Paper ID
(Link to PDF)

Title

Author(s)

P05-1022

Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking

Eugene Charniak; Mark Johnson

W05-0822

PORTAGE: A Phrase-Based Machine Translation System

Fatiha Sadat; Howard Johnson; Akakpo Agbago; George Foster; Roland Kuhn; Joel Martin; Aaron Tikuisis

128_Paper

A Statistical Model for Multilingual Entity Detection and Tracking

R Florian, H Hassan, A Ittycheriah, H Jing, N Kambhatla, X Luo, N Nicolov and S Roukos

W05-0612

An Expectation Maximization Approach to Pronoun Resolution

Colin Cherry; Shane Bergsma

H05-1096

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

Nicola Ueffing; Hermann Ney

W03-1019

Investigating Loss Functions and Optimization Methods for Discriminative Learning of Label Sequences

Yasemin Altun; Mark Johnson; Thomas Hofmann

P02-1001

Parameter Estimation for Probabilistic Finite-State Transducers

Jason Eisner

W03-0315

Efficient Optimization for Bilingual Sentence Alignment Based on Linear Regression

Bing Zhao; Klaus Zechner; Stephen Vogel; Alex Waibel

W05-0809

Word Alignment for Languages with Scarce Resources

Joel Martin; Rada Mihalcea; Ted Pedersen

32-618

Symmetric Word Alignments for Statistical Machine Translation

Evgeny Matusov, Richard Zens and Hermann Ney

W05-0821

Improved Language Modeling for Statistical Machine Translation

Katrin Kirchhoff; Mei Yang

W00-0707

Incorporating Position Information into a Maximum Entropy/Minimum Divergence Translation Model

George Foster

352_pdf_2-col

Improving IBM Word Alignment Model 1

Robert C. Moore

C00-2163

A Comparison of Alignment Models for Statistical Machine Translation

Franz Josef Och; Hermann Ney

P97-1040

Efficient Generation in Primitive Optimality Theory

Jason Eisner