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    » MAXSIM: A Maximum Similarity Metric for Machine Translation ...
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    ACL
    2003
    97views Computational Linguistics» more  ACL 2003»
    Minimum Error Rate Training in Statistical Machine Translation
    13 years 8 months ago
    Minimum Error Rate Training in Statistical Machine Translation
    Download  acl.ldc.upenn.edu
    Often, the training procedure for statistical machine translation models is based on maximum likelihood or related criteria. A general problem of this approach is that there is on...
    Franz Josef Och
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    EMNLP
    2008
    121views Natural Language Processing» more  EMNLP 2008»
    Indirect-HMM-based Hypothesis Alignment for Combining Outputs from Machine Translation Systems
    13 years 8 months ago
    Indirect-HMM-based Hypothesis Alignment for Combining Outputs from Machine Translation Systems
    Download  research.microsoft.com
    This paper presents a new hypothesis alignment method for combining outputs of multiple machine translation (MT) systems. An indirect hidden Markov model (IHMM) is proposed to add...
    Xiaodong He, Mei Yang, Jianfeng Gao, Patrick Nguye...
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    LREC
    2010
    148views Education» more  LREC 2010»
    Mining the Correlation between Human and Automatic Evaluation at Sentence Level
    13 years 8 months ago
    Mining the Correlation between Human and Automatic Evaluation at Sentence Level
    Download  www.lrec-conf.org
    Automatic evaluation metrics are fast and cost-effective measurements of the quality of a Machine Translation (MT) system. However, as humans are the end-user of MT output, human ...
    Yanli Sun
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    ACL
    2006
    161views Computational Linguistics» more  ACL 2006»
    Minimum Risk Annealing for Training Log-Linear Models
    13 years 8 months ago
    Minimum Risk Annealing for Training Log-Linear Models
    Download  www.cs.jhu.edu
    When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
    David A. Smith, Jason Eisner
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    NAACL
    2003
    153views Computational Linguistics» more  NAACL 2003»
    Automatic Evaluation of Summaries Using N-gram Co-occurrence Statistics
    13 years 8 months ago
    Automatic Evaluation of Summaries Using N-gram Co-occurrence Statistics
    Download  acl.ldc.upenn.edu
    Following the recent adoption by the machine translation community of automatic evaluation using the BLEU/NIST scoring process, we conduct an in-depth study of a similar idea for ...
    Chin-Yew Lin, Eduard H. Hovy
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