Sisay Fissaha Adafre: Adding Amharic to a unification-based machine translation system – an experiment

A Hybrid Machine Translation System Based on a Monotone Decoder

In this paper, a hybrid Machine Translation (MT) system is proposed by combining the result of a rule-based machine translation (RBMT) system with a statistical approach. The RBMT uses a set of linguistic rules for translation, which leads to better translation results in terms of word ordering and syntactic structure. On the other hand, SMT works better in lexical choice. Therefore, in our sys...

Reversible Unification Based Machine Translation

[n this paper it will be shown how unification g rammars can be used to build a reversible machine t ranslat ion system. Unification g rammars are often used to define the relation between strings and meaning representat ions in a declara t ive way. Such grammars are somet imes used in a bidirecLional way, thus the same grammar is used for both parsing and generation, in this paper 1 will show ...

Statistical Machine Translation Adding Rule-based Machine Translation

Unification-based Constraints for Statistical Machine Translation

Morphology and syntax have both received attention in statistical machine translation research, but they are usually treated independently and the historical emphasis on translation into English has meant that many morphosyntactic issues remain underresearched. Languages with richer morphologies pose additional problems and conventional approaches tend to perform poorly when either source or ta...

An Experiment in Machine Translation