Hausa
PulseAugur coverage of Hausa — every cluster mentioning Hausa across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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ASR systems evaluated for low-resource African language text corpora
Researchers have evaluated the effectiveness of Automatic Speech Recognition (ASR) systems for creating text corpora for low-resource African languages, specifically Fongbe and Hausa. By fine-tuning the MMS-300M model o…
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LLMs struggle with Hausa and Fongbe translation, metrics unreliable
A new study evaluated the machine translation capabilities of four large language models (LLMs) for Hausa and Fongbe, two West African languages. The research found that while Hausa achieved acceptable translation quali…
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Study finds contrastive prompts boost African language NLI performance
A new study published on arXiv explores prompting strategies for Natural Language Inference (NLI) in low-resource African languages, specifically Swahili, Yoruba, and Hausa. Researchers evaluated five different promptin…
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New Corpus Aims to Boost African Languages in Science
A new parallel corpus called AfriScience-MT has been developed to address the lack of scientific terminology in six African languages: Amharic, Hausa, Luganda, Northern Sotho, Yorùbá, and isiZulu. This corpus, created b…
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Survey maps NLP resources for Hausa and Fongbe languages
A new survey paper details the current landscape of natural language processing (NLP) resources for Hausa and Fongbe, two West African languages. The research systematically catalogs available text and speech datasets, …
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New SBPN model boosts Nigerian language ASR via knowledge distillation
Researchers have developed a new multilingual Automatic Speech Recognition (ASR) framework called Sometin Beta Pass Notin (SBPN) to improve performance for Nigerian languages. The framework uses a two-stage knowledge di…
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New models improve Hausa NLP by correcting writing anomalies
Researchers have developed a method to automatically correct writing anomalies in Hausa texts, such as character substitutions and spacing errors, which often impede natural language processing applications. They create…