Paper ID
(Link to PDF)

Title

Author(s)

H05-1011

A Discriminative Framework for Bilingual Word Alignment

Robert C. Moore

H05-1096

Word-Level Confidence Estimation for Machine Translation using Phrase-Based Translation Models

Nicola Ueffing; Hermann Ney

6-130

Improved Word Alignment Using a Symmetric Lexicon Model

Richard Zens, Evgeny Matusov and Hermann Ney

J04-4002

The Alignment Template Approach to Statistical Machine Translation

Franz Josef Och; Hermann Ney

W05-0809

Word Alignment for Languages with Scarce Resources

Joel Martin; Rada Mihalcea; Ted Pedersen

W02-2030

Feature Selection for a Rich HPSG Grammar Using Decision Trees

Kristina Toutanova; Christopher D. Manning

238_pdf_2-col

Statistical Machine Translation with Word- and Sentence-Aligned Parallel Corpora

Chris Callison-Burch, David Talbot and Miles Osborne

54_Paper

A Smorgasbord of Features for Statistical Machine Translation

Franz Josef Och, Daniel Gildea, Sanjeev Khudanpur, Anoop Sarkar, Kenji Yamada, Alex Fraser, Shankar Kumar, Libin Shen, David Smith, Katherine Eng, Viren Jain, Zhen Jin and Dragomir Radev

C00-2163

A Comparison of Alignment Models for Statistical Machine Translation

Franz Josef Och; Hermann Ney

H05-1010

A Discriminative Matching Approach to Word Alignment

Ben Taskar; Lacoste-Julien Simon; Klein Dan

P00-1056

Improved Statistical Alignment Models

Franz Josef Och; Hermann Ney

W97-1014

Word Triggers and the EM Algorithm

Christoph Tillmann; Hermann Ney

W05-0814

ISI’s Participation in the Romanian-English Alignment Task

Alexander Fraser; Daniel Marcu

H05-1098

The Hiero Machine Translation System: Extensions, Evaluation, and Analysis

David Chiang; Adam Lopez; Nitin Madnani; Christof Monz; Philip Resnik; Michael Subotin

J04-2003

Statistical Machine Translation with Scarce Resources Using Morpho-syntactic Information

Sonja Nielsen and Hermann Ney