A word predictor for inflected languages: system design and user-centric interface

  • Authors:
  • Carlo Aliprandi;Nicola Carmignani;Paolo Mancarella;Michele Rubino

  • Affiliations:
  • Synthema Srl, Pisa, Italy;University of Pisa, Italy;University of Pisa, Italy;University of Pisa, Italy

  • Venue:
  • IASTED-HCI '07 Proceedings of the Second IASTED International Conference on Human Computer Interaction
  • Year:
  • 2007

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Abstract

We present FastType, a word prediction system for the Italian inflected language, and its user-centric interface. Fast-Type has greatly evolved from its original features. We have added new linguistic resources, implemented more effecient prediction algorithms and made a brand-new user interface. Thanks to the prediction engine upgrades, like the generation of word and Part-of-Speech n-gram collections, and to the introduction of a linear combination algorithm, performances are greatly improved. Keystroke Saving reached 48% and is now comparable to the one achieved with state-of-the-art methods for non-inflected languages. DonKey, the new human-computer interface, allows the user to benefit from automatic word completion in any application. FastType is primarily designed for users with special needs and to reduce misspellings for users with linguistic difficulties.