Kiliçaslan Y.Güner E.S.2024-06-122024-06-1220119.78291E+121613-0073https://hdl.handle.net/20.500.14551/17645CNRS 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 -- -- 110667Concept 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.eninfo:eu-repo/semantics/closedAccessConcept Lattices; Evaluation Of Mt Systems; Rule-Based Machine TranslationComputational 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 TranslatorsConference Object95959732-s2.0-84924200176N/A