Stanley Ndebvu

dblp:352/5663 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0001-9077-3562ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval
cross-language information retrieval
0.912025
Advancing Chichewa IR · SIGIR 2025
Information retrieval › cross-language information retrieval
low-resource language retrieval
0.912025
Advancing Chichewa IR · SIGIR 2025
YearPublicationVenuePosition
2025 Advancing Chichewa IR
abstract
Malawi is home to over ten local languages, including Chichewa, yet many of these languages lack both printed and digital resources. Consequentially, access to information in these languages is limited, and this hinders knowledge sharing, which may potentially impact socio-economic development. In this paper, we discuss our work on developing language resources and tools for Chichewa. We begin by providing an overview of the Chichewa language, and highlight its inherent complexities that require new approaches to informa tion retrieval (IR) and natural language processing (NLP). We then present our past, current, and ongoing research and conclude with future directions. Our goal is to engage with the IR community to discuss how we can advance IR for low resource languages (LRLs) like Chichewa.
Stanley Ndebvu, Reuben Moyo, Catherine Chavula
SIGIR1