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    » Parsing And Derivational Equivalence
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    EACL
    1993
    ACL Anthology
    110views Natural Language Processing» more  EACL 1993»
    Using an Annotated Corpus as a Stochastic Grammar
    13 years 8 months ago
    Using an Annotated Corpus as a Stochastic Grammar
    Download  acl.ldc.upenn.edu
    In Data Oriented Parsing (DOP), an annotated corpus is used as a stochastic grammar. An input string is parsed by combining subtrees from the corpus. As a consequence, one parse t...
    Rens Bod
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    ACL
    2011
    210views Computational Linguistics» more  ACL 2011»
    The Surprising Variance in Shortest-Derivation Parsing
    12 years 11 months ago
    The Surprising Variance in Shortest-Derivation Parsing
    Download  www.eecs.berkeley.edu
    We investigate full-scale shortest-derivation parsing (SDP), wherein the parser selects an analysis built from the fewest number of training fragments. Shortest derivation parsing...
    Mohit Bansal, Dan Klein
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    COLING
    2000
    105views Computational Linguistics» more  COLING 2000»
    Parsing with the Shortest Derivation
    13 years 8 months ago
    Parsing with the Shortest Derivation
    Download  acl.ldc.upenn.edu
    Common wisdom has it that tile bias of stochastic grammars in favor of shorter deriwttions of a sentence is hamfful and should be redressed. We show that the common wisdom is wron...
    Rens Bod
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    ACL
    1996
    103views Computational Linguistics» more  ACL 1996»
    Efficient Transformation-Based Parsing
    13 years 8 months ago
    Efficient Transformation-Based Parsing
    Download  www.aclweb.org
    In transformation-based parsing, a finite sequence of tree rewriting rules are checked for application to an input structure. Since in practice only a small percentage of rules ar...
    Giorgio Satta, Eric Brill
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    NAACL
    1994
    80views Computational Linguistics» more  NAACL 1994»
    Decision Tree Parsing using a Hidden Derivation Model
    13 years 8 months ago
    Decision Tree Parsing using a Hidden Derivation Model
    Download  www.aclweb.org
    Frederick Jelinek, John D. Lafferty, David M. Mage...
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