Phrase-based finite state models

  • 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.

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Author:Jorge González, Francisco Casacuberta
Document Type:Conference Proceeding
Year of Completion:2008
Publishing Institution:Universität Potsdam
Release Date:2008/12/11
Organizational units:Extern / Extern
Dewey Decimal Classification:4 Sprache / 40 Sprache / 400 Sprache
Collections:Universität Potsdam / Tagungsbände/Proceedings (nicht forlaufend) / Finite-state methods and natural language processing : 6th International Workshop, FSMNLP 2007 / II Regular Papers
Licence (German):License LogoKeine Nutzungslizenz vergeben - es gilt das deutsche Urheberrecht
Notes extern:
The complete edition of the proceedings "Finite-state methods and natural language processing : 6th International Workshop, FSMNLP 2007 ; Revised Papers" is available:
URN urn:nbn:de:kobv:517-opus-23812