Collocation

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In corpus linguistics, collocation defines a sequence of words or terms that co-occur more often than would be expected by chance. In phraseology, collocation is a sub-type of phraseme. An example of a phraseological collocation is the expression strong tea. (Wikipedia.org)

Conferences related to Collocation

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2012 8th International Conference on Natural Computation (ICNC)

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ICNC is an international forum on intelligent systems inspired from nature\, particularly neural\, biological\, and nonlinear systems\, with applications to signal processing\, communications\, biomedical engineering and more.

  • 2011 Seventh International Conference on Natural Computation (ICNC)

    ICNC is an international forum on intelligent systems inspired from nature, particularly neural, biological, and nonlinear systems, with applications to signal processing, communications, biomedical engineering, and more.

  • 2010 Sixth International Conference on Natural Computation (ICNC)

    ICNC is an international forum on intelligent systems inspired from nature, particularly neural, biological, and nonlinear systems, with applications to signal processing, communications, biomedical engineering, and more.


2012 American Control Conference - ACC 2012

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All areas of control engineering and science.


2012 International Conference on Machine Learning and Cybernetics (ICMLC)

Adaptive systems\, Pattern Recognition\, Biometrics\, Inductive learning\, Evolutionary computation\, Bioinformatics\, Data mining\, Information retrieval\, Intelligent agent\, Financial engineering\, Rough Set\, Applications.

  • 2011 International Conference on Machine Learning and Cybernetics (ICMLC)

    Adaptive systems, Neural net and support vector machine, Business intelligence, Hybrid and nonlinear system, Biometrics, Fuzzy set theory, fuzzy control and system, Bioinformatics, Knowledge management, Data and web mining, Information retrieval, Intelligent agent, Intelligent and knowledge based system, Financial engineering, Rough and fuzzy rough set, Inductive learning, Networking and information security, Geoinformatics, Evolutionary computation, Pattern Recognition, Ensemble method, Logistics, Informat

  • 2010 International Conference on Machine Learning and Cybernetics (ICMLC)

    Adaptive systems, Neural net and support vector machine, Business intelligence, Hybrid and nonlinear system, Biometrics, Fuzzy set theory, fuzzy control and system, Bioinformatics, Knowledge management, Data and web mining, Information retrieval, Intelligent agent, Intelligent and knowledge based system, Financial engineering, Rough and fuzzy rough set, Inductive learning, Networking and information security, Geoinformatics, Evolutionary computation, Pattern Recognition, Ensemble method, Logistics, Informat

  • 2009 International Conference on Machine Learning and Cybernetics (ICMLC)

    Adaptive systems, Neural net and support vector machine, Business intelligence, Hybrid and nonlinear system, Biometrics, Fuzzy set theory, fuzzy control and system, Bioinformatics, Knowledge management, Data and web mining, Information retrieval, Intelligent agent, Intelligent and knowledge based system, Financial engineering, Rough and fuzzy rough set, Inductive learning, Networking and information security, Geoinformatics, Evolutionary computation, Pattern Recognition, Ensemble method, Logistics

  • 2008 International Conference on Machine Learning and Cybernetics (ICMLC)

    Adaptive systems, Neural net and support vector machine, Business intelligence, Hybrid and nonlinear system, Biometrics, Fuzzy set theory, fuzzy control and system, Bioinformatics, Knowledge management, Data and web mining, Information retrieval, Intelligent agent, Intelligent and knowledge based system, Financial engineering, Rough and fuzzy rough set, Inductive learning, Networking and information security, Geoinformatics, Evolutionary computation, Pattern Recognition, Ensemble method, Logistics, Informat

  • 2007 International Conference on Machine Learning and Cybernetics (ICMLC)

    Multiple themes included: Generalization Error Model for Pattern Classification, Rough Sets and Fuzzy Rough Sets, Multiple Classifier Systems, Computation Life Science and Bioinformatics, Media Computing, Web Intelligent Computing. Topics included: Adaptive systems, Neural nets and support vector machines, Business intelligence, Hybrid and nonlinear systems, Fuzzy theory, control and systems, Data and web mining, Information retrieval, intelligent agent etc.

  • 2006 International Conference on Machine Learning and Cybernetics (ICMLC)

  • 2005 International Conference on Machine Learning and Cybernetics (ICMLC)


2011 3rd IEEE International Conference on Information Management and Engineering (ICIME)

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ICIME is the main annual Information research conference aimed at presenting current research being carried out. Currently ICIME 2011 will be held during May 21 22, 2011. The idea of the conference is for the scientists, scholars, engineers and students from the Universities all around the world and the industry to present ongoing research activities, and hence to foster research relations between the Universities and the industry.

  • 2010 2nd IEEE International Conference on Information Management and Engineering (ICIME)

    ICIME is the main annual Information research conference in Kuala Lumpur aimed at presenting current research being carried out. Currently ICIME 2010 will be held during April 16 18, 2010. The idea of the conference is for the scientists, scholars, engineers and students from the Universities all around the world and the industry to present ongoing research activities, and hence to foster research relations between the Universities and the industry.


2011 7th International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE)

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The topics of the conference include, but not limited to, the following: Fundamental NLP Technologies, Major Applications of NLP, Knowledge Engineering in NLP.


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Xplore Articles related to Collocation

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  • A practical framework for formalizing and extracting Chinese collocations

    Weiguang Qu; Xuri Tang; Junsheng Zhou; Yanhui Gu; Bin Li Natural Language Processing andKnowledge Engineering (NLP-KE), 2011 7th International Conference on, 2011

    In this paper we argue for a word-sense based formalization for collocation, and proposes a seed-based approach for collocation extraction for specific purposes. The approach uses RFR_SUM model to iteratively classify polysemous word sense in the corpus. The collocation strength is also obtained by RFR. To capture the syntactic relation inside collocations, this paper presents a frame-based collocation extraction method, ...

  • Collocation Accuracy of Visuo-Haptic System: Metrics and Calibration

    Dangxiao Wang; Yuru Zhang; Wanlin Zhou; Hui Zhao; Zhongyuan Chen Haptics, IEEE Transactions on, 2011

    Human resolution of collocation error between haptic and stereoscopic displays influences the design of visuo-haptic rendering algorithms, yet it is not well characterized. In the present study, we propose quantified metrics to measure the visuo-haptic collocation error and a prototype based on half-silvered mirror is established to validate the metrics. After defining collocation error in terms of the spatial correspondence ...

  • A Comparison between Global and Local Orthogonal Collocation Methods for Solving Optimal Control Problems

    Huntington, G.T.; Rao, A.V. American Control Conference, 2007. ACC '07, 2007

    A comparison is made between local and global orthogonal collocation methods for solving optimal control problems. The study is performed using an orthogonal collocation method called the Gauss pseudospectral method. In particular, this method is employed in two different ways. In the first approach, the method is applied globally and solutions are computed for various numbers of collocation points. In ...

  • Chinese Typed Collocation Extraction using Corpus-based Syntactic Collocation Patterns

    Wanyin Li; Qin Lu; Liu, J. Natural Language Processing and Knowledge Engineering, 2007. NLP-KE 2007. International Conference on, 2007

    Collocations play significant role in many application and extraction them automatically is useful in NLP. Syntactic-based phrase patterns used in collocation extraction have brought advantages due to the well-formedness of results and automatically classifying the candidates into syntactically congeneric categories. However, due to the language independency, the arbitrary choice of syntactic patterns for target collocations brings drawbacks for evaluation as ...

  • Study of collocation in modern Chinese based on corpus methods

    Hua Liu; Lu Zhou Computer Science and Network Technology (ICCSNT), 2011 International Conference on, 2011

    This paper mainly covers the application of corpus-based approach to the research of collocation in modern Chinese, summarizing and commenting on the basic concepts, formulae, approaches and processes in collocation research. Based on previous studies, this paper raises suggestions on the method of extracting collocates, data arrangement and collocation description, and emphasizes on the use of two methods in study ...

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