The Impact of Multiple Parallel Phrase Suggestions on Email Input and Composition Behaviour of Native and Non-Native English Writers-Reference-Cited by-同舟云学术

The Impact of Multiple Parallel Phrase Suggestions on Email Input and Composition Behaviour of Native and Non-Native English Writers

Published:2021-05-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
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Author:

Buschek Daniel¹,Zürn Martin²,Eiband Malin²

Affiliation:

1. Department of Computer Science, University of Bayreuth, Bayreuth, Germany

2. LMU Munich, Germany

Funder

Bavarian State Ministry of Science and the Arts

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3411764.3445372

Reference73 articles.

1. Learning New Words and Spelling with Autocorrections

2. Kenneth C. Arnold Kai-Wei Chang and Adam T. Kalai. 2017. Counterfactual Language Model Adaptation for Suggesting Phrases. arxiv:1710.01799 [cs.CL] Kenneth C. Arnold Kai-Wei Chang and Adam T. Kalai. 2017. Counterfactual Language Model Adaptation for Suggesting Phrases. arxiv:1710.01799 [cs.CL]

3. Predictive text encourages predictable writing

4. On Suggesting Phrases vs. Predicting Words for Mobile Text Composition

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