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    LREC
    2008
    90views Education» more  LREC 2008»
    Word Alignment Annotation in a Japanese-Chinese Parallel Corpus
    13 years 10 months ago
    Word Alignment Annotation in a Japanese-Chinese Parallel Corpus
    Download  www.lrec-conf.org
    Parallel corpora are critical resources for machine translation research and development since parallel corpora contain translation equivalences of various granularities. Manual a...
    Yujie Zhang, Zhulong Wang, Kiyotaka Uchimoto, Qing...
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    ICCV
    2005
    IEEE
    248views Computer Vision» more  ICCV 2005»
    Learning Non-Generative Grammatical Models for Document Analysis
    14 years 2 months ago
    Learning Non-Generative Grammatical Models for Document Analysis
    Download  research.microsoft.com
    — We present a general approach for the hierarchical segmentation and labeling of document layout structures. This approach models document layout as a grammar and performs a glo...
    Michael Shilman, Percy Liang, Paul A. Viola
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    ICDAR
    2009
    IEEE
    213views Document Analysis» more  ICDAR 2009»
    Lexicon-Based Word Recognition Using Support Vector Machine and Hidden Markov Model
    13 years 6 months ago
    Lexicon-Based Word Recognition Using Support Vector Machine and Hidden Markov Model
    Download  www.cvc.uab.es
    Hybrid of Neural Network (NN) and Hidden Markov Model (HMM) has been popular in word recognition, taking advantage of NN discriminative property and HMM representational capabilit...
    Abdul Rahim Ahmad, Christian Viard-Gaudin, Marzuki...
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    EMNLP
    2011
    164views Natural Language Processing» more  EMNLP 2011»
    Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation
    12 years 9 months ago
    Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation
    Download  cs.jhu.edu
    We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
    Ashish Venugopal, Jakob Uszkoreit, David Talbot, F...
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    EMNLP
    2008
    160views Natural Language Processing» more  EMNLP 2008»
    Lattice-based Minimum Error Rate Training for Statistical Machine Translation
    13 years 10 months ago
    Lattice-based Minimum Error Rate Training for Statistical Machine Translation
    Download  aclweb.org
    Minimum Error Rate Training (MERT) is an effective means to estimate the feature function weights of a linear model such that an automated evaluation criterion for measuring syste...
    Wolfgang Macherey, Franz Josef Och, Ignacio Thayer...
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