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EMNLP
2011
12 years 5 months ago
Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
Ashish Venugopal, Jakob Uszkoreit, David Talbot, F...
ISCA
2006
IEEE
131views Hardware» more  ISCA 2006»
13 years 11 months ago
Reducing Startup Time in Co-Designed Virtual Machines
A Co-Designed Virtual Machine allows designers to implement a processor via a combination of hardware and software. Dynamic binary translation converts code written for a conventi...
Shiliang Hu, James E. Smith
CICLING
2008
Springer
13 years 7 months ago
A Probabilistic Model for Guessing Base Forms of New Words by Analogy
Language software applications encounter new words, e.g., acronyms, technical terminology, loan words, names or compounds of such words. Looking at English, one might assume that t...
Krister Lindén
MT
2006
106views more  MT 2006»
13 years 5 months ago
Example-based machine translation based on tree-string correspondence and statistical generation
Abstract. This paper describes an example-based machine translation (EBMT) method based on tree-string correspondence (TSC) and statistical generation. In this method, the translat...
Zhan-yi Liu, Haifeng Wang, Hua Wu
IALP
2010
13 years 3 days ago
Hierarchical Pitman-Yor Language Model for Machine Translation
The hierarchical Pitman-Yor process-based smoothing method applied to language model was proposed by Goldwater and by Teh; the performance of this smoothing method is shown compara...
Tsuyoshi Okita, Andy Way