We present a series of models for doing statistical machine translation based on labeled
semantic dependency graphs. We describe how these models were employed to augment …

This study presents a new hybrid approach for translation equivalent selection within a
transfer-based machine translation system using an intertwined net of traditional linguistic …

Towards Effective Use of Training Data in Statistical Machine Translation Page 1 Proceedings
of the 7th Workshop on Statistical Machine Translation, pages 317–321, Montréal, Canada …

This paper proposes a method for integrating example-based and rule-based machine
translation systems with statistical methods. It extends a greedy decoder for statistical …

Based on an architecture that allows to combine statistical machine translation (SMT) with
rule-based machine translation (RBMT) in a multi-engine setup, we present new results that …

We describe a substitution-based system for hybrid machine translation (MT) that has been
extended with machine learning components controlling its phrase selection. The approach …

Recent developments on hybrid systems that combine rule-based machine translation
(RBMT) systems with statistical machine translation (SMT) generally neglect the fact that …

Statistical Machine Translation is the general term for the various data-driven methods that
apply statistical models as the core mechanism to automatically translating from one …

Introduction lt. is accept. ed that the main paradigmatic approaches to\IT-transfer. interlingua.
and statistical-do not at present produce the quality of translation reqnired. There have …

This paper describes the German-English translation system developed by the ARK
research group at Carnegie Mellon University for the Sixth Workshop on Machine …