Lightly-Supervised Training for Hierarchical Phrase-Based Machine Translation

by Matthias Huck , David Vilar , Daniel Stein , Hermann Ney
Citations:2 - 2 self

Active Bibliography

1 A Performance Study of Cube Pruning for Large-Scale Hierarchical Machine Translation – Matthias Huck, David Vilar, Markus Freitag, Hermann Ney
A Phrase Orientation Model for Hierarchical Machine Translation – Matthias Huck, Joern Wuebker, Felix Rietig, Hermann Ney
4 The RWTH Aachen Machine Translation System for WMT 2010 – Joern Wuebker, Matthias Huck, Saab Mansour, Markus Freitag, Minwei Feng, Stephan Peitz, Christoph Schmidt, Hermann Ney - 2010
20 Jane: Open Source Hierarchical Translation, Extended with Reordering and Lexicon Models – David Vilar, Daniel Stein, Matthias Huck, Hermann Ney, Lehrstuhl Für Informatik
Lattice Rescoring Methods for Statistical Machine Translation – Graeme Blackwood
4 Lexicon Models for Hierarchical Phrase-Based Machine Translation – Matthias Huck, Saab Mansour, Simon Wiesler, Hermann Ney
4 Kriya – An end-to-end Hierarchical Phrase-based MT System – Baskaran Sankaran, Majid Razmara, Anoop Sarkar - 2012
5 Discriminative reordering extensions for hierarchical phrase-based machine translation – Matthias Huck, Stephan Peitz, Markus Freitag, Hermann Ney - 2012
Forced Derivations for Hierarchical Machine Translation – unknown authors
Forced Derivations for Hierarchical Machine Translation – unknown authors
6 A Guide to Jane, an Open Source Hierarchical Translation Toolkit – Daniel Stein, David Vilar, Stephan Peitz, Markus Freitag, Matthias Huck, Hermann Ney - 2011
27 Hierarchical phrase-based translation with weighted finite state transducers and . . . – Adria de Gispert, Gonzalo Iglesias, Graeme Blackwood, Eduardo R. Banga, William Byrne - 2010
6 A Comparison of Various Types of Extended Lexicon Models for Statistical Machine Translation – Matthias Huck, Martin Ratajczak, Patrick Lehnen, Hermann Ney, Lehrstuhl Für Informatik - 2010
In Language and Information Technologies – Kenneth Heafield - 2013
5 Investigations on Translation Model Adaptation Using Monolingual Data – Patrik Lambert, Holger Schwenk, Christophe Servan, Sadaf Abdul-rauf
1 Insertion and Deletion Models for Statistical Machine Translation – Matthias Huck, Hermann Ney
1 The RWTH Aachen System for NTCIR-10 PatentMT – Minwei Feng, Markus Freitag, Christoph Schmidt, Hermann Ney, Joern Wuebker - 2013
Pivot Lightly-Supervised Training for Statistical Machine Translation – Matthias Huck, Hermann Ney
Tonio Wandmacher, – Markus Freitag, Gregor Leusch, Joern Wuebker, Stephan Peitz, Hermann Ney, Alex Waibel, Alexandre Allauzen, Jean Senellart