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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में बचाया:
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मुख्य लेखक: Song, Sanghoun (auth)
स्वरूप: इलेक्ट्रोनिक पुस्तक अध्याय
भाषा:अंग्रेज़ी
प्रकाशित: Language Science Press 2017
श्रृंखला:Topics at the Grammar-Discourse Interface
विषय:
ऑनलाइन पहुंच:DOAB: download the publication
DOAB: description of the publication
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विवरण
सारांश: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.
भौतिक वर्णन:1 electronic resource (329 p.)
आईएसबीएन:zenodo.818365
9783944675978;9783946234647
अभिगमन:Open Access