Add to ORKGIntroduce statistical machine translation (SMT) using as little math as possible (0 < |math | << boring) Bring to light the dark magic of parameter tuning-without which SMT doesn’t work- and its need for a special kind of data Show how I use SMT itself to “manufacture ” this special data and significantly improve final translation performance
Most state-of-the-art statistical machine translation systems use log-linear models, which are defin...
2014-07-28The goal of machine translation is to translate from one natural language into another usi...
Designers of SMT system have begun to experiment with tree-structured translation models. Unfortunat...
Research on statistical machine transla-tion has focused on particular translation directions, typic...
Machine translation can be considered a highly interdisciplinary and multidisciplinary field because...
Since its inception in the 1950s, and especially in the past 20 years, machine translation has made ...
There has been a proliferation of recent work on SMT tuning algorithms capable of han-dling larger f...
This book provides a unified view on a new methodology for Machine Translation (MT). This methodolog...
Statistical machine translation relies heavily on available parallel corpora, but SMT may not have t...
We describe an experiment in rapid development of a statistical machine translation (SMT) system fro...
We explore how the translation direction in the tuning set used for statistical machine translation ...
Modern Statistical Machine Translation (SMT) systems make their decisions based on multiple informat...
We study the impact of source length and verbosity of the tuning dataset on the per-formance of para...
Statistical machine translation (SMT) is an approach to Machine Translation (MT) that uses statistic...
Despite the growth of statistical machine translation (SMT) research and development in recent years...
Most state-of-the-art statistical machine translation systems use log-linear models, which are defin...
2014-07-28The goal of machine translation is to translate from one natural language into another usi...
Designers of SMT system have begun to experiment with tree-structured translation models. Unfortunat...
Research on statistical machine transla-tion has focused on particular translation directions, typic...
Machine translation can be considered a highly interdisciplinary and multidisciplinary field because...
Since its inception in the 1950s, and especially in the past 20 years, machine translation has made ...
There has been a proliferation of recent work on SMT tuning algorithms capable of han-dling larger f...
This book provides a unified view on a new methodology for Machine Translation (MT). This methodolog...
Statistical machine translation relies heavily on available parallel corpora, but SMT may not have t...
We describe an experiment in rapid development of a statistical machine translation (SMT) system fro...
We explore how the translation direction in the tuning set used for statistical machine translation ...
Modern Statistical Machine Translation (SMT) systems make their decisions based on multiple informat...
We study the impact of source length and verbosity of the tuning dataset on the per-formance of para...
Statistical machine translation (SMT) is an approach to Machine Translation (MT) that uses statistic...
Despite the growth of statistical machine translation (SMT) research and development in recent years...
Most state-of-the-art statistical machine translation systems use log-linear models, which are defin...
2014-07-28The goal of machine translation is to translate from one natural language into another usi...
Designers of SMT system have begun to experiment with tree-structured translation models. Unfortunat...