Prediction and conversational momentum in an augmentative communication system
Communications of the ACM
Natural language understanding (2nd ed.)
Natural language understanding (2nd ed.)
Proceedings of the 2nd international conference on Intelligent user interfaces
XUXEN: a spelling checker/corrector for basque based on two-level morphology
ANLC '92 Proceedings of the third conference on Applied natural language processing
Modelling text prediction systems in low- and high-inflected languages
Computer Speech and Language
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Prediction is one of the techniques that has been applied to Augmentative and Alternative Communication to help people enhance the quality and quantity of the composed text in a time unit. Most of the literature has focused on word prediction methods that may easily be applied to non-inflected languages. However, for inflected languages, other approaches that mainly distinguish roots and suffixes may enhance the results (in terms of keystroke savings and hit ratio) of predictive systems. In this paper, we present the approaches we have applied to the Basque language (highly inflected) and the results they achieve with a particular text (that was not used while creating the initial lexicons the systems use for prediction). Starting from this evaluation, one of the presented approaches is suggested as being the best.