Multiword expression

Results: 39



#Item
1Multiword Expression Identification with Tree Substitution Grammars: A Parsing tour de force with French Spence Green* , Marie-Catherine de Marneffe† , John Bauer* , and Christopher D. Manning*† * Computer Science De

Multiword Expression Identification with Tree Substitution Grammars: A Parsing tour de force with French Spence Green* , Marie-Catherine de Marneffe† , John Bauer* , and Christopher D. Manning*† * Computer Science De

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Source URL: www.spencegreen.com

Language: English - Date: 2011-06-21 23:37:55
    2Multiword Expression Identification with Tree Substitution Grammars Spence Green, Marie-Catherine de Marneffe, John Bauer, and Christopher D. Manning Stanford University EMNLP 2011

    Multiword Expression Identification with Tree Substitution Grammars Spence Green, Marie-Catherine de Marneffe, John Bauer, and Christopher D. Manning Stanford University EMNLP 2011

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    Source URL: www.spencegreen.com

    Language: English - Date: 2011-09-06 01:42:18
      3quality translation by deep language engineering approaches

      quality translation by deep language engineering approaches

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      Source URL: www.di.fc.ul.pt

      Language: English - Date: 2016-05-03 11:51:16
      49. KONFERENCA JEZIKOVNE TEHNOLOGIJE Informacijska družba - IS 2014 9th Language Technologies Conference Information Society - IS 2014

      9. KONFERENCA JEZIKOVNE TEHNOLOGIJE Informacijska družba - IS 2014 9th Language Technologies Conference Information Society - IS 2014

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      Source URL: nl.ijs.si

      Language: English - Date: 2014-10-19 11:19:03
      5Semi-automatic Detection of Multiword Expressions in the Slovak Dependency Treebank Daniela Majchráková,∗ Ondřej Dušek,‡ Jan Hajič,‡ Agáta Karčová∗ and Radovan Garabík∗ ∗ Ľ. Štúr Institute of Ling

      Semi-automatic Detection of Multiword Expressions in the Slovak Dependency Treebank Daniela Majchráková,∗ Ondřej Dušek,‡ Jan Hajič,‡ Agáta Karčová∗ and Radovan Garabík∗ ∗ Ľ. Štúr Institute of Ling

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      Source URL: korpus.juls.savba.sk

      Language: English - Date: 2016-08-20 20:46:27
      6Proceedings of the International Multiconference on Computer Science and Information Technology pp. 299–303 ISBN4 ISSN

      Proceedings of the International Multiconference on Computer Science and Information Technology pp. 299–303 ISBN4 ISSN

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      Source URL: www.latl.unige.ch

      Language: English - Date: 2009-11-02 04:16:39
      7Multiword Expression Identification with Tree Substitution Grammars: A Parsing tour de force with French Spence Green* , Marie-Catherine de Marneffe† , John Bauer* , and Christopher D. Manning*† * Computer Science De

      Multiword Expression Identification with Tree Substitution Grammars: A Parsing tour de force with French Spence Green* , Marie-Catherine de Marneffe† , John Bauer* , and Christopher D. Manning*† * Computer Science De

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      Source URL: www-nlp.stanford.edu

      Language: English - Date: 2011-06-22 00:09:55
        8Multiword Expressions: Some Problems for Japanese NLP Timothy Baldwin CSLI, Stanford University 210 Panama St., Stanford, CA 94305, USA

        Multiword Expressions: Some Problems for Japanese NLP Timothy Baldwin CSLI, Stanford University 210 Panama St., Stanford, CA 94305, USA

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        Source URL: lingo.stanford.edu

        Language: English
        9In Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC 2004), Lisbon, Portugal, ppA Multilingual Database of Idioms Aline Villavicencio∗ , Timothy Baldwin† , Benja

        In Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC 2004), Lisbon, Portugal, ppA Multilingual Database of Idioms Aline Villavicencio∗ , Timothy Baldwin† , Benja

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        Source URL: lingo.stanford.edu

        Language: English
        10Multiword expressions 1 Introduction Even the best existing formal grammars of natural languages generate a large proportion of utterances that sound stilted, ugly or simply wrong to native speakers. Many of the problems

        Multiword expressions 1 Introduction Even the best existing formal grammars of natural languages generate a large proportion of utterances that sound stilted, ugly or simply wrong to native speakers. Many of the problems

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        Source URL: lingo.stanford.edu

        Language: English