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Naslov:Text analysis with sequence matching
Avtorji:ID Ferme, Marko (Avtor)
ID Ojsteršek, Milan (Avtor)
Datoteke:URL http://www.naun.org/journals/computers/20-234.pdf
 
Jezik:Angleški jezik
Vrsta gradiva:Neznano
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
Opis:This article describes some common problems faced in natural language processing. The main problem consist of a user given sentence, which has to be matched against an existing knowledge base, consisting of semantically described words or phrases. Some main problems in this process are outlined and the most common solutions used in natural language processing are overviewed. A sequence matching algorithm is introduced as an alternative solution and its advantages over the existing approaches are explained. The algorithm is explained in detail where the longest subsequences discovery algorithm is explained first. Then the major components of the similarity measure are defined and the computation of concurrence and dispersion measure is presented. Results of the algorithms performance on a test set are then shown and different implementations of algorithm usage are discussed. The work is concluded with some ideas for the future and some examples where our approach can be practically used.
Ključne besede:sequence matching, subsequence analysis, similarity measure, fuzzy string search, phrase detection
Leto izida:2011
PID:20.500.12556/DKUM-27308 Novo okno
UDK:004.77
COBISS.SI-ID:14857750 Novo okno
ISSN pri članku:1998-4308
NUK URN:URN:SI:UM:DK:QH2LMKKL
Datum objave v DKUM:01.06.2012
Število ogledov:2396
Število prenosov:66
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
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Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
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Gradivo je del revije

Naslov:International journal of computers
Skrajšan naslov:Int. j. comput.
Založnik:WSEAS
ISSN:1998-4308
COBISS.SI-ID:12331286 Novo okno

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