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COLING
2008
13 years 6 months ago
Improving Statistical Machine Translation using Lexicalized Rule Selection
This paper proposes a novel lexicalized approach for rule selection for syntax-based statistical machine translation (SMT). We build maximum entropy (MaxEnt) models which combine ...
Zhongjun He, Qun Liu, Shouxun Lin
CICLING
2009
Springer
14 years 5 months ago
Enriching Statistical Translation Models Using a Domain-Independent Multilingual Lexical Knowledge Base
This paper presents a method for improving phrase-based Statistical Machine Translation systems by enriching the original translation model with information derived from a multilin...
Miguel García, Jesús Giménez,...
EMNLP
2008
13 years 6 months ago
Maximum Entropy based Rule Selection Model for Syntax-based Statistical Machine Translation
This paper proposes a novel maximum entropy based rule selection (MERS) model for syntax-based statistical machine translation (SMT). The MERS model combines local contextual info...
Qun Liu, Zhongjun He, Yang Liu, Shouxun Lin
ANLP
1997
111views more  ANLP 1997»
13 years 5 months ago
An Improvement in the Selection Process of Machine Translation Using Inductive Learning with Genetic Algorithms
We proposed a method of machine translation using inductive learning with genetic algorithms, and confirmed the effectiveness of applying genetic algorithms. However, the system b...
Hiroshi Echizen-ya, Kenji Araki, Yoshikazu Miyanag...
EMNLP
2007
13 years 6 months ago
Improving Statistical Machine Translation Using Word Sense Disambiguation
We show for the first time that incorporating the predictions of a word sense disambiguation system within a typical phrase-based statistical machine translation (SMT) model cons...
Marine Carpuat, Dekai Wu