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    CONPAR
    1994
    202views Distributed And Parallel Com...» more  CONPAR 1994»
    The Rewrite Rule Machine Node Architecture and Its Performance
    14 years 2 months ago
    The Rewrite Rule Machine Node Architecture and Its Performance
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    The Rewrite Rule Machine (RRM) is a massively parallel MIMD/SIMD computer designed with the explicit purpose of supporting veryhigh-level parallel programming with rewrite rules. T...
    Patrick Lincoln, José Meseguer, Livio Ricci...
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    ACL
    2007
    139views Computational Linguistics» more  ACL 2007»
    Statistical Machine Translation for Query Expansion in Answer Retrieval
    13 years 11 months ago
    Statistical Machine Translation for Query Expansion in Answer Retrieval
    Download  www.stefanriezler.com
    We present an approach to query expansion in answer retrieval that uses Statistical Machine Translation (SMT) techniques to bridge the lexical gap between questions and answers. S...
    Stefan Riezler, Alexander Vasserman, Ioannis Tsoch...
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    EMNLP
    2008
    131views Natural Language Processing» more  EMNLP 2008»
    Maximum Entropy based Rule Selection Model for Syntax-based Statistical Machine Translation
    13 years 11 months ago
    Maximum Entropy based Rule Selection Model for Syntax-based Statistical Machine Translation
    Download  www.aclweb.org
    This paper proposes a novel maximum entropy based rule selection (MERS) model for syntax-based statistical machine translation (SMT). The MERS model combines local contextual info...
    Qun Liu, Zhongjun He, Yang Liu, Shouxun Lin
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    DAGSTUHL
    2006
    125views Software Engineering» more  DAGSTUHL 2006»
    Bridging the Gap between Relocatability and Available Technology: The Erlangen Slot Machine
    13 years 11 months ago
    Bridging the Gap between Relocatability and Available Technology: The Erlangen Slot Machine
    Download  www12.informatik.uni-erlangen.de
    We present an FPGA-based reconfigurable platform called Erlangen Slot Machine (ESM). The main advantages of this platform are: First, the possibility for each module to access peri...
    Diana Göhringer, Mateusz Majer, Jürgen T...
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    ESANN
    2006
    182views Neural Networks» more  ESANN 2006»
    Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
    13 years 11 months ago
    Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
    Download  www.see.ed.ac.uk
    A probabilistic, ``neural'' approach to sensor modelling and classification is described, performing local data fusion in a wireless system for embedded sensors using a ...
    Tong Boon Tang, Alan F. Murray
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