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» Computational Complexity of Statistical Machine Translation
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COLING
2010
13 years 2 months ago
Syntax Based Reordering with Automatically Derived Rules for Improved Statistical Machine Translation
Syntax based reordering has been shown to be an effective way of handling word order differences between source and target languages in Statistical Machine Translation (SMT) syste...
Karthik Visweswariah, Jiri Navratil, Jeffrey S. So...
COLING
2010
13 years 2 months ago
Dependency-Based Bracketing Transduction Grammar for Statistical Machine Translation
In this paper, we propose a novel dependency-based bracketing transduction grammar for statistical machine translation, which converts a source sentence into a target dependency t...
Jinsong Su, Yang Liu, Haitao Mi, Hongmei Zhao, Yaj...
ACL
2012
11 years 10 months ago
A Comparative Study of Target Dependency Structures for Statistical Machine Translation
This paper presents a comparative study of target dependency structures yielded by several state-of-the-art linguistic parsers. Our approach is to measure the impact of these noni...
Xianchao Wu, Katsuhito Sudoh, Kevin Duh, Hajime Ts...
ACL
2012
11 years 10 months ago
Post-ordering by Parsing for Japanese-English Statistical Machine Translation
Reordering is a difficult task in translating between widely different languages such as Japanese and English. We employ the postordering framework proposed by (Sudoh et al., 201...
Isao Goto, Masao Utiyama, Eiichiro Sumita
ICPR
2010
IEEE
14 years 2 months ago
Automatic Pathology Annotation on Medical Images: A Statistical Machine Translation Framework
Large number of medical images are produced daily in hospitals and medical institutions, the needs to efficiently process, index, search and retrieve these images are great. In t...
Tianxia Gong, Shimiao Li, Chew-Lim Tan, Boon Chuan...