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    ACL
    2012
    182views Computational Linguistics» more  ACL 2012»
    Prediction of Learning Curves in Machine Translation
    12 years 2 months ago
    Prediction of Learning Curves in Machine Translation
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    Parallel data in the domain of interest is the key resource when training a statistical machine translation (SMT) system for a specific purpose. Since ad-hoc manual translation c...
    Prasanth Kolachina, Nicola Cancedda, Marc Dymetman...
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    ACL
    2012
    239views Computational Linguistics» more  ACL 2012»
    Akamon: An Open Source Toolkit for Tree/Forest-Based Statistical Machine Translation
    12 years 2 months ago
    Akamon: An Open Source Toolkit for Tree/Forest-Based Statistical Machine Translation
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    We describe Akamon, an open source toolkit for tree and forest-based statistical machine translation (Liu et al., 2006; Mi et al., 2008; Mi and Huang, 2008). Akamon implements all...
    Xianchao Wu, Takuya Matsuzaki, Jun-ichi Tsujii
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    ACL
    2012
    211views Computational Linguistics» more  ACL 2012»
    Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
    12 years 2 months ago
    Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
    Download  www.cs.cmu.edu
    With a few exceptions, discriminative training in statistical machine translation (SMT) has been content with tuning weights for large feature sets on small development data. Evid...
    Patrick Simianer, Stefan Riezler, Chris Dyer
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    ACL
    2012
    194views Computational Linguistics» more  ACL 2012»
    Fast and Scalable Decoding with Language Model Look-Ahead for Phrase-based Statistical Machine Translation
    12 years 2 months ago
    Fast and Scalable Decoding with Language Model Look-Ahead for Phrase-based Statistical Machine Translation
    Download  www-i6.informatik.rwth-aachen.de
    In this work we present two extensions to the well-known dynamic programming beam search in phrase-based statistical machine translation (SMT), aiming at increased efficiency of ...
    Joern Wuebker, Hermann Ney, Richard Zens
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    ACL
    2012
    163views Computational Linguistics» more  ACL 2012»
    Private Access to Phrase Tables for Statistical Machine Translation
    12 years 2 months ago
    Private Access to Phrase Tables for Statistical Machine Translation
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    Some Statistical Machine Translation systems never see the light because the owner of the appropriate training data cannot release them, and the potential user of the system canno...
    Nicola Cancedda
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    ACL
    2012
    211views Computational Linguistics» more  ACL 2012»
    Enhancing Statistical Machine Translation with Character Alignment
    12 years 2 months ago
    Enhancing Statistical Machine Translation with Character Alignment
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    The dominant practice of statistical machine translation (SMT) uses the same Chinese word segmentation specification in both alignment and translation rule induction steps in buil...
    Ning Xi, Guangchao Tang, Xinyu Dai, Shujian Huang,...
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    ACL
    2012
    180views Computational Linguistics» more  ACL 2012»
    Improving the IBM Alignment Models Using Variational Bayes
    12 years 2 months ago
    Improving the IBM Alignment Models Using Variational Bayes
    Download  www.cs.rochester.edu
    Bayesian approaches have been shown to reduce the amount of overfitting that occurs when running the EM algorithm, by placing prior probabilities on the model parameters. We appl...
    Darcey Riley, Daniel Gildea
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    ACL
    2012
    192views Computational Linguistics» more  ACL 2012»
    Mixing Multiple Translation Models in Statistical Machine Translation
    12 years 2 months ago
    Mixing Multiple Translation Models in Statistical Machine Translation
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    Statistical machine translation is often faced with the problem of combining training data from many diverse sources into a single translation model which then has to translate se...
    Majid Razmara, George Foster, Baskaran Sankaran, A...
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    ACL
    2012
    227views Computational Linguistics» more  ACL 2012»
    Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages
    12 years 2 months ago
    Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages
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    We propose several techniques for improving statistical machine translation between closely-related languages with scarce resources. We use character-level translation trained on ...
    Preslav Nakov, Jörg Tiedemann
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    ACL
    2012
    244views Computational Linguistics» more  ACL 2012»
    A Ranking-based Approach to Word Reordering for Statistical Machine Translation
    12 years 2 months ago
    A Ranking-based Approach to Word Reordering for Statistical Machine Translation
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    Long distance word reordering is a major challenge in statistical machine translation research. Previous work has shown using source syntactic trees is an effective way to tackle ...
    Nan Yang, Mu Li, Dongdong Zhang, Nenghai Yu
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