Improving mandarin predictive text input by augmenting pinyin initials with speech and tonal information

Author(s):  
Guangsen Wang ◽  
Bo Li ◽  
Shilin Liu ◽  
Xuancong Wang ◽  
Xiaoxuan Wang ◽  
...  
Keyword(s):  
2012 ◽  
Vol 55 ◽  
pp. e131-e132
Author(s):  
S. Pouplin ◽  
J. Robertson ◽  
J.-Y. Antoine ◽  
A. Blanchet ◽  
J.-L. Kahloun ◽  
...  

2011 ◽  
Vol 135-136 ◽  
pp. 944-949
Author(s):  
Ji Quan Yu ◽  
Wan Tao Qian ◽  
Xin Gang He

PAC(programmable automation controller) is a new trend of the industrial controller, but for now, most IDEs(integrated development environment) are still providing the PLC mode for users, which can not take full advantage of the PAC. Further more, in China, there is still not such IDE with complete intellectual properties for PACs designed by Chinese companies. For above purposes, the CHD-PACIDE was implemented which supported the ARM cortex-Mx series microcontrollers. This IDE consists of three layers, interface layer, data management layer and kernel layer, which managed functional modules respectively. Based on a C-like language Engineer C defined by our research team, the interface layer provided the structural graphical input mode and the text input mode for users to edit their code. The data management layer used the XML with specified format manage the flow of data. The kernel layer had two parts which were implemented in the IDE and the debug microcontroller stm8s, this layer can be used to debug user’s code through the Jtag port under the Coresight debugging structure of ARM. This IDE could be updated easily by adding the specific XML file for the new microcontroller used by the specific PAC.


2018 ◽  
Vol 38 (2) ◽  
pp. 207-224 ◽  
Author(s):  
Melanie Revilla ◽  
Mick P. Couper ◽  
Oriol J. Bosch ◽  
Marc Asensio

We implemented an experiment within a smartphone web survey to explore the feasibility of using voice input (VI) options. Based on device used, participants were randomly assigned to a treatment or control group. Respondents in the iPhone operating system (iOS) treatment group were asked to use the dictation button, in which the voice was translated automatically into text by the device. Respondents with Android devices were asked to use a VI button which recorded the voice and transmitted the audio file. Both control groups were asked to answer open-ended questions using standard text entry. We found that the use of VI still presents a number of challenges for respondents. Voice recording (Android) led to substantially higher nonresponse, whereas dictation (iOS) led to slightly higher nonresponse, relative to text input. However, completion time was significantly reduced using VI. Among those who provided an answer, when dictation was used, we found fewer valid answers and less information provided, whereas for voice recording, longer and more elaborated answers were obtained. Voice recording (Android) led to significantly lower survey evaluations, but not dictation (iOS).


Author(s):  
Petteri Nurmi ◽  
Andreas Forsblom ◽  
Patrik Floréen ◽  
Peter Peltonen ◽  
Petri Saarikko
Keyword(s):  

2016 ◽  
Vol 33 (2) ◽  
pp. 143-150 ◽  
Author(s):  
Colton J. Turner ◽  
Barbara S. Chaparro ◽  
Jibo He
Keyword(s):  

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