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    COLING
    2008
    211views Computational Linguistics» more  COLING 2008»
    A Classifier-Based Approach to Preposition and Determiner Error Correction in L2 English
    13 years 6 months ago
    A Classifier-Based Approach to Preposition and Determiner Error Correction in L2 English
    Download  www.aclweb.org
    In this paper, we present an approach to the automatic identification and correction of preposition and determiner errors in nonnative (L2) English writing. We show that models of...
    Rachele De Felice, Stephen G. Pulman
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    COLING
    2008
    113views Computational Linguistics» more  COLING 2008»
    Metric Learning for Synonym Acquisition
    13 years 6 months ago
    Metric Learning for Synonym Acquisition
    Download  www.aclweb.org
    The distance or similarity metric plays an important role in many natural language processing (NLP) tasks. Previous studies have demonstrated the effectiveness of a number of metr...
    Nobuyuki Shimizu, Masato Hagiwara, Yasuhiro Ogawa,...
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    COLING
    2008
    98views Computational Linguistics» more  COLING 2008»
    Scientific Paper Summarization Using Citation Summary Networks
    13 years 6 months ago
    Scientific Paper Summarization Using Citation Summary Networks
    Download  www-personal.umich.edu
    Quickly moving to a new area of research is painful for researchers due to the vast amount of scientific literature in each field of study. One possible way to overcome this probl...
    Vahed Qazvinian, Dragomir R. Radev
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    COLING
    2008
    156views Computational Linguistics» more  COLING 2008»
    Class-Driven Attribute Extraction
    13 years 6 months ago
    Class-Driven Attribute Extraction
    Download  www.cs.rochester.edu
    We report on the large-scale acquisition of class attributes with and without the use of lists of representative instances, as well as the discovery of unary attributes, such as t...
    Benjamin Van Durme, Ting Qian, Lenhart Schubert
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    COLING
    2008
    129views Computational Linguistics» more  COLING 2008»
    Tera-Scale Translation Models via Pattern Matching
    13 years 6 months ago
    Tera-Scale Translation Models via Pattern Matching
    Download  homepages.inf.ed.ac.uk
    Translation model size is growing at a pace that outstrips improvements in computing power, and this hinders research on many interesting models. We show how an algorithmic scalin...
    Adam Lopez
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    COLING
    2008
    153views Computational Linguistics» more  COLING 2008»
    Hindi Urdu Machine Transliteration using Finite-State Transducers
    13 years 6 months ago
    Hindi Urdu Machine Transliteration using Finite-State Transducers
    Download  www.cse.iitb.ac.in
    Finite-state Transducers (FST) can be very efficient to implement inter-dialectal transliteration. We illustrate this on the Hindi and Urdu language pair. FSTs can also be used fo...
    M. G. Abbas Malik, Christian Boitet, Pushpak Bhatt...
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    COLING
    2008
    114views Computational Linguistics» more  COLING 2008»
    Choosing the Right Translation: A Syntactically Informed Classification Approach
    13 years 6 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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    COLING
    2008
    93views Computational Linguistics» more  COLING 2008»
    Modeling Latent-Dynamic in Shallow Parsing: A Latent Conditional Model with Imrpoved Inference
    13 years 6 months ago
    Modeling Latent-Dynamic in Shallow Parsing: A Latent Conditional Model with Imrpoved Inference
    Download  www.aclweb.org
    Xu Sun, Louis-Philippe Morency, Daisuke Okanohara,...
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    COLING
    2008
    110views Computational Linguistics» more  COLING 2008»
    Unsupervised Induction of Labeled Parse Trees by Clustering with Syntactic Features
    13 years 6 months ago
    Unsupervised Induction of Labeled Parse Trees by Clustering with Syntactic Features
    Download  www.cs.huji.ac.il
    We present an algorithm for unsupervised induction of labeled parse trees. The algorithm has three stages: bracketing, initial labeling, and label clustering. Bracketing is done f...
    Roi Reichart, Ari Rappoport
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    COLING
    2008
    124views Computational Linguistics» more  COLING 2008»
    Random Restarts in Minimum Error Rate Training for Statistical Machine Translation
    13 years 6 months ago
    Random Restarts in Minimum Error Rate Training for Statistical Machine Translation
    Download  www.aclweb.org
    Och's (2003) minimum error rate training (MERT) procedure is the most commonly used method for training feature weights in statistical machine translation (SMT) models. The u...
    Robert C. Moore, Chris Quirk
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