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dc.contributor.authorMohaghegh, Mahsa
dc.date.accessioned2013-06-28T01:31:27Z
dc.date.available2013-06-28T01:31:27Z
dc.date.issued2010
dc.identifier.urihttps://hdl.handle.net/10652/2225
dc.description.abstractStatistical Machine Translation has successfully been used for translation between many language pairs contributing to its popularity in recent years. It has however not been used for the English/Persian language pair. This paper presents the first such attempt and describes the problems faced in creating a corpus and building a base line system. Our experience with the construction of a parallel corpus during this ongoing study and the problems encountered especially with the process of alignment are discussed in this paper. The prototype constructed and its evaluation using the BiLingual Evaluation Understudy (BLEU) is briefly described and results are analyzed. In the final part of the paper, conclusions are drawn and work planned for the future is discussed.en_NZ
dc.language.isoenen_NZ
dc.subjectstatistical machine translation (SMT)en_NZ
dc.subjectBi-lingual Corporaen_NZ
dc.subjectMosesen_NZ
dc.subjectWeb 2.0en_NZ
dc.titleA Statistical Approach to English-Persian Machine Translationen_NZ
dc.typeConference Contribution - Paper in Published Proceedingsen_NZ
dc.rights.holderAuthoren_NZ
dc.subject.marsden089999 Information and Computing Sciences not elsewhere classifieden_NZ
dc.identifier.bibliographicCitationMohaghegh, M. (2010). A Statistical Approach to English-Persian Machine Translation. Proceedings of NZCSRSC New Zealand Computer Science Research Student Conference. Wellington, New Zealand, 12-15 April.en_NZ
unitec.institutionUnitec Institute of Technologyen_NZ
unitec.conference.titleNZCSRSC New Zealand Computer Science Research Student Conferenceen_NZ
unitec.peerreviewedyesen_NZ
unitec.identifier.roms52001


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