Papers for Relevance Assessment by Robert C. Moore

Research Question: How can the model be evaluated?

Reformulation: How can the weighted linear word alignment model be evaluated?

Paper ID
(Link to PDF)

Title

Author(s)

C02-1003

Learning Chinese Bracketing Knowledge Based on a Bilingual Language Model

Yajuan Lu; Sheng Li; Tiejun Zhao; Muyun Yang

C00-2163

A Comparison of Alignment Models for Statistical Machine Translation

Franz Josef Och; Hermann Ney

P03-1012

A Probability Model to Improve Word Alignment

Colin Cherry; Dekang Lin

352_pdf_2-col

Improving IBM Word Alignment Model 1

Robert C. Moore

P00-1056

Improved Statistical Alignment Models

Franz Josef Och; Hermann Ney

W05-0809

Word Alignment for Languages with Scarce Resources

Joel Martin; Rada Mihalcea; Ted Pedersen

W03-0306

Word Alignment Baselines

John C. Henderson

C02-1009

A Robust Cross-Style Bilingual Sentences Alignment Model

Tz-Liang Kueng; Keh-Yih Su

W02-1019

Minimum Bayes-Risk Word Alignments of Bilingual Texts

Shankar Kumar; William Byrne

W03-0307

Phrase-based Evaluation of Word-to-Word Alignments

Michael Carl; Sisay Fissaha

P05-2012

Phrase Linguistic Classification and Generalization for Improving Statistical Machine Translation

Adria de Gispert

32-618

Symmetric Word Alignments for Statistical Machine Translation

Evgeny Matusov, Richard Zens and Hermann Ney

P05-1058

Alignment Model Adaptation for Domain-Specific Word Alignment

Hua Wu; Haifeng Wang; Zhanyi Liu

W00-1314

Word Alignment of English-Chinese Bilingual Corpus Based on Chucks

Le Sun; Youbing Jin; Lin Du; Yufang Sun

wu_hua

Improving Domain-Specific Word Alignment for Computer Assisted Translation

Wu Hua and Wang Haifeng