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» Semantic Evaluation of Machine Translation
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EMNLP
2008
13 years 9 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...
ACL
1998
13 years 8 months ago
Target Word Selection as Proximity in Semantic Space
Lexical selection is a significant problem for widecoverage machine translation: depending on the context, a given source language word can often be translated into different targ...
Scott McDonald
COLING
1996
13 years 8 months ago
Anaphora Resolution of Japanese Zero Pronouns with Deictic Reference
This paper proposes a method to resolve the reference of deictic Japanese zero pronouns which can be implemented in a practical machine translation system. This method focuses on ...
Hiromi Nakaiwa, Satoshi Shirai
ACL
2006
13 years 9 months ago
Chinese-English Term Translation Mining Based on Semantic Prediction
Using abundant Web resources to mine Chinese term translations can be applied in many fields such as reading/writing assistant, machine translation and crosslanguage information r...
Gaolin Fang, Hao Yu, Fumihito Nishino
ACL
2001
13 years 8 months ago
A Machine Learning Approach to the Automatic Evaluation of Machine Translation
We present a machine learning approach to evaluating the wellformedness of output of a machine translation system, using classifiers that learn to distinguish human reference tran...
Simon Corston-Oliver, Michael Gamon, Chris Brocket...