@inproceedings{GonzalezCasacuberta2008,
  author    = {Gonz{\´a}lez, Jorge and Casacuberta, Francisco},
  title     = {Phrase-based finite state models},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-27209},
  year      = {2008},
  abstract  = {In the last years, statistical machine translation has already demonstrated its usefulness within a wide variety of translation applications. In this line, phrase-based alignment models have become the reference to follow in order to build competitive systems. Finite state models are always an interesting framework because there are well-known efficient algorithms for their representation and manipulation. This document is a contribution to the evolution of finite state models towards a phrase-based approach. The inference of stochastic transducers that are based on bilingual phrases is carefully analysed from a finite state point of view. Indeed, the algorithmic phenomena that have to be taken into account in order to deal with such phrase-based finite state models when in decoding time are also in-depth detailed.},
  language  = {en}
}