An example-based decoder for spoken language machine translation

Zhou Jun Li; Wen Han Chao; Yue Xin Chen

An example-based decoder for spoken language machine translation

Zhou Jun Li
, Wen Han Chao
, Yue Xin Chen

School of Computer Science and Engineering

National University of Defense Technology

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

1 Scopus citations

Abstract

In this paper, we propose an example-based decoder for a statistical machine translation (SMT) system, which is used for spoken language machine translation. In this way, it will help to solve the re-ordering problem and other problems for spoken language MT, such as lots of omissions, idioms etc. Through experiments, we show that this approach obtains improvements over the baseline on a Chinese-English spoken language translation task.

Original language	English
Pages	1-8
Number of pages	8
State	Published - 2008
Event	6th SIGHAN Workshop on Chinese Language Processing, SIGHAN 2008 - Hyderabad, India Duration: 11 Jan 2008 → 12 Jan 2008

Conference

Conference	6th SIGHAN Workshop on Chinese Language Processing, SIGHAN 2008
Country/Territory	India
City	Hyderabad
Period	11/01/08 → 12/01/08

Cite this

@conference{f73535a6860a493fb043f70cf692019b,

title = "An example-based decoder for spoken language machine translation",

abstract = "In this paper, we propose an example-based decoder for a statistical machine translation (SMT) system, which is used for spoken language machine translation. In this way, it will help to solve the re-ordering problem and other problems for spoken language MT, such as lots of omissions, idioms etc. Through experiments, we show that this approach obtains improvements over the baseline on a Chinese-English spoken language translation task.",

author = "Li, \{Zhou Jun\} and Chao, \{Wen Han\} and Chen, \{Yue Xin\}",

year = "2008",

language = "英语",

pages = "1--8",

}

TY - CONF

T1 - An example-based decoder for spoken language machine translation

AU - Li, Zhou Jun

AU - Chao, Wen Han

AU - Chen, Yue Xin

PY - 2008

Y1 - 2008

N2 - In this paper, we propose an example-based decoder for a statistical machine translation (SMT) system, which is used for spoken language machine translation. In this way, it will help to solve the re-ordering problem and other problems for spoken language MT, such as lots of omissions, idioms etc. Through experiments, we show that this approach obtains improvements over the baseline on a Chinese-English spoken language translation task.

AB - In this paper, we propose an example-based decoder for a statistical machine translation (SMT) system, which is used for spoken language machine translation. In this way, it will help to solve the re-ordering problem and other problems for spoken language MT, such as lots of omissions, idioms etc. Through experiments, we show that this approach obtains improvements over the baseline on a Chinese-English spoken language translation task.

UR - https://www.scopus.com/pages/publications/79955833678

M3 - 论文

AN - SCOPUS:79955833678

SP - 1

EP - 8

T2 - 6th SIGHAN Workshop on Chinese Language Processing, SIGHAN 2008

Y2 - 11 January 2008 through 12 January 2008

ER -

An example-based decoder for spoken language machine translation

Abstract

Conference

Other files and links

Fingerprint

Cite this