Benchmarking Sociolinguistic Diversity in Swahili NLP: A Taxonomy-Guided Approach
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arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866918127384657920 |
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| author | Oketch, Kezia Lalor, John P. Abbasi, Ahmed |
| author_facet | Oketch, Kezia Lalor, John P. Abbasi, Ahmed |
| contents | We introduce the first taxonomy-guided evaluation of Swahili NLP, addressing gaps in sociolinguistic diversity. Drawing on health-related psychometric tasks, we collect a dataset of 2,170 free-text responses from Kenyan speakers. The data exhibits tribal influences, urban vernacular, code-mixing, and loanwords. We develop a structured taxonomy and use it as a lens for examining model prediction errors across pre-trained and instruction-tuned language models. Our findings advance culturally grounded evaluation frameworks and highlight the role of sociolinguistic variation in shaping model performance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_14051 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Benchmarking Sociolinguistic Diversity in Swahili NLP: A Taxonomy-Guided Approach Oketch, Kezia Lalor, John P. Abbasi, Ahmed Computation and Language Computers and Society We introduce the first taxonomy-guided evaluation of Swahili NLP, addressing gaps in sociolinguistic diversity. Drawing on health-related psychometric tasks, we collect a dataset of 2,170 free-text responses from Kenyan speakers. The data exhibits tribal influences, urban vernacular, code-mixing, and loanwords. We develop a structured taxonomy and use it as a lens for examining model prediction errors across pre-trained and instruction-tuned language models. Our findings advance culturally grounded evaluation frameworks and highlight the role of sociolinguistic variation in shaping model performance. |
| title | Benchmarking Sociolinguistic Diversity in Swahili NLP: A Taxonomy-Guided Approach |
| topic | Computation and Language Computers and Society |
| url | https://arxiv.org/abs/2508.14051 |