Modeling information structure in a cross-linguistic perspective

• Main Author: Song, Sanghoun (auth)
• Format: Electronic Book Chapter
• Language: English
• Published: Language Science Press 2017
• Series: Topics at the Grammar-Discourse Interface
• Subjects: linguistics; 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 order
• Online Access: DOAB: download the publication; DOAB: description of the publication

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.