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» Combining Outputs from Multiple Machine Translation Systems
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ACL
1998
14 years 11 months ago
Trainable, Scalable Summarization Using Robust NLP and Machine Learning
We describe a trainable and scalable summarization system which utilizes features derived from information retrieval, information extraction, and NLP techniques and on-line resour...
Chinatsu Aone, Mary Ellen Okurowski, James Gorlins...
ACL
2009
14 years 7 months ago
Joint Decoding with Multiple Translation Models
Current SMT systems usually decode with single translation models and cannot benefit from the strengths of other models in decoding phase. We instead propose joint decoding, a met...
Yang Liu, Haitao Mi, Yang Feng, Qun Liu
ISRR
2001
Springer
109views Robotics» more  ISRR 2001»
15 years 2 months ago
Probabilistic Adaptive Agent Based System for Dynamic State Estimation using Multiple Visual Cues
Most of current machine vision systems suffer from a lack of flexibility to account for the high variability of unstructured environments. Here, as the state of the world evolves ...
Alvaro Soto, Pradeep K. Khosla
62
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ACL
2008
14 years 11 months ago
Applying Morphology Generation Models to Machine Translation
We improve the quality of statistical machine translation (SMT) by applying models that predict word forms from their stems using extensive morphological and syntactic information...
Kristina Toutanova, Hisami Suzuki, Achim Ruopp
EMNLP
2009
14 years 7 months ago
Weighted Alignment Matrices for Statistical Machine Translation
Current statistical machine translation systems usually extract rules from bilingual corpora annotated with 1-best alignments. They are prone to learn noisy rules due to alignment...
Yang Liu, Tian Xia, Xinyan Xiao, Qun Liu