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» Discriminative Modeling of Extraction Sets for Machine Trans...
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EMNLP
2009
13 years 7 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&...
ACL
2004
13 years 10 months ago
Aligning words using matrix factorisation
Aligning words from sentences which are mutual translations is an important problem in different settings, such as bilingual terminology extraction, Machine Translation, or projec...
Cyril Goutte, Kenji Yamada, Éric Gaussier
EMNLP
2008
13 years 10 months ago
Forest-based Translation Rule Extraction
Translation rule extraction is a fundamental problem in machine translation, especially for linguistically syntax-based systems that need parse trees from either or both sides of ...
Haitao Mi, Liang Huang
EMNLP
2007
13 years 10 months ago
What Can Syntax-Based MT Learn from Phrase-Based MT?
We compare and contrast the strengths and weaknesses of a syntax-based machine translation model with a phrase-based machine translation model on several levels. We briefly descr...
Steve DeNeefe, Kevin Knight, Wei Wang 0006, Daniel...
NAACL
2010
13 years 7 months ago
Model Combination for Machine Translation
Machine translation benefits from two types of decoding techniques: consensus decoding over multiple hypotheses under a single model and system combination over hypotheses from di...
John DeNero, Shankar Kumar, Ciprian Chelba, Franz ...