantic Writers) (The Final Part)
by: Jana Piroščáková Pácalová
Published: (2014-04-01) -
Stylistic text characteristics of Mari folk fairy tales
by: Ekaterina N. Morozova
Published: (2022-04-01) -
INEXPLICABLE BEINGS, PHENOMENA, AND EVENTS, CATEGORIZED AS MYTHOLOGICAL, AMONG THE PEOPLES OF THE SOUTH SLAVS: COLLECTIONS OF FOLK TALES, INTERVIEWS WITH STORYTELLERS AND MYTHOLOGICAL BEINGS IN MODERN NOVELS
by: Milena Medojevic
Published: (2023-03-01)