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    » Transliteration for Resource-Scarce Languages
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    ACL
    2007
    136views Computational Linguistics» more  ACL 2007»
    Corpus Effects on the Evaluation of Automated Transliteration Systems
    14 years 11 months ago
    Corpus Effects on the Evaluation of Automated Transliteration Systems
    Download  aclweb.org
    Most current machine transliteration systems employ a corpus of known sourcetarget word pairs to train their system, and typically evaluate their systems on a similar corpus. In t...
    Sarvnaz Karimi, Andrew Turpin, Falk Scholer
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    NAACL
    2010
    160views Computational Linguistics» more  NAACL 2010»
    Language identification of names with SVMs
    14 years 8 months ago
    Language identification of names with SVMs
    Download  www.aclweb.org
    The task of identifying the language of text or utterances has a number of applications in natural language processing. Language identification has traditionally been approached w...
    Aditya Bhargava, Grzegorz Kondrak
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    CLEF
    2003
    Springer
    149views Information Technology» more  CLEF 2003»
    Foreign Name Backward Transliteration in Chinese-English Cross-Language Image Retrieval
    15 years 3 months ago
    Foreign Name Backward Transliteration in Chinese-English Cross-Language Image Retrieval
    Download  nlg.csie.ntu.edu.tw
    Abstract. In this paper we propose an approach to deal with the ChineseEnglish cross-language image retrieval problem. Text-based image retrieval and query translation methods were...
    Wen-Cheng Lin, Changhua Yang, Hsin-Hsi Chen
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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
    13 years 15 days ago
    Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages
    Download  aclweb.org
    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
    2010
    151views Computational Linguistics» more  ACL 2010»
    Jointly Optimizing a Two-Step Conditional Random Field Model for Machine Transliteration and Its Fast Decoding Algorithm
    14 years 8 months ago
    Jointly Optimizing a Two-Step Conditional Random Field Model for Machine Transliteration and Its Fast Decoding Algorithm
    Download  www.furui.cs.titech.ac.jp
    This paper presents a joint optimization method of a two-step conditional random field (CRF) model for machine transliteration and a fast decoding algorithm for the proposed metho...
    Dong Yang, Paul R. Dixon, Sadaoki Furui
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