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131
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MT
2010
134views more  MT 2010»
14 years 11 months ago
Improve syntax-based translation using deep syntactic structures
This paper introduces deep syntactic structures to syntax-based Statistical Machine Translation (SMT). We use a Head-driven Phrase Structure Grammar (HPSG) parser to obtain the de...
Xianchao Wu, Takuya Matsuzaki, Jun-ichi Tsujii
92
Voted
TSD
2010
Springer
14 years 11 months ago
Towards an N-Version Dependency Parser
Abstract. Maltparser is a contemporary dependency parsing machine learningbased system that shows great accuracy. However 90% for Labelled Attachment Score (LAS) seems to be a de f...
Miguel Ballesteros, Jesús Herrera, Virginia...
ICDE
2009
IEEE
140views Database» more  ICDE 2009»
16 years 2 months ago
Predicting Multiple Metrics for Queries: Better Decisions Enabled by Machine Learning
One of the most challenging aspects of managing a very large data warehouse is identifying how queries will behave before they start executing. Yet knowing their performance charac...
Archana Ganapathi, Harumi A. Kuno, Umeshwar Dayal,...
120
Voted
RTSS
2007
IEEE
15 years 7 months ago
ANDES: An ANalysis-Based DEsign Tool for Wireless Sensor Networks
— We have developed an analysis-based design tool, ANDES, for modeling a wireless sensor network system and analyzing its performance before deployment. ANDES enables designers t...
Vibha Prasad, Ting Yan, Praveen Jayachandran, Zeng...
116
Voted
SENSYS
2006
ACM
15 years 6 months ago
ATPC: adaptive transmission power control for wireless sensor networks
Extensive empirical studies presented in this paper confirm that the quality of radio communication between low power sensor devices varies significantly with time and environme...
Shan Lin, Jingbin Zhang, Gang Zhou, Lin Gu, John A...