Long short term memory neural network for keyboard gesture decoding

By Ouais Alsharif, Tom Y. Ouyang, Franccoise Beaufays, Shumin Zhai, Thomas Breuel, Johan Schalkwyk. 2015

51 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Human-Computer Interaction

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Franccoise Beaufays
2. Rajiv Mathews
3. Ananda Theertha Suresh
4. Cyril Allauzen
5. Michael D. Riley
6. Mingqing Chen
7. Adeline Wong
8. Per Ola Kristensson

In Human-Computer Interaction

1. Shaon Ghosh
2. Franccoise Beaufays
3. Per Ola Kristensson
4. Jacob O. Wobbrock

Citations in the corpus

• Federated Learning of N-Gram Language Models (2019, background): “A key press should result in visible feedback within about 20 millisec-onds (Ouyang et al., 2017; Alsharif et al., 2015).”
• Neural Networks for Text Correction and Completion in Keyboard Decoding (2017, background): “correction due to the lack of available data; in particular dataset with enough noisy to correct mappings. Some work on recurrent deep learning networks have been applied to keyboard gesture decoding [29] over in-house collected data on Google keyboard that is not available openly. There has been si”
• Mobile Keyboard Input Decoding with Finite-State Transducers (2017, unknown): “Alternatively, a recurrent neural network model can be used [10].”