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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
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