Sciweavers

18 search results - page 1 / 4
» Combining Word-Level and Character-Level Models for Machine ...
Sort
View
ACL
2012
12 years 1 months ago
Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages
We propose several techniques for improving statistical machine translation between closely-related languages with scarce resources. We use character-level translation trained on ...
Preslav Nakov, Jörg Tiedemann
ACL
2007
14 years 10 days ago
Improved Word-Level System Combination for Machine Translation
Recently, confusion network decoding has been applied in machine translation system combination. Due to errors in the hypothesis alignment, decoding may result in ungrammatical co...
Antti-Veikko I. Rosti, Spyridon Matsoukas, Richard...
FLAIRS
2008
13 years 12 months ago
A Hybrid Machine Translation System for Typologically Related Languages
This paper describes a shallow parsing formalism aiming at machine translation between closely related languages. The formalism allows to write grammar rules helping to (partially...
Petr Homola, Vladislav Kubon
IJCNN
2007
IEEE
14 years 5 months ago
Philosophical Aspects of Neural, Probabilistic and Fuzzy Modeling of Language Use and Translation
— Serious efforts to develop computerized systems for natural language understanding and machine translation have taken place for more than half a century. Some successful system...
Timo Honkela
EMNLP
2009
13 years 8 months ago
Lattice-based System Combination for Statistical Machine Translation
Current system combination methods usually use confusion networks to find consensus translations among different systems. Requiring one-to-one mappings between the words in candid...
Yang Feng, Yang Liu, Haitao Mi, Qun Liu, Yajuan L&...