Statistical machine translation tools developed at Cambridge University are now available at http://ucam-smt.github.io/ .
This is an initial release, featuring: - HiFST -- Hierarchical phrase-based statistical machine translation based on the Google OpenFst Toolkit http://openfst.org - Direct production of translation lattices as Weighted Finite State Automata - Efficient WFSA rescoring procedures - OpenFst wrappers for direct inclusion of KenLM and ARPA language models as WFSAs - Lattice Minimum Error Rate Training - Lattice Minimum Bayes Risk decoding - Recursive Transition Networks and Pushdown Automata - Client/Server mode - WFSA true-casing - and much more A tutorial (http://ucam-smt.github.io/tutorial) based on the Cambridge 2013 WMT Russian-English system is also included To get the toolkit: - https://github.com/ucam-smt/ucam-smt/archive/master.zip - git clone https://github.com/ucam-smt/ucam-smt.git -- Bill Byrne University of Cambridge http://mi.eng.cam.ac.uk/~wjb31 _______________________________________________ Mt-list site list [email protected] http://lists.eamt.org/mailman/listinfo/mt-list
