Cross language Projection of Dependency Trees with Constrained Partial Parsing for Tree to Tree Machine Translation

We analyze our approach in an anno- tation projection framework for dependency trees, and show how dependency parsers from two different paradigms (graph-based and transition-based)

We propose an automatic cross-lingual similariza- tion algorithm for dependency grammars, design an automatic evaluation metric to measure the cross- lingual similarity

We demonstrate these properties and the merit of the alignment-based pars- ing approach by implementing several dependency parsing algorithms based on the IBM alignment models

DTED: Evaluation of Machine Translation Structure Using Dependency Parsing and Tree Edit Distance.. Martin McCaffery School of

In this paper, we present an approach as pre-processing step based on a dependency parser in phrase-based statistical machine translation (SMT) to learn automatic and