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    ACL
    2011
    152views Computational Linguistics» more  ACL 2011»
    Unsupervised Word Alignment with Arbitrary Features
    13 years 5 days ago
    Unsupervised Word Alignment with Arbitrary Features
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    Chris Dyer, Jonathan H. Clark, Alon Lavie, Noah A....
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    ACL
    2011
    202views Computational Linguistics» more  ACL 2011»
    An Algorithm for Unsupervised Transliteration Mining with an Application to Word Alignment
    13 years 5 days ago
    An Algorithm for Unsupervised Transliteration Mining with an Application to Word Alignment
    Download  www.ims.uni-stuttgart.de
    We propose a language-independent method for the automatic extraction of transliteration pairs from parallel corpora. In contrast to previous work, our method uses no form of supe...
    Hassan Sajjad, Alexander Fraser, Helmut Schmid
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    EMNLP
    2009
    163views Natural Language Processing» more  EMNLP 2009»
    Parser Adaptation and Projection with Quasi-Synchronous Grammar Features
    13 years 6 months ago
    Parser Adaptation and Projection with Quasi-Synchronous Grammar Features
    Download  www.aclweb.org
    We connect two scenarios in structured learning: adapting a parser trained on one corpus to another annotation style, and projecting syntactic annotations from one language to ano...
    David A. Smith, Jason Eisner
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    EMNLP
    2007
    110views Natural Language Processing» more  EMNLP 2007»
    Getting the Structure Right for Word Alignment: LEAF
    13 years 10 months ago
    Getting the Structure Right for Word Alignment: LEAF
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    Word alignment is the problem of annotating parallel text with translational correspondence. Previous generative word alignment models have made structural assumptions such as the...
    Alexander Fraser, Daniel Marcu
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    NAACL
    2010
    147views Computational Linguistics» more  NAACL 2010»
    Painless Unsupervised Learning with Features
    13 years 6 months ago
    Painless Unsupervised Learning with Features
    Download  www.aclweb.org
    We show how features can easily be added to standard generative models for unsupervised learning, without requiring complex new training methods. In particular, each component mul...
    Taylor Berg-Kirkpatrick, Alexandre Bouchard-C&ocir...
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