Combination of machine translation systems via hypothesis selection from combined n-best lists

Almut Silja Hildebrand, Stephan Vogel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Citations (Scopus)

Abstract

Different approaches in machine translation achieve similar translation quality with a variety of translations in the output. Recently it has been shown, that it is possible to leverage the individual strengths of various systems and improve the overall translation quality by combining translation outputs. In this paper we present a method of hypothesis selection which is relatively simple compared to system combination methods which construct a synthesis of the input hypotheses. Our method uses information from n-best lists from several MT systems and features on the sentence level which are independent from the MT systems involved to improve the translation quality.

Original languageEnglish
Title of host publicationAMTA 2008 - 8th Conference of the Association for Machine Translation in the Americas
Publication statusPublished - 1 Dec 2008
Externally publishedYes
Event8th Biennial Conference of the Association for Machine Translation in the Americas, AMTA 2008 - Waikiki, HI, United States
Duration: 21 Oct 200825 Oct 2008

Other

Other8th Biennial Conference of the Association for Machine Translation in the Americas, AMTA 2008
CountryUnited States
CityWaikiki, HI
Period21/10/0825/10/08

Fingerprint

Information use
Machine Translation System

ASJC Scopus subject areas

  • Language and Linguistics
  • Human-Computer Interaction
  • Software

Cite this

Hildebrand, A. S., & Vogel, S. (2008). Combination of machine translation systems via hypothesis selection from combined n-best lists. In AMTA 2008 - 8th Conference of the Association for Machine Translation in the Americas

Combination of machine translation systems via hypothesis selection from combined n-best lists. / Hildebrand, Almut Silja; Vogel, Stephan.

AMTA 2008 - 8th Conference of the Association for Machine Translation in the Americas. 2008.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hildebrand, AS & Vogel, S 2008, Combination of machine translation systems via hypothesis selection from combined n-best lists. in AMTA 2008 - 8th Conference of the Association for Machine Translation in the Americas. 8th Biennial Conference of the Association for Machine Translation in the Americas, AMTA 2008, Waikiki, HI, United States, 21/10/08.
Hildebrand AS, Vogel S. Combination of machine translation systems via hypothesis selection from combined n-best lists. In AMTA 2008 - 8th Conference of the Association for Machine Translation in the Americas. 2008
Hildebrand, Almut Silja ; Vogel, Stephan. / Combination of machine translation systems via hypothesis selection from combined n-best lists. AMTA 2008 - 8th Conference of the Association for Machine Translation in the Americas. 2008.
@inproceedings{1fe66e203a4d499c8f10293ff1e2ae28,
title = "Combination of machine translation systems via hypothesis selection from combined n-best lists",
abstract = "Different approaches in machine translation achieve similar translation quality with a variety of translations in the output. Recently it has been shown, that it is possible to leverage the individual strengths of various systems and improve the overall translation quality by combining translation outputs. In this paper we present a method of hypothesis selection which is relatively simple compared to system combination methods which construct a synthesis of the input hypotheses. Our method uses information from n-best lists from several MT systems and features on the sentence level which are independent from the MT systems involved to improve the translation quality.",
author = "Hildebrand, {Almut Silja} and Stephan Vogel",
year = "2008",
month = "12",
day = "1",
language = "English",
booktitle = "AMTA 2008 - 8th Conference of the Association for Machine Translation in the Americas",

}

TY - GEN

T1 - Combination of machine translation systems via hypothesis selection from combined n-best lists

AU - Hildebrand, Almut Silja

AU - Vogel, Stephan

PY - 2008/12/1

Y1 - 2008/12/1

N2 - Different approaches in machine translation achieve similar translation quality with a variety of translations in the output. Recently it has been shown, that it is possible to leverage the individual strengths of various systems and improve the overall translation quality by combining translation outputs. In this paper we present a method of hypothesis selection which is relatively simple compared to system combination methods which construct a synthesis of the input hypotheses. Our method uses information from n-best lists from several MT systems and features on the sentence level which are independent from the MT systems involved to improve the translation quality.

AB - Different approaches in machine translation achieve similar translation quality with a variety of translations in the output. Recently it has been shown, that it is possible to leverage the individual strengths of various systems and improve the overall translation quality by combining translation outputs. In this paper we present a method of hypothesis selection which is relatively simple compared to system combination methods which construct a synthesis of the input hypotheses. Our method uses information from n-best lists from several MT systems and features on the sentence level which are independent from the MT systems involved to improve the translation quality.

UR - http://www.scopus.com/inward/record.url?scp=84858056555&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84858056555&partnerID=8YFLogxK

M3 - Conference contribution

BT - AMTA 2008 - 8th Conference of the Association for Machine Translation in the Americas

ER -