Dense Retrieval for Low Resource Languages -- the Case of Amharic Language
arXiv:2503.18570v12 citationsh-index: 9SIGIR
Originality Synthesis-oriented
AI Analysis
This addresses information retrieval for Amharic speakers, but appears incremental as it applies existing methods to a new language.
The paper tackled the challenge of applying dense retrieval methods to Amharic, a low-resource language with 120 million speakers, and reported difficulties and results from efforts by University Addis Ababa, though no concrete numbers are provided.
This paper reports some difficulties and some results when using dense retrievers on Amharic, one of the low-resource languages spoken by 120 millions populations. The efforts put and difficulties faced by University Addis Ababa toward Amharic Information Retrieval will be developed during the presentation.