Tagging Icelandic text: an experiment with integrations and combinations of taggers.
We use integrations and combinations of taggers to improve the tagging accuracy of Icelandic text. The accuracy of the best performing integrated tagger, which consists of our linguistic rule-based tagger for initial disambiguation and a trigram tagger for full disambiguation, is 91.80%. Combining f...
| Publicado en: | Language Resources & Evaluation Vol. 40; no. 2; pp. 175 - 182 |
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| Formato: | Report |
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Springer Nature
May2006
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| 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=24151662&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 24151662 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: May2006 vid: 40 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 24151662 10.1007/s10579-006-9013-5 ppf: 175 ppct: 7 formats: fmt: @attributes: type: P size: 129KB tig: atl: Tagging Icelandic text: an experiment with integrations and combinations of taggers. aug: au: Loftsson, Hrafn affil: Department of Computer Science, University of Sheffield, 211 Regent Court, Portobello Street, S1 4DP Sheffield, UK. su: Icelandic literature Linguistics Voting Error Language & languages sug: subj: Icelandic literature Linguistics Voting Error Language & languages keyword: Combination of taggers Integration of taggers Linguistically motivated rules Simple voting Tagging accuracy ab: We use integrations and combinations of taggers to improve the tagging accuracy of Icelandic text. The accuracy of the best performing integrated tagger, which consists of our linguistic rule-based tagger for initial disambiguation and a trigram tagger for full disambiguation, is 91.80%. Combining five different taggers, using simple voting, results in 93.34% accuracy. By adding two linguistically motivated rules to the combined tagger, we obtain an accuracy of 93.48%. This method reduces the error rate by 20.5%, with respect to the best performing tagger in the combination pool. pubtype: Academic Journal doctype: Report src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2006. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2006 holdings: @attributes: islocal: N |
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