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    COLT
    2001
    Springer
    123views Machine Learning» more  COLT 2001»
    Robust Learning - Rich and Poor
    13 years 9 months ago
    Robust Learning - Rich and Poor
    Download  www.comp.nus.edu.sg
    A class C of recursive functions is called robustly learnable in the sense I (where I is any success criterion of learning) if not only C itself but even all transformed classes Î...
    John Case, Sanjay Jain, Frank Stephan, Rolf Wiehag...
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    LREC
    2008
    146views Education» more  LREC 2008»
    Estimating the Resource Adaption Cost from a Resource Rich Language to a Similar Resource Poor Language
    13 years 6 months ago
    Estimating the Resource Adaption Cost from a Resource Rich Language to a Similar Resource Poor Language
    Download  www.lrec-conf.org
    Developing resources which can be used for Natural Language Processing is an extremely difficult task for any language, but is even more so for less privileged (or less computeriz...
    Anil Kumar Singh, Kiran Pala, Harshit Surana
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    ACL
    2007
    133views Computational Linguistics» more  ACL 2007»
    Automatic Part-of-Speech Tagging for Bengali: An Approach for Morphologically Rich Languages in a Poor Resource Scenario
    13 years 6 months ago
    Automatic Part-of-Speech Tagging for Bengali: An Approach for Morphologically Rich Languages in a Poor Resource Scenario
    Download  acl.ldc.upenn.edu
    This paper describes our work on building Part-of-Speech (POS) tagger for Bengali. We have use Hidden Markov Model (HMM) and Maximum Entropy (ME) based stochastic taggers. Bengali...
    Sandipan Dandapat, Sudeshna Sarkar, Anupam Basu
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    EMNLP
    2009
    129views Natural Language Processing» more  EMNLP 2009»
    Improved Statistical Machine Translation for Resource-Poor Languages Using Related Resource-Rich Languages
    13 years 3 months ago
    Improved Statistical Machine Translation for Resource-Poor Languages Using Related Resource-Rich Languages
    Download  www.comp.nus.edu.sg
    We propose a novel language-independent approach for improving statistical machine translation for resource-poor languages by exploiting their similarity to resource-rich ones. Mo...
    Preslav Nakov, Hwee Tou Ng
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    ACL
    2008
    195views Computational Linguistics» more  ACL 2008»
    Enriching Morphologically Poor Languages for Statistical Machine Translation
    13 years 6 months ago
    Enriching Morphologically Poor Languages for Statistical Machine Translation
    Download  aclweb.org
    We address the problem of translating from morphologically poor to morphologically rich languages by adding per-word linguistic information to the source language. We use the synt...
    Eleftherios Avramidis, Philipp Koehn
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