A systematic comparison of 3 phrase sampling methods for text entry experiments in 10 languages

Abstract

Today's reference datasets for conducting text entry experiments are only available in English, which may lead to misleading results when testing text entry methods with non-native English speakers. We compared 3 automated phrase sampling methods available in the literature: Random, Ngram, and MemRep. It was found that MemRep performs best according to a statistical analysis and qualitative observations. This resulted in a collection of 30 datasets across 10 major languages, and we wish to share them with the community via this paper.