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 cross-linguistic find...

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Bibliographic Details
Main Author: Song, Sanghoun
Format: eBook
Language:English
Published: Language Science Press 2017
Series:Topics at the Grammar-Discourse Interface
Subjects:
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
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653 |a lingo grammar matrix system 
653 |a grammar library 
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653 |a Korean language 
653 |a multilingual machine translation 
653 |a natural language processing 
653 |a Semantics 
653 |a Prosody (linguistics) 
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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 cross-linguistic 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.