Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

NERDz: A Preliminary Dataset of Named Entities for Algerian

Domain:

natural language processing

Record type:

datasetpaper
Creator:
AssTou
Publisher:
Und
Host:avatar
This paper introduces a first step towards creating the NERDz dataset. A manually annotated dataset of named entities for the Algerian vernacular dialect. The annotations are built on top of a recent extension to the Algerian NArabizi Treebank, comprizing NArabizi sentences with manual transliterations into Arabic and code-switched scripts. NERDz is therefore not only the first dataset of named entities for Algerian, but it also comprises parallel entities written in Latin, Arabic, and code-switched scripts. We present a detailed overview of our annotations, inter-annotator agreement measures, and define two preliminary baselines using a neural sequence labeling approach and an Algerian BERT model. We also make the annotation guidelines and the annotations available for future work. To view the proceedings, please click here (aclanthology.org)

Visit

doi.orgunderline.io

Tasks

named entity recognitioninformation extraction

Languages

Arabic, Algerian Spoken

Tags

Natural Language Processing

Similar

Kabyle Standardized Named Entities DatasetGhana Named EntitiesGhanaNLP/Ghana-Named-EntitiesDzNER: A large Algerian Named Entity Recognition datasetGhana Named Entities TTS (Twi)Neurals Networks for Projecting Named Entities from English to Ewondo

Kabyle Standardized Named Entities Dataset

This is a manually curated parallel corpus in Kabyle complete with semantic English contextual trans

Ghana Named Entities

A curated dataset of named entities extracted from Ghanaian news sources, compiled by the Ghana NLP

GhanaNLP/Ghana-Named-Entities

List of Named Entities in Ghana # 🇬🇭 Ghana Named Entities A curated dataset of named entities extra

DzNER: A large Algerian Named Entity Recognition dataset

Ghana Named Entities TTS (Twi)

A Twi-language speech dataset built from descriptions of Ghana named entities (people, places, organ

Neurals Networks for Projecting Named Entities from English to Ewondo

Named entity recognition is an important task in natural language processing. It is very well studied for rich language, but still under explored for low-resource languages. The main reason is that the existing techniques required a lot of annotated data to reach g