Utilizing Global Syntactic Tree Features for Phrase Reordering
- Authors
- Lee, Yeon-Soo; Lee, Hyoung-Gyu; Rim, Hae-Chang; Hwang, Young-Sook
- Issue Date
- 6월-2014
- Publisher
- IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
- Keywords
- phrase reordering model; global syntactic tree features; phrase-based statistical machine translation
- Citation
- IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E97D, no.6, pp.1694 - 1698
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
- Volume
- E97D
- Number
- 6
- Start Page
- 1694
- End Page
- 1698
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/98441
- DOI
- 10.1587/transinf.E97.D.1694
- ISSN
- 1745-1361
- Abstract
- In phrase-based statistical machine translation, long distance reordering problem is one of the most challenging issues when translating syntactically distant language pairs. In this paper, we propose a novel reordering model to solve this problem. In our model, reordering is affected by the overall structures of sentences such as listings, reduplications. and modifications as well as the relationships of adjacent phrases. To this end, we reflect global syntactic contexts including the parts that are not yet translated during the decoding process.
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Collections - College of Informatics > Department of Computer Science and Engineering > 1. Journal Articles
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