Metaphor Annotation in Sesotho Text Corpus: Towards the Representation of Resource-Scarce Languages in NLP

NLP Web Services for Resource-Scarce Languages

In this paper, we present a project where existing text-based core technologies were ported to Java-based web services from various architectures. These technologies were developed over a period of eight years through various government funded projects for 10 resou

Linguistic metaphor identification in Sesotho

Overcoming Challenges in Corpus Studies of Low-Resource Languages Through Insights from a Sesotho Readability Metrics Project

This article is a narrative inquiry into the challenges of computational and corpus studies in low-r

Cross-lingual metaphor detection for low-resource languages

State-of-the-art metaphor detection (MD) models achieve human-like performance for English data, whi

The Annotation Scarcity Paradox in Low-Resource NLP Evaluation: A Decade of Acceleration and Emerging Constraints

Over the past decade, low-resource natural language processing (NLP) has experienced explosive growt

Building CLIA for Resource-Scarce African Languages

Since most of the existing major search engines and commercial Information Retrieval (IR) systems ar