Modeling information structure in a cross-linguistic perspective

This study makes substantial contributions to both the theoretical and computational treatment of information structure, with a specific focus on creating natural language processing applications such as multilingual machine translation systems. The present study first provides crosslinguistic findi...

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Autor principal: Song, Sanghoun
Format: Livre numérique
Idioma:Anglais
Publicat: Berlin : Language Science Press C 2017.
Col·lecció:Topics at the Grammar-Discourse interface 1
Matèries:
Accés en línia:https://langsci-press.org/catalog/book/111
Accès Université d'Orléans
Nota: Description d'après la consultation, 2020-04-30
Titre provenant de l'écran-titre
Language Science Press (hors Licence nationale)
Autres localisations: Voir dans le Sudoc
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245 1 0 |a Modeling information structure in a cross-linguistic perspective   |c Song Sanghoun. 
256 |a Données textuelles 
260 |a Berlin :  |b Language Science Press. 
260 |c C 2017. 
490 0 |a Topics at the Grammar-Discourse interface  |v 1 
500 |a Description d'après la consultation, 2020-04-30 
500 |a Titre provenant de l'écran-titre 
500 |a Language Science Press (hors Licence nationale) 
504 |a Bibliographie p. 277-297. Index 
520 |a This study makes substantial contributions to both the theoretical and computational treatment of information structure, with a specific focus on creating natural language processing applications such as multilingual machine translation systems. The present study first provides crosslinguistic findings in regards to information structure meanings and markings. Building upon such findings, the current model represents information structure within the HPSG/MRS framework using Individual Constraints. The primary goal of the present study is to create a multilingual grammar model of information structure for the LinGO Grammar Matrix system. The present study explores the construction of a grammar library for creating customized grammar incorporating information structure and illustrates how the information structure-based model improves performance of transfer-based machine translation. 
538 |a Navigateur Web 
650 |a Traitement du langage naturel 
650 |a Structure informationnelle 
650 |a Traduction automatique 
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