Corpus-based stochastic finite-state predictive text entry for reduce keyboards: application to catalan

• Autores: Mikel L. Forcada Zubizarreta
• Localización: Procesamiento del lenguaje natural, ISSN 1135-5948, Nº. 27, 2001 (Ejemplar dedicado a: XVII Congreso de la SEPLN: Sociedad Española para el Procesamiento del Lenguaje Natural: Universidad de Jaén, 12-14 septiembre 2001), págs. 65-70
• Idioma: inglés
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• Resumen

  • Users of digital mobile phones have access to an increasing number of text-based services but most of them can only use a very reduced keyword for text entry. Traditionally, this has been solved by means of multiple tapping and delays or next-character keys (e.g. 66(pause)666 for no), which is slow (two taps per letter on average), inconvenient, and prone to error. Recently, some mobile terminals offer dictionary-based predictive text-entry schemes which, in almost all cases, allow for one-tap-per-letter text entry (e.g. 367 for for). This paper shows how text corpora can be used to build stochastic finite-state automata which may in turn be easily used to implement predictive text entry for medium-sized languages such as Catalan, not currently supported by major predictive-text-entry companies.