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» Predicting Success in Machine Translation
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JUCS
2006
185views more  JUCS 2006»
13 years 7 months ago
The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
Benjamin Blankertz, Guido Dornhege, Steven Lemm, M...
IALP
2010
13 years 2 months ago
Sentence Similarity-Based Source Context Modelling in PBSMT
Target phrase selection, a crucial component of the state-of-the-art phrase-based statistical machine translation (PBSMT) model, plays a key role in generating accurate translation...
Rejwanul Haque, Sudip Kumar Naskar, Andy Way, Mart...
COLING
2010
13 years 2 months ago
Hungarian Corpus of Light Verb Constructions
The precise identification of light verb constructions is crucial for the successful functioning of several NLP applications. In order to facilitate the development of an algorith...
Veronika Vincze, János Csirik
ASSETS
2005
ACM
13 years 9 months ago
Automating tactile graphics translation
Access to graphical images (bar charts, diagrams, line graphs, etc.) that are in a tactile form (representation through which content can be accessed by touch) is inadequate for s...
Richard E. Ladner, Melody Y. Ivory, Rajesh Rao, Sh...
BMCBI
2004
113views more  BMCBI 2004»
13 years 7 months ago
Oligo kernels for datamining on biological sequences: a case study on prokaryotic translation initiation sites
Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...
Peter Meinicke, Maike Tech, Burkhard Morgenstern, ...