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    ACL
    2009
    89views Computational Linguistics» more  ACL 2009»
    Variational Decoding for Statistical Machine Translation
    13 years 9 months ago
    Variational Decoding for Statistical Machine Translation
    Download  www.cs.jhu.edu
    Statistical models in machine translation exhibit spurious ambiguity. That is, the probability of an output string is split among many distinct derivations (e.g., trees or segment...
    Zhifei Li, Jason Eisner, Sanjeev Khudanpur
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    ACL
    2009
    86views Computational Linguistics» more  ACL 2009»
    A non-contiguous Tree Sequence Alignment-based Model for Statistical Machine Translation
    13 years 9 months ago
    A non-contiguous Tree Sequence Alignment-based Model for Statistical Machine Translation
    Download  www.aclweb.org
    The tree sequence based translation model allows the violation of syntactic boundaries in a rule to capture non-syntactic phrases, where a tree sequence is a contiguous sequence o...
    Jun Sun, Min Zhang, Chew Lim Tan
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    ACL
    2009
    90views Computational Linguistics» more  ACL 2009»
    Topological Field Parsing of German
    13 years 9 months ago
    Topological Field Parsing of German
    Download  www.aclweb.org
    Freer-word-order languages such as German exhibit linguistic phenomena that present unique challenges to traditional CFG parsing. Such phenomena produce discontinuous constituents...
    Jackie Chi Kit Cheung, Gerald Penn
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    ACL
    2009
    133views Computational Linguistics» more  ACL 2009»
    Better Word Alignments with Supervised ITG Models
    13 years 9 months ago
    Better Word Alignments with Supervised ITG Models
    Download  john.blitzer.com
    This work investigates supervised word alignment methods that exploit inversion transduction grammar (ITG) constraints. We consider maximum margin and conditional likelihood objec...
    Aria Haghighi, John Blitzer, John DeNero, Dan Klei...
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    ACL
    2009
    123views Computational Linguistics» more  ACL 2009»
    Improving Automatic Speech Recognition for Lectures through Transformation-based Rules Learned from Minimal Data
    13 years 9 months ago
    Improving Automatic Speech Recognition for Lectures through Transformation-based Rules Learned from Minimal Data
    Download  newdesign.aclweb.org
    We demonstrate that transformation-based learning can be used to correct noisy speech recognition transcripts in the lecture domain with an average word error rate reduction of 12...
    Cosmin Munteanu, Gerald Penn, Xiaodan Zhu
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    ACL
    2009
    133views Computational Linguistics» more  ACL 2009»
    A global model for joint lemmatization and part-of-speech prediction
    13 years 9 months ago
    A global model for joint lemmatization and part-of-speech prediction
    Download  research.microsoft.com
    We present a global joint model for lemmatization and part-of-speech prediction. Using only morphological lexicons and unlabeled data, we learn a partiallysupervised part-of-speec...
    Kristina Toutanova, Colin Cherry
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    ACL
    2009
    141views Computational Linguistics» more  ACL 2009»
    SMS based Interface for FAQ Retrieval
    13 years 9 months ago
    SMS based Interface for FAQ Retrieval
    Download  www.aclweb.org
    Short Messaging Service (SMS) is popularly used to provide information access to people on the move. This has resulted in the growth of SMS based Question Answering (QA) services....
    Govind Kothari, Sumit Negi, Tanveer A. Faruquie, V...
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    ACL
    2009
    166views Computational Linguistics» more  ACL 2009»
    Semi-Supervised Active Learning for Sequence Labeling
    13 years 9 months ago
    Semi-Supervised Active Learning for Sequence Labeling
    Download  aclweb.org
    While Active Learning (AL) has already been shown to markedly reduce the annotation efforts for many sequence labeling tasks compared to random selection, AL remains unconcerned a...
    Katrin Tomanek, Udo Hahn
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    ACL
    2009
    170views Computational Linguistics» more  ACL 2009»
    Concise Integer Linear Programming Formulations for Dependency Parsing
    13 years 9 months ago
    Concise Integer Linear Programming Formulations for Dependency Parsing
    Download  www.aclweb.org
    We formulate the problem of nonprojective dependency parsing as a polynomial-sized integer linear program. Our formulation is able to handle non-local output features in an effici...
    André L. Martins, Noah A. Smith, Eric P. Xi...
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    ACL
    2009
    92views Computational Linguistics» more  ACL 2009»
    Non-Projective Dependency Parsing in Expected Linear Time
    13 years 9 months ago
    Non-Projective Dependency Parsing in Expected Linear Time
    Download  www.aclweb.org
    We present a novel transition system for dependency parsing, which constructs arcs only between adjacent words but can parse arbitrary non-projective trees by swapping the order o...
    Joakim Nivre
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