A Radically Simple, Effective Annotation and Alignment Methodology for Semantic Frame Based SMT and MT Evaluation

Dekai Wu

A Radically Simple, Effective Annotation and Alignment Methodology for Semantic Frame Based SMT and MT Evaluation

Dekai Wu

Department of Computer Science and Engineering

Research output: Contribution to conference › Conference Paper › peer-review

Original language	English
Pages	58-65
Publication status	Published - 2011
Event	International Workshop on Using Linguistic Information for Hybrid Machine Translation LIHMT - Duration: 1 Jan 2011 → 1 Jan 2011

Conference

Conference	International Workshop on Using Linguistic Information for Hybrid Machine Translation LIHMT
Period	1/01/11 → 1/01/11

Access to Document

https://hdl.handle.net/1783.1/78404

Cite this

@conference{7828cb2938aa4b098b0febf6578671c2,

title = "A Radically Simple, Effective Annotation and Alignment Methodology for Semantic Frame Based SMT and MT Evaluation",

author = "Dekai Wu",

year = "2011",

language = "English",

pages = "58--65",

note = "International Workshop on Using Linguistic Information for Hybrid Machine Translation LIHMT ; Conference date: 01-01-2011 Through 01-01-2011",

}