5 citations · 17 across the 13 of their papers we have counts for
3 papers · 1 filter
Goldfish: Monolingual Language Models for 350 Languages
Tyler A. Chang, Catherine Arnett, Zhuowen Tu +1
For many low-resource languages, the only available language models are large multilingual models trained on many languages simultaneously. Despite state-of-the-art performance on…
Different Tokenization Schemes Lead to Comparable Performance in Spanish Number Agreement
Catherine Arnett, Pamela D. Rivière, Tyler A. Chang +1
The relationship between language model tokenization and performance is an open area of research. Here, we investigate how different tokenization schemes impact number agreement in…
A Bit of a Problem: Measurement Disparities in Dataset Sizes Across Languages
Catherine Arnett, Tyler A. Chang, Benjamin K. Bergen
How should text dataset sizes be compared across languages? Even for content-matched (parallel) corpora, UTF-8 encoded text can require a dramatically different number of bytes for…