10种语言文本录入实验中3种短语采样方法的系统比较

MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference) Pub Date : 2014-09-23 DOI:10.1145/2628363.2634229

Germán Sanchis-Trilles, Luis A. Leiva

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引用次数: 8

摘要

目前用于进行文本输入实验的参考数据集只有英文版本，这可能会导致在对非英语母语人士进行文本输入方法测试时产生误导性结果。我们比较了文献中可用的3种自动短语采样方法:Random、Ngram和MemRep。通过统计分析和定性观察，发现MemRep效果最好。这导致了10种主要语言的30个数据集的收集，我们希望通过本文与社区分享。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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.

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MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference)

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