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    LREC
    2008
    174views Education» more  LREC 2008»
    Evaluation of a Machine Translation System for Low Resource Languages: METIS-II
    13 years 6 months ago
    Evaluation of a Machine Translation System for Low Resource Languages: METIS-II
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    In this paper we describe the METIS-II system and its evaluation on each of the language pairs: Dutch, German, Greek, and Spanish to English. The METIS-II system envisaged develop...
    Vincent Vandeghinste, Peter Dirix, Ineke Schuurman...
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    EACL
    2009
    ACL Anthology
    213views Natural Language Processing» more  EACL 2009»
    N-Gram-Based Statistical Machine Translation versus Syntax Augmented Machine Translation: Comparison and System Combination
    14 years 5 months ago
    N-Gram-Based Statistical Machine Translation versus Syntax Augmented Machine Translation: Comparison and System Combination
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    In this paper we compare and contrast two approaches to Machine Translation (MT): the CMU-UKA Syntax Augmented Machine Translation system (SAMT) and UPC-TALP N-gram-based Statisti...
    José A. R. Fonollosa, Maxim Khalilov
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    EMNLP
    2009
    152views Natural Language Processing» more  EMNLP 2009»
    Improved Statistical Machine Translation Using Monolingually-Derived Paraphrases
    13 years 2 months ago
    Improved Statistical Machine Translation Using Monolingually-Derived Paraphrases
    Download  www.cs.jhu.edu
    Untranslated words still constitute a major problem for Statistical Machine Translation (SMT), and current SMT systems are limited by the quantity of parallel training texts. Augm...
    Yuval Marton, Chris Callison-Burch, Philip Resnik
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    LREC
    2010
    134views Education» more  LREC 2010»
    Evaluation of Machine Translation Errors in English and Iraqi Arabic
    13 years 6 months ago
    Evaluation of Machine Translation Errors in English and Iraqi Arabic
    Download  www.lrec-conf.org
    Errors in machine translations of English-Iraqi Arabic dialogues were analyzed at two different points in the systems development using HTER methods to identify errors and human a...
    Sherri L. Condon, Dan Parvaz, John S. Aberdeen, Ch...
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    ACL
    2011
    273views Computational Linguistics» more  ACL 2011»
    Combining Morpheme-based Machine Translation with Post-processing Morpheme Prediction
    12 years 8 months ago
    Combining Morpheme-based Machine Translation with Post-processing Morpheme Prediction
    Download  www.cs.sfu.ca
    This paper extends the training and tuning regime for phrase-based statistical machine translation to obtain fluent translations into morphologically complex languages (we build ...
    Ann Clifton, Anoop Sarkar
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