Publication at Faculty of Mathematics and Physics |
2010
Abstract
The paper describes in detail the exploitation of chart-based methods and data structures in a simple system for the machine translation between related languages. The multigraphs used for the representation of ambiguous partial results in various stages of the processing and a shallow syntactic chart parser enable a modification of a simplistic and straightforward architecture developed ten years ago for MT experiments between Slavic languages in the system Česílko.
The number of translation variants provided by the system inspired an addition of a stochastic ranker whose aim is to select the best translations according to a target language model.