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    » Cross-Corpus Evaluation of Word Alignment
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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 10 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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    COLING
    2008
    132views Computational Linguistics» more  COLING 2008»
    ParaMetric: An Automatic Evaluation Metric for Paraphrasing
    13 years 10 months ago
    ParaMetric: An Automatic Evaluation Metric for Paraphrasing
    Download  www.cs.jhu.edu
    We present ParaMetric, an automatic evaluation metric for data-driven approaches to paraphrasing. ParaMetric provides an objective measure of quality using a collection of multipl...
    Chris Callison-Burch, Trevor Cohn, Mirella Lapata
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    IICAI
    2007
    208views Artificial Intelligence» more  IICAI 2007»
    Exploring Translation Similarities for Building a Better Sentence Aligner
    13 years 10 months ago
    Exploring Translation Similarities for Building a Better Sentence Aligner
    Download  ltrc.iiit.ac.in
    Abstract. The approaches previously used for sentence alignment (sentence length, word correspondence and cognate matching) take into account different aspects of similarity betwe...
    Anil Kumar Singh, Samar Husain
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    EMNLP
    2004
    113views Natural Language Processing» more  EMNLP 2004»
    Dependencies vs. Constituents for Tree-Based Alignment
    13 years 9 months ago
    Dependencies vs. Constituents for Tree-Based Alignment
    Download  www.cs.rochester.edu
    Given a parallel parsed corpus, statistical treeto-tree alignment attempts to match nodes in the syntactic trees for a given sentence in two languages. We train a probabilistic tr...
    Daniel Gildea
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    ICASSP
    2010
    IEEE
    169views Signal Processing» more  ICASSP 2010»
    Evaluation of semantic role labeling and dependency parsing of automatic speech recognition output
    13 years 8 months ago
    Evaluation of semantic role labeling and dependency parsing of automatic speech recognition output
    Download  www.icsi.berkeley.edu
    Semantic role labeling (SRL) is an important module of spoken language understanding systems. This work extends the standard evaluation metrics for joint dependency parsing and SR...
    Benoît Favre, Bernd Bohnet, Dilek Hakkani-T&...
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