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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| Main Author: | |
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| Format: | Electronic Book Chapter |
| Language: | English |
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Language Science Press
2017
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| Series: | Topics at the Grammar-Discourse Interface
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| Subjects: | |
| Online Access: | DOAB: download the publication DOAB: description of the publication |
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| 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. |
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| Physical Description: | 1 electronic resource (329 p.) |
| ISBN: | zenodo.818365 9783944675978;9783946234647 |
| Access: | Open Access |