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Naslov:Parse tree based machine translation for less-used languages
Avtorji:Vičič, Jernej (Avtor)
Brodnik, Andrej (Avtor)
Datoteke:URL http://mrvar.fdv.uni-lj.si/pub/mz/mz5.1/vicic.pdf
 
Jezik:Angleški jezik
Vrsta gradiva:Delo ni kategorizirano
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FHŠ - Fakulteta za humanistične študije
Opis:The article describes a method that enhances translation performance of language pairs with a less used source language and a widely used target language. We propose a method that enables the use of parse tree based statistical translation algorithms for language pairs with a less used source language and a widely used target language. Automatic part of speech (POS) tagging algorithms have become accurate to the extent of efficient use in many tasks. Most of these methods are quite easily implementable in most world languages. The method is divided in two parts; the first part constructs alignments between POS tags of source sentences and induced parse trees of target language. The second part searches through trained data and selects the best candidates for target sentences, the translations. The method was not fully implemented due to time constraints; the training part was implemented and incorporated into a functional translation system; the inclusion of a word alignment model into the translation part was not implemented. The empirical evaluation addressing the quality of trained data was carried out on a full implementation of the presented training algorithms and the results confirm the employability of the method.
Ključne besede:machine translation, parse tree
Leto izida:2008
Št. strani:str. 65-81
Številčenje:Vol. 5, no. 1
ISSN:1854-0023
UDK:004.8
COBISS_ID:2818007 Povezava se odpre v novem oknu
Število ogledov:2966
Število prenosov:27
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
Področja:Gradivo ni uvrščeno v področja.
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Skupna ocena:(0 glasov)
Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
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