Miller, Tristan ; Wolf, Elisabeth (2006)
Word Completion with Latent Semantic Analysis.
doi: 10.1109/ICPR.2006.1191
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Current word completion tools rely mostly on statistical or syntactic knowledge. Can using semantic knowledge improve the completion task? We propose a language-independent word completion algorithm which uses latent semantic analysis (LSA) to model the semantic context of the word being typed. We find that a system using this algorithm alone achieves keystroke savings of 56% and a hit rate of 42%. This represents improvements of 6.9% and 17%, respectively, over existing approaches.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2006 |
| Autor(en): | Miller, Tristan ; Wolf, Elisabeth |
| Art des Eintrags: | Bibliographie |
| Titel: | Word Completion with Latent Semantic Analysis |
| Sprache: | Englisch |
| Publikationsjahr: | 2006 |
| Verlag: | IEEE Press |
| Buchtitel: | Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006) |
| DOI: | 10.1109/ICPR.2006.1191 |
| URL / URN: | https://dx.doi.org/10.1109/ICPR.2006.1191 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | Current word completion tools rely mostly on statistical or syntactic knowledge. Can using semantic knowledge improve the completion task? We propose a language-independent word completion algorithm which uses latent semantic analysis (LSA) to model the semantic context of the word being typed. We find that a system using this algorithm alone achieves keystroke savings of 56% and a hit rate of 42%. This represents improvements of 6.9% and 17%, respectively, over existing approaches. |
| ID-Nummer: | TUD-CS-2006-0391 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung |
| Hinterlegungsdatum: | 31 Dez 2016 14:29 |
| Letzte Änderung: | 23 Aug 2018 11:38 |
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