Class-based n-gram models of natural language
Computational Linguistics
Statistical methods for speech recognition
Statistical methods for speech recognition
Mobile devices: soft keyboard text-entry enhanced by Visual Cues
UbiMob '04 Proceedings of the 1st French-speaking conference on Mobility and ubiquity computing
Using visual cues to help text entry on PDAs
IHM 2003 Proceedings of the 15th French-speaking conference on human-computer interaction on 15eme Conference Francophone sur l'Interaction Homme-Machine
Improving text entry performance for Spanish-speaking non-expert and impaired users
CLIHC '05 Proceedings of the 2005 Latin American conference on Human-computer interaction
A powerful pseudo-syllabic text entry paradigm
International Journal of Human-Computer Studies
Analysing performance in a word prediction system with multiple prediction methods
Computer Speech and Language
Exploiting long distance collocational relations in predictive typing
TextEntry '03 Proceedings of the 2003 EACL Workshop on Language Modeling for Text Entry Methods
Testing the efficacy of part-of-speech information in word completion
TextEntry '03 Proceedings of the 2003 EACL Workshop on Language Modeling for Text Entry Methods
Predictive text entry using syntax and semantics
IWPT '09 Proceedings of the 11th International Conference on Parsing Technologies
Enhancing digital inclusion with an English pseudo-syllabic keyboard
USAB'10 Proceedings of the 6th international conference on HCI in work and learning, life and leisure: workgroup human-computer interaction and usability engineering
The effect of domain and text type on text prediction quality
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
| Hi-index | 0.00 |
Communication and information exchange is a vital factor in human society. Communication disorders severely influence the quality of life. Whereas experienced typists will produce some 300 keystrokes per minute, persons with motor impairments achieve only much lower rates. Predictive typing systems for English speaking areas have proven useful andefficien t, but for all other European languages there exist no predictive typing programs powerful enough to substantially improve the communication rate andthe IT access for disabledp ersons. FASTY aims at offering a communication support system significantly increasing typing speed, adaptable to users with different language and strongly varying needs. In this way the large group of non-English-speaking disabled citizens will be supported in living a more independent and self determined life.