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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...
Files:
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
UDC:
004.93:811.163.6(043.2)
COBISS.SI-ID:
14305302
NUK URN:
URN:SI:UM:DK:YSIMUXFV
Publication date in DKUM:
21.06.2010
Views:
3793
Downloads:
276
Metadata:
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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