Filtering machine translation results with automatically constructed concept lattices
Küçük Resim Yok
Tarih
2011
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
CEUR-WS
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Concept lattices can significantly improve machine translation systems when applied as filters to their results. We have developed a rule-based machine translator from Turkish to English in a unification-based programming paradigm and supplemented it with an automatically constructed concept lattice. The test results achieved by applying this translation system to a Turkish child story reveals that lattices used as filters to translation results have a promising potential to improve machine translation. We have compared our system with Google Translate on the data. The comparison suggests that a rule-based system can even compete with this statistical machine translation system that stands out with its wide range of users.
Açıklama
CNRS GDR I3;Institut National Polytechnique de Lorraine (INPL)
8th International Conference on Concept Lattices and Applications, CLA 2011 -- 17 October 2011 through 20 October 2011 -- -- 110667
8th International Conference on Concept Lattices and Applications, CLA 2011 -- 17 October 2011 through 20 October 2011 -- -- 110667
Anahtar Kelimeler
Concept Lattices; Evaluation Of Mt Systems; Rule-Based Machine Translation, Computational Linguistics; Computer Aided Language Translation; Information Analysis; Concept Lattices; Google Translate; Machine Translation Systems; Machine Translations; Programming Paradigms; Rule-Based Machine Translations; Statistical Machine Translation System; Translation Systems; Program Translators
Kaynak
CEUR Workshop Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
959
