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» Combining Outputs from Multiple Machine Translation Systems
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ML
2010
ACM
135views Machine Learning» more  ML 2010»
14 years 4 months ago
Multi-domain learning by confidence-weighted parameter combination
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Mark Dredze, Alex Kulesza, Koby Crammer
90
Voted
CSCW
2006
ACM
15 years 3 months ago
Effects of machine translation on collaborative work
Even though multilingual communities that use machine translation to overcome language barriers are increasing, we still lack a complete understanding of how machine translation a...
Naomi Yamashita, Toru Ishida
66
Voted
ICC
2007
IEEE
15 years 4 months ago
Maximal Ratio Combining in Cellular MIMO-CDMA Downlink Systems
——In this paper, we first analyze the performance of Maximal Ratio Combining (MRC) scheme for Multiple input multiple output (MIMO) in an interference-limited CDMA cellular sy...
Jing Ma, Yingjun Zhang, Xin Su, Yan Yao
WOSS
2004
ACM
15 years 3 months ago
Instrumentation in software dynamic translators for self-managed systems
Self-managed software requires monitoring and code changes to an executing program. One technology that enables such self management is software dynamic translation (SDT), which a...
Naveen Kumar, Jonathan Misurda, Bruce R. Childers,...
INLG
2010
Springer
14 years 7 months ago
Paraphrase Generation as Monolingual Translation: Data and Evaluation
In this paper we investigate the automatic generation and evaluation of sentential paraphrases. We describe a method for generating sentential paraphrases by using a large aligned...
Sander Wubben, Antal van den Bosch, Emiel Krahmer