Logo Lanfrica

In the heart of Swahili: An exploration of data collection methods and corpus curation for natural language processing

Type de record:

dataset
Créateur:
BerNoe
Éditeur:
Elsevier BV
Hôte:

Languages

Swahili

Licenses

https://www.elsevier.com/tdm/userlicense/1.0/https://www.elsevier.com/legal/tdmrep-licensehttp://creativecommons.org/licenses/by-nc/4.0/

Similaires

Kencorpus: A Kenyan Language Corpus of Swahili, Dholuo and Luhya for Natural Language Processing Tasks

Indigenous African languages are categorized as under-served in Natural Language Processing. They th

Replication Data for Igbo Natural Language Processing Tasks I Igbo Synchronised Corpus for Natural Language Processing Tasks

The Igbo synchronised corpus (IgboSynCorp) is an annotated corpus of spoken Igbo created by a team o

Replication Data for Igbo Natural Language Processing Tasks II Igbo Synchronised Corpus for Natural Language Processing Tasks

The Igbo synchronised corpus (IgboSynCorp) is an annotated corpus of spoken Igbo created by a team o

Comparing Methods for Overcoming Data Scarcity in Less-Resourced Natural Language Processing

Natural language processing (NLP) tasks like named entity recognition (NER) and automatic text summa

Integrating Natural Language Processing into Research-Based Teaching and Learning for Developing a Swahili Corpus

Natural language processing is a machine-learning technique that encompasses multiple topics and tas

NEMLAR CORPUS IMPROVEMENT FOR ARABIC NATURAL LANGUAGE PROCESSING

Most machine learning approaches in Natural Language Processing rely mainly on corpora. Indeed, vari