17 citations · 18 across the 7 of their papers we have counts for
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Tokenization Disparities as Infrastructure Bias: How Subword Systems Create Inequities in LLM Access and Efficiency
Hailay Kidu Teklehaymanot, Wolfgang Nejdl
Tokenization disparities pose a significant barrier to achieving equitable access to artificial intelligence across linguistically diverse populations. This study conducts a large-…
Low-Resource English-Tigrinya MT: Leveraging Multilingual Models, Custom Tokenizers, and Clean Evaluation Benchmarks
Hailay Kidu Teklehaymanot, Gebrearegawi Gidey, Wolfgang Nejdl
Despite advances in Neural Machine Translation (NMT), low-resource languages like Tigrinya remain underserved due to persistent challenges, including limited corpora, inadequate to…
MoVoC: Morphology-Aware Subword Construction for Geez Script Languages Corrected version
Hailay Kidu Teklehaymanot, Dren Fazlija, Wolfgang Nejdl
Subword-based tokenization methods often fail to preserve morphological boundaries, a limitation especially pronounced in low-resource, morphologically complex languages such as th…