IBM Model 2

AbstractThe increasing interest in the statistical approach to Machine Translation is due to the development of effective algorithms for training the probabilistic models proposed so far. However, one of the …...

Mixture modelling is a standard pattern classification technique. However, in statistical machine translation, the use of mixture modelling is still un- explored. Two main advantages of the mixture approach are …...

The IBM translation models have been hugely influential in statistical machine translation; they are the basis of the alignment models used in modern translation systems. Exclud- ing IBM Model 1, …...

We present a simple log-linear reparame- terization of IBM Model 2 that overcomes problems arising from Model 1’s strong assumptions and Model 2’s overparame- terization. Efficient inference, likelihood evaluation, and …...

This paper describes the Yandex School of Data Analysis Russian-English system submitted to the ACL 2014 Ninth Work- shop on Statistical Machine Translation shared translation task. We start with the …...

fast align is a simple, fast, and effi- cient approach for word alignment based on the IBM model 2. fast align per- forms well for language pairs with rel- atively …...

Among the alignment models used in statis- tical machine translation (SMT), the hidden Markov model (HMM) is arguably the most elegant: it performs consistently better than IBM Model 3 and …...