Linguistic analysis of non-ITG word reordering between language pairs with different word order typologies
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Published:2014-10-03
Issue:3
Volume:13
Page:1-12
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ISSN:1530-0226
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Container-title:ACM Transactions on Asian Language Information Processing
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language:en
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Short-container-title:ACM Transactions on Asian Language Information Processing
Author:
Na Hwidong1,
Lee Jong-Hyeok1
Affiliation:
1. Pohang University of Science and Technology (POSTECH)
Abstract
The Inversion Transduction Grammar (ITG) constraints have been widely used for word reordering in machine translation studies. They are, however, so restricted that some types of word reordering cannot be handled properly. We analyze three corpora between SVO and SOV languages: Chinese-Korean, English-Japanese, and English-Korean. In our analysis, sentences that require non-ITG word reordering are manually categorized. We also report the results for two quantitative measures that reveal the significance of non-ITG word reordering. In conclusion, we suggest that ITG constraints are insufficient to deal with word reordering in real situations.
Funder
Korea Evaluation Institute of Industrial Technology
Korea Science and Engineering Foundation
CSLi corporation
BK 21+ Project
Ministry of Science, ICT and Future Planning
Publisher
Association for Computing Machinery (ACM)
Subject
General Computer Science