This paper introduces mNCD, a method for automatic evaluation of machine translations. The measure is based on normalized compression distance (NCD), a general information theoret...
We present a machine learning approach to evaluating the wellformedness of output of a machine translation system, using classifiers that learn to distinguish human reference tran...
Simon Corston-Oliver, Michael Gamon, Chris Brocket...
Abstract. Lay people discussing machine translation systems often perform a round trip translation, that is translating a text into a foreign language and back, to measure the qual...
Abstract--A Web-based system for human evaluation of machine translation is presented in this paper. The system is based on comprehension tests similar to the ones used in Polish m...
We present a comparative evaluation of two data-driven models used in translation selection of English-Korean machine translation. Latent semantic analysis(LSA) and probabilistic ...