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
Author / Creator:Song, Sanghoun.
Imprint:Berlin : Language Science Press, 2017.
Description:1 online resource (329 pages)
Language:English
Subject:Language.
linguistics.
Electronic book.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12333251
Hidden Bibliographic Details
ISBN:9783944675978
3944675975
9783946234647
394623464X
9783946234906
3946234909
Notes:English.
Summary: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.
Standard no.:10.5281/zenodo.818365