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.
Author details: | Jorge González, Francisco Casacuberta |
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URN: | urn:nbn:de:kobv:517-opus-27209 |
Publication type: | Conference Proceeding |
Language: | English |
Publication year: | 2008 |
Publishing institution: | Universität Potsdam |
Release date: | 2008/12/11 |
Organizational units: | Extern / Extern |
DDC classification: | 4 Sprache / 40 Sprache / 400 Sprache |
Collection(s): | Universität Potsdam / Tagungsbände/Proceedings (nicht fortlaufend) / Finite-state methods and natural language processing : 6th International Workshop, FSMNLP 2007 / II Regular Papers |
License (German): | ![]() |
External remark: | 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 |