3 papers
cs.CL2026
RespondeoQA: a Benchmark for Bilingual Latin-English Question Answering
Marisa Hudspeth, Patrick J. Burns, Brendan O'Connor
We introduce a benchmark dataset for question answering and translation in bilingual Latin and English settings, containing about 7,800 question-answer pairs. The questions are dra…
cs.CL2025
Contextual morphologically-guided tokenization for Latin encoder models
Marisa Hudspeth, Patrick J. Burns, Brendan O'Connor
Tokenization is a critical component of language model pretraining, yet standard tokenization methods often prioritize information-theoretical goals like high compression and low f…
cs.CL2025
Evaluating Morphological Alignment of Tokenizers in 70 Languages
Catherine Arnett, Marisa Hudspeth, Brendan O'Connor
While tokenization is a key step in language modeling, with effects on model training and performance, it remains unclear how to effectively evaluate tokenizer quality. One propose…