MaTrEx: machine translation using examples
Stephen C. Armstrong, Marian Flanagan, Yvette Graham, Declan Groves, Bart Mellebeek, Sara Morrissey, Nicolas Stroppa, Andy Way · Arrow@dit (Dublin Institute of Technology) · 2006
Approach to EBMT based on the Marker Hypothesis"The Marker Hypothesis states that all natural languages have a closed set of specific words or morphemes which appear in a limited set of grammatical contexts and which signal that context."(Green, 1979).Universal psycholinguistic constraint: languages are marked for syntactic structure at surface level by closed set of lexemes or morphemes.The Dearborn Mich., energy company stopped paying a dividend in the third quarter of 1984 because of troubles at its Midland nuclear plant logo MaTrEx: Machine Translation Using Examples Example-Based Machine Translation Marker-Based EBMT Marker-Based EBMT Approach to EBMT based on the Marker Hypothesis"The Marker Hypothesis states that all natural languages have a closed set of specific words or morphemes which appear in a limited set of grammatical contexts and which signal that context."(Green, 1979). Chunk AlignmentFocused on chunk alignment for this task Discriminative Approach for chunk alignment "Edit-Distance" Chunk Alignment Dynamic programmingDistance metrics used