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    ACL
    2006
    118views Computational Linguistics» more  ACL 2006»
    An End-to-End Discriminative Approach to Machine Translation
    13 years 6 months ago
    An End-to-End Discriminative Approach to Machine Translation
    Download  www.seas.upenn.edu
    We present a perceptron-style discriminative approach to machine translation in which large feature sets can be exploited. Unlike discriminative reranking approaches, our system c...
    Percy Liang, Alexandre Bouchard-Côté,...
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    EMNLP
    2008
    140views Natural Language Processing» more  EMNLP 2008»
    Phrase Translation Probabilities with ITG Priors and Smoothing as Learning Objective
    13 years 6 months ago
    Phrase Translation Probabilities with ITG Priors and Smoothing as Learning Objective
    Download  staff.science.uva.nl
    The conditional phrase translation probabilities constitute the principal components of phrase-based machine translation systems. These probabilities are estimated using a heurist...
    Markos Mylonakis, Khalil Sima'an
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    EMNLP
    2008
    119views Natural Language Processing» more  EMNLP 2008»
    A Phrase-Based Alignment Model for Natural Language Inference
    13 years 6 months ago
    A Phrase-Based Alignment Model for Natural Language Inference
    Download  nlp.stanford.edu
    The alignment problem--establishing links between corresponding phrases in two related sentences--is as important in natural language inference (NLI) as it is in machine translati...
    Bill MacCartney, Michel Galley, Christopher D. Man...
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    EMNLP
    2007
    121views Natural Language Processing» more  EMNLP 2007»
    Syntactic Re-Alignment Models for Machine Translation
    13 years 6 months ago
    Syntactic Re-Alignment Models for Machine Translation
    Download  www.mt-archive.info
    We present a method for improving word alignment for statistical syntax-based machine translation that employs a syntactically informed alignment model closer to the translation m...
    Jonathan May, Kevin Knight
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    JUCS
    2006
    185views more  JUCS 2006»
    The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
    13 years 4 months ago
    The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
    Download  eprints.pascal-network.org
    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...
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