Improving Word Prediction Using Markov Models and Heuristic Methods.
The goal of this project was to design and implement a new word predictor for Swedish that would suggest words that are more grammatically appropriate, thus presenting a lower cognitive load for users and saving significantly more keystrokes than the previous predictor. The new predictor that was de...
| Publicado en: | AAC: Augmentative & Alternative Communication Vol. 17; no. 4; pp. 255 - 265 |
|---|---|
| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Taylor & Francis Ltd
Dec2001
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=5566291&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 5566291 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 07434618 9OD jtl: AAC: Augmentative & Alternative Communication issn: 07434618 maglogo: Y pubinfo: dt: Dec2001 vid: 17 iid: 4 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 5566291 10.1080/714043389 ppf: 255 ppct: 10 formats: tig: atl: Improving Word Prediction Using Markov Models and Heuristic Methods. aug: au: Hunnicutt, Sheri Carlberger, Johan su: Linguistics Writing materials & instruments Markov processes Heuristic sug: subj: Linguistics Writing materials & instruments Markov processes Heuristic ab: The goal of this project was to design and implement a new word predictor for Swedish that would suggest words that are more grammatically appropriate, thus presenting a lower cognitive load for users and saving significantly more keystrokes than the previous predictor. The new predictor that was designed and developed uses a probabilistic language model based on the well-established ideas of the trigram predictor for speech recognition, developed by IBM. In tests, this program has been shown to result in keystroke savings of 46% given five predictions--a substantial saving compared with the 35% savings achieved with the previous predictor. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2001 holdings: @attributes: islocal: N |
|---|