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.
Identifer | oai:union.ndltd.org:Potsdam/oai:kobv.de-opus-ubp:2720 |
Date | January 2008 |
Creators | González, Jorge, Casacuberta, Francisco |
Publisher | Universität Potsdam, Extern. Extern |
Source Sets | Potsdam University |
Language | English |
Detected Language | English |
Type | InProceedings |
Format | application/pdf |
Rights | http://opus.kobv.de/ubp/doku/urheberrecht.php |
Page generated in 0.0018 seconds