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Title:Izdelava oblikoslovnega označevalnika za slovenski jezik in primerjava z drugimi rešitvami
Authors:ID Hrovat, Goran (Author)
ID Ojsteršek, Milan (Mentor) More about this mentor... New window
Files:.pdf UNI_Hrovat_Goran_2010.pdf (1,68 MB)
MD5: 5D87E7199C7C416EE602153BE2309DF0
PID: 20.500.12556/dkum/6a49246f-cab7-412d-af10-3cdb0e17676e
 
Language:Slovenian
Work type:Undergraduate thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu smo se ukvarjali s področjem računalniško podprtega oblikoslovnega označevanja besedil v slovenskem jeziku. Najprej smo opisali napogostejše probleme, ki se pojavljajo. Nato smo opisali delovanje dveh odprtokodnih oblikoslovnih ozna čevalnikov: Stanford POS Tagger in TreeTagger. V praktičnem delu smo izdelali lastni oblikoslovni ozna čevalnik in prilagodili odprtokodna ozna čevalnika za procesiranje besedil v slovenskem jeziku. Učno mno žico je predstavljal korpus FidaPlus. Rezultate oblikoslovnega označevanja iz vseh treh označevalnikov smo med seboj primerjali.
Keywords:oblikoslovno označevanje, procesiranje naravnega jezika, NLP, naravni jezik, slovenski jezik, lematizacija
Place of publishing:Maribor
Publisher:[G. Hrovat]
Year of publishing:2010
PID:20.500.12556/DKUM-14271 New window
UDC:004.93:811.163.6(043.2)
COBISS.SI-ID:14305302 New window
NUK URN:URN:SI:UM:DK:YSIMUXFV
Publication date in DKUM:21.06.2010
Views:3793
Downloads:276
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:DEVELOPING A POS TAGGER FOR SLOVENIAN LANGUAGE AND COMPARING TO OTHER SOLUTIONS
Abstract:In this diploma work, we elaborated automatic POS tagging of Slovenian text. First of all, we presented common problems and described two open source POS taggers: Stanford POS tagger and TreeTagger. As a practical part, we developed our own POS tagger and adapted the tested open source taggers to work on Slovene text. We used FidaPlus corpus as a training set. Finally, we compared the results of all three POS taggers.
Keywords:POS tagging, part of speech, NLP, natural language, natural language processing, lemmatisation, slovenian language


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