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» Syntactic Re-Alignment Models for Machine Translation
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COLING
1992
13 years 8 months ago
Hierarchical Lexical Structure And Interpretive Mapping In Machine Translation
Large-scale knowledge-based machine translation requires significant amounts of lexical knowledge in order to map syntactic structures to conceptual structures. This paper present...
Teruko Mitamura, Eric Nyberg
EMNLP
2009
13 years 5 months ago
Feature-Rich Translation by Quasi-Synchronous Lattice Parsing
We present a machine translation framework that can incorporate arbitrary features of both input and output sentences. The core of the approach is a novel decoder based on lattice...
Kevin Gimpel, Noah A. Smith
EMNLP
2007
13 years 9 months ago
Phrase Reordering Model Integrating Syntactic Knowledge for SMT
Reordering model is important for the statistical machine translation (SMT). Current phrase-based SMT technologies are good at capturing local reordering but not global reordering...
Dongdong Zhang, Mu Li, Chi-Ho Li, Ming Zhou
COLING
2008
13 years 9 months ago
Linguistically Annotated BTG for Statistical Machine Translation
Bracketing Transduction Grammar (BTG) is a natural choice for effective integration of desired linguistic knowledge into statistical machine translation (SMT). In this paper, we p...
Deyi Xiong, Min Zhang, AiTi Aw, Haizhou Li
CICLING
2010
Springer
13 years 10 months ago
Systematic Processing of Long Sentences in Rule Based Portuguese-Chinese Machine Translation
The translation quality and parsing efficiency are often disappointed when Rule based Machine Translation systems deal with long sentences. Due to the complicated syntactic structu...
Francisco Oliveira, Fai Wong, Iok-Sai Hong