Paper ID
(Link to PDF)

Title

Author(s)

H05-1097

Word-Sense Disambiguation for Machine Translation

David Vickrey; Luke Biewald; Marc Teyssier; Daphne Koller

6-130

Improved Word Alignment Using a Symmetric Lexicon Model

Richard Zens, Evgeny Matusov and Hermann Ney

P05-2012

Phrase Linguistic Classification and Generalization for Improving Statistical Machine Translation

Adria de Gispert

P94-1042

A COMPUTATIONAL VIEW OF THE COGNITIVE SEMANTICS OF SPATIAL PREPOSITIONS

Patrick Olivier

32-618

Symmetric Word Alignments for Statistical Machine Translation

Evgeny Matusov, Richard Zens and Hermann Ney

P03-1012

A Probability Model to Improve Word Alignment

Colin Cherry; Dekang Lin

C00-2163

A Comparison of Alignment Models for Statistical Machine Translation

Franz Josef Och; Hermann Ney

W03-0306

Word Alignment Baselines

John C. Henderson

W05-0821

Improved Language Modeling for Statistical Machine Translation

Katrin Kirchhoff; Mei Yang

352_pdf_2-col

Improving IBM Word Alignment Model 1

Robert C. Moore

H05-1010

A Discriminative Matching Approach to Word Alignment

Ben Taskar; Lacoste-Julien Simon; Klein Dan

W05-0612

An Expectation Maximization Approach to Pronoun Resolution

Colin Cherry; Shane Bergsma

N03-2021

Precision and Recall of Machine Translation

I. Dan Melamed; Ryan Green; Joseph P. Turian

W05-0908

On Some Pitfalls in Automatic Evaluation and Significance Testing for MT

Stefan Riezler; John T. Maxwell

W03-0315

Efficient Optimization for Bilingual Sentence Alignment Based on Linear Regression

Bing Zhao; Klaus Zechner; Stephen Vogel; Alex Waibel