Modeling information structure in a cross-linguistic perspective
Abstract
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.
Keywords
multilingual machine translation; hgsg/mrs; natural language processing; grammar library; lingo grammar matrix system; information structure; Focus (linguistics); Japanese language; Korean language; Prosody (linguistics); Semantics; Word orderDOI
10.5281/zenodo.818365ISBN
9783944675978;9783946234647OCN
1030816809Publisher
Language Science PressPublisher website
https://langsci-press.org/Publication date and place
2017Series
Topics at the Grammar-Discourse Interface, 1Classification
Linguistics