Sciweavers

Share
61 search results - page 1 / 13
» Forest-to-String Statistical Translation Rules
Sort
View
EMNLP
2009
9 years 11 months ago
Fast Translation Rule Matching for Syntax-based Statistical Machine Translation
In a linguistically-motivated syntax-based translation system, the entire translation process is normally carried out in two steps, translation rule matching and target sentence d...
Hui Zhang, Min Zhang, Haizhou Li, Chew Lim Tan
CICLING
2010
Springer
10 years 5 months ago
A Maximum Entropy Approach to Syntactic Translation Rule Filtering
In this paper we will present a maximum entropy filter for the translation rules of a statistical machine translation system based on tree transducers. This filter can be success...
Marcin Junczys-Dowmunt
ACL
1998
10 years 2 months ago
Improving Statistical Natural Language Translation with Categories and Rules
This paper describes an all level approach on statistical natural language translation (SNLT). Without any predefined knowledge the system learns a statistical translation lexicon...
Franz Josef Och, Hans Weber
ACL
2007
10 years 2 months ago
Forest-to-String Statistical Translation Rules
In this paper, we propose forest-to-string rules to enhance the expressive power of tree-to-string translation models. A forestto-string rule is capable of capturing nonsyntactic ...
Yang Liu, Yun Huang, Qun Liu, Shouxun Lin
COLING
2008
10 years 2 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
books