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Modeling information structure in a cross-linguistic perspective
Sanghoun Song
2017
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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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Keywords
- Focus (Linguistics)
- grammar library
- HGSG/MRS
- information structure
- Japanese language
- Korean language
- Language
- LinGO Grammar Matrix system
- Linguistics
- multilingual machine translation
- Natural Language Processing
- Prosody (linguistics)
- Semantics
- thema EDItEUR::C Language and Linguistics::CF Linguistics
- Word order
Links
DOI: 10.5281/zenodo.818365Editions