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RUP
FAMNIT - Faculty of Mathematics, Science and Information Technologies
FHŠ - Faculty of Humanities
FM - Faculty of Management
FTŠ Turistica - Turistica – College of Tourism Portorož
FVZ - Faculty of Health Sciences
IAM - Andrej Marušič Institute
PEF - Faculty of Education
UPR - University of Primorska
ZUP - University of Primorska Press
COBISS
University of Primorska, University Library - all departments
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Title:
Parse tree based machine translation for less-used languages
Authors:
ID
Vičič, Jernej
(Author)
ID
Brodnik, Andrej
(Author)
Files:
http://mrvar.fdv.uni-lj.si/pub/mz/mz5.1/vicic.pdf
Language:
English
Work type:
Not categorized
Typology:
1.01 - Original Scientific Article
Organization:
UPR - University of Primorska
Abstract:
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.
Keywords:
machine translation
,
parse tree
Year of publishing:
2008
Number of pages:
str. 65-81
Numbering:
Vol. 5, no. 1
PID:
20.500.12556/RUP-1825
ISSN:
1854-0023
UDC:
004.8
COBISS.SI-ID:
2818007
Publication date in RUP:
15.10.2013
Views:
7414
Downloads:
108
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