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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| Главный автор: | |
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| Формат: | Online |
| Язык: | английский |
| Опубликовано: |
Language Science Press
2021
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| Предметы: | |
| Online-ссылка: | 641702 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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| Итог: | 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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