Papers for Relevance Assessment by Young-Sook Hwang

Research Question: Improve the performance of statistical machine translation while reducing the computational complexities during the decoding?

Paper ID
(Link to PDF)

Title

Author(s)

P01-1030

Fast Decoding and Optimal Decoding for Machine Translation

Ulrich Germann; Michael Jahr; Kevin Knight; Daniel Marcu; Kenji Yamada

P98-2158

A DP based Search Algorithm for Statistical Machine Translation

S. NieBen; S. Vogel; H. Ney; C. Tillmann

P96-1021

A Polynomial-Time Algorithm for Statistical Machine Translation

Dekai Wu

W02-1020

User-Friendly Text Prediction For Translators

George Foster; Philippe Langlais; Guy Lapalme

N03-1010

Greedy Decoding for Statistical Machine Translation in Almost Linear Time

Ulrich Germann

P97-1047

Decoding Algorithm in Statistical Machine Translation

Ye-Yi Wang; Alex Waibel

60_Paper

Minimum Bayes-Risk Decoding for Statistical Machine Translation

Shankar Kumar and William Byrne

J90-2002

A STATISTICAL APPROACH TO MACHINE TRANSLATION

Peter F. Brown; John Cocke; Stephen A. Della Pietra; Vincent J. Della Pietra; Fredrick Jelinek; John D. Lafferty; Robert L. Mercer; Paul S. Roossin

60_Paper

Minimum Bayes-Risk Decoding for Statistical Machine Translation

Shankar Kumar and William Byrne

113_pdf_2-col

Statistical Machine Translation by Parsing

I. Dan Melamed

P03-1019

A Comparative Study on Reordering Constraints in Statistical Machine Translation

Richard Zens; Hermann Ney

C02-1050

Bidirectional Decoding for Statistical Machine Translation

Taro Watanabe; Eiichiro Sumita

J04-4002

The Alignment Template Approach to Statistical Machine Translation

Franz Josef Och; Hermann Ney

P98-2230

Machine Translation with a Stochastic Grammatical Channel

Dekai WU; Hongsing WONG HKUST

J03-1005

Word Reordering and a Dynamic Programming Beam Search Algorithm for Statistical Machine Translation

Christoph Tillmann; Hermann Ney