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EMNLP
2008
13 years 11 months ago
Indirect-HMM-based Hypothesis Alignment for Combining Outputs from Machine Translation Systems
This paper presents a new hypothesis alignment method for combining outputs of multiple machine translation (MT) systems. An indirect hidden Markov model (IHMM) is proposed to add...
Xiaodong He, Mei Yang, Jianfeng Gao, Patrick Nguye...
ITS
2004
Springer
124views Multimedia» more  ITS 2004»
14 years 3 months ago
Combining Competing Language Understanding Approaches in an Intelligent Tutoring System
When implementing a tutoring system that attempts a deep understanding of students’ natural language explanations, there are three basic approaches to choose between; symbolic, i...
Pamela W. Jordan, Maxim Makatchev, Kurt VanLehn
VTC
2007
IEEE
101views Communications» more  VTC 2007»
14 years 4 months ago
Soft Decoding Assisted Interference Cancellation in a Non-Binary LDPC Coded Fast Frequency Hopping Multiuser System Using Produc
— In this contribution, soft-input-soft-output (SISO) decoding aided successive interference cancellation (SIC) is considered in fast frequency hopping (FFH), M-ary frequency shi...
Sohail Ahmed, Lie-Liang Yang, Lajos Hanzo, Feng Gu...
ACL
2009
13 years 8 months ago
Incremental HMM Alignment for MT System Combination
Inspired by the incremental TER alignment, we re-designed the Indirect HMM (IHMM) alignment, which is one of the best hypothesis alignment methods for conventional MT system combi...
Chi-Ho Li, Xiaodong He, Yupeng Liu, Ning Xi
AAAI
2007
14 years 13 days ago
Detection of Multiple Deformable Objects using PCA-SIFT
In this paper, we address the problem of identifying and localizing multiple instances of highly deformable objects in real-time video data. We present an approach which uses PCA-...
Stefan Zickler, Alexei A. Efros