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    BIOCOMP
    2006
    98views Bioinformatics» more  BIOCOMP 2006»
    Performance of Sequence Alignment Bioinformatics Applications on General Purpose Processors: A Case Study
    13 years 9 months ago
    Performance of Sequence Alignment Bioinformatics Applications on General Purpose Processors: A Case Study
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    - Aligning specific sequences against other known sequences in a database is a central aspect of bioinformatics. New experimental data being added continuously to these databases n...
    Pradeep Nair, Eugene John
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    LREC
    2010
    181views Education» more  LREC 2010»
    Linguistically Motivated Unsupervised Segmentation for Machine Translation
    13 years 9 months ago
    Linguistically Motivated Unsupervised Segmentation for Machine Translation
    Download  www.lrec-conf.org
    In this paper we use statistical machine translation and morphology information from two different morphological analyzers to try to improve translation quality by linguistically ...
    Mark Fishel, Harri Kirik
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    EMNLP
    2007
    110views Natural Language Processing» more  EMNLP 2007»
    Factored Translation Models
    13 years 9 months ago
    Factored Translation Models
    Download  www.iccs.inf.ed.ac.uk
    We present an extension of phrase-based statistical machine translation models that enables the straight-forward integration of additional annotation at the word-level — may it ...
    Philipp Koehn, Hieu Hoang
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    COLING
    2008
    114views Computational Linguistics» more  COLING 2008»
    Choosing the Right Translation: A Syntactically Informed Classification Approach
    13 years 9 months ago
    Choosing the Right Translation: A Syntactically Informed Classification Approach
    Download  www.aclweb.org
    One style of Multi-Engine Machine Translation architecture involves choosing the best of a set of outputs from different systems. Choosing the best translation from an arbitrary s...
    Simon Zwarts, Mark Dras
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    ACL
    2006
    106views Computational Linguistics» more  ACL 2006»
    Scalable Inference and Training of Context-Rich Syntactic Translation Models
    13 years 9 months ago
    Scalable Inference and Training of Context-Rich Syntactic Translation Models
    Download  www.isi.edu
    Statistical MT has made great progress in the last few years, but current translation models are weak on re-ordering and target language fluency. Syntactic approaches seek to reme...
    Michel Galley, Jonathan Graehl, Kevin Knight, Dani...
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