Papers for Relevance Assessment by Hua Wu

Research Question: statistical word alignment

Paper ID
(Link to PDF)

Title

Author(s)

wu_hua

Improving Domain-Specific Word Alignment for Computer Assisted Translation

Wu Hua and Wang Haifeng

W03-0304

Statistical Translation Alignment with Compositionality Constraints

Michel Simard; Philippe Langlais

W02-1012

Extentions to HMM-based Statistical Word Alignment Models

Kristina Toutanova; H. Tolga Ilhan; Christopher Manning

5-115

Improving Statistical Word Alignment with a Rule-Based Machine Translation System

Hua Wu and Haifeng Wang

P05-2012

Phrase Linguistic Classification and Generalization for Improving Statistical Machine Translation

Adria de Gispert

5-115

Improving Statistical Word Alignment with a Rule-Based Machine Translation System

Hua Wu and Haifeng Wang

P99-1071

Information Fusion in the Context of Multi-Document Summarization

Regina Barzilay; Kathleen R. McKeown; Michael Elhadad

C96-2141

HMM-Based Word Alignment in Statistical Translation

Stephan Vogel; Hermann Ney; Christoph Tillmann

H05-1022

HMM Word and Phrase Alignment for Statistical Machine Translation

Yonggang Deng; William Byrne

Wang

Improving Word Alignment Models using Structured Monolingual Corpora

Wei Wang and Ming Zhou

C00-2163

A Comparison of Alignment Models for Statistical Machine Translation

Franz Josef Och; Hermann Ney

E03-2014

Event-Coreference across Multiple, Multi-lingual Sources in the Mumis Project

Horacio Saggion, Hamish Cunningham, Jan Kuper, Thierry Declerck, Peter Wittenburg

N03-2017

Word Alignment with Cohesion Constraint

Dekang Lin; Colin Cherry

J98-3005

Generating Natural Language Summaries from Multiple On-Line Sources

Dragomir R. Radev; Kathleen R. McKeown

238_pdf_2-col

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

Chris Callison-Burch, David Talbot and Miles Osborne