Abstract
Moses is a well-known representative of the phrase-based statistical machine translation systems family, which are known to be extremely poor in explicit linguistic knowledge, operating on flat language representations, consisting only of tokens and phrases. Treex, on the other hand, is a highly linguistically motivated NLP toolkit, operating on several layers of language representation, rich in linguistic annotations.
Its main application is TectoMT, a hybrid machine translation system with deep syntax transfer. We review a large number of machine translation systems that have been built over the past years by combining Moses and Treex/TectoMT in various ways.