{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T05:17:58Z","timestamp":1740028678630,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"abstract":"<jats:p>In this article we studied the effect of using Sentence Prediction as a complementary technique to Word Prediction. A mean rate of 21.0 WPM and a maximum absolute rate of 43.4 WPM were obtained for the Sentence Prediction only condition. Combining Sentence Prediction with Word Prediction resulted in a mean rate of 18.8 WPM and a maximum absolute rate of 36.2 WPM. To measure system performance under more realistic conditions we also tested the use of Word and Sentence Prediction under different sentence knowledge conditions: 100%, 75%, 50%, 25%, 0%, and were obtained mean rates of 16.8, 14.6, 10.9, 8.6 and 8.2 WPM respectively. The conditions with less knowledge (25% and 0%) had results close to the Word Prediction only condition, around 8 WPM, which is an indicator that under low sentence re-use conditions it does not compromise user performance. Since Sentence Prediction also proved to have the potential to speed up message composition, we think this technique can be a valuable complement to Word Prediction in AAC systems.<\/jats:p>","DOI":"10.3233\/978-1-61499-304-9-326","type":"book-chapter","created":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T18:06:41Z","timestamp":1739988401000},"source":"Crossref","is-referenced-by-count":0,"title":["Word and Sentence Prediction: Using the Best of the Two Worlds to Assist AAC Users"],"prefix":"10.3233","author":[{"family":"Garcia Lu&iacute;s","sequence":"additional","affiliation":[]},{"family":"Oliveira Luis","sequence":"additional","affiliation":[]},{"family":"Matos David","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Assistive Technology Research Series","Assistive Technology: From Research to Practice"],"original-title":[],"deposited":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T18:34:12Z","timestamp":1739990052000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISSNISBN&issn=1383-813X&volume=33&spage=326"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-304-9-326","relation":{},"ISSN":["1383-813X"],"issn-type":[{"value":"1383-813X","type":"print"}],"subject":[],"published":{"date-parts":[[2013]]}}}