Papers for Relevance Assessment by Haizhou Li

Research Question: Can we classify the spoken documents by language in the same way as we classify text documents?

Paper ID
(Link to PDF)

Title

Author(s)

J93-2003

The Mathematics of Statistical Machine Translation: Parameter Estimation

Peter E Brown; Vincent J. Della Pietra; Stephen A. Della Pietra; Robert L. Mercer

W99-0312

A mark up language for tagging discourse and annotating documents in context sensitive interpretation environments

Graziella Tonfoni

W99-0906

A Computational Approach to Deciphering Unknown Scripts

Kevin Knight; Kenji Yamada

N03-1001

Effective Utterance Classification with Unsupervised Phonotactic Models

Hiyan Alshawi

W99-0908

Text Classification by Bootstrapping with Keywords, EM and Shrinkage

Andrew McCallum; Kamal Nigam

W05-0404

Using Semantic and Syntactic Graphs for Call Classification

Dilek Hakkani-Tur; Gokhan Tur; Ananlada Chotimongkol

C94-2172

DOCUMENT CLASSIFICATION BY MACHINE:Theory and Practice

Louise Guthrie; Elbert Walker

C02-1085

Detecting Shifts in News Stories for Paragraph Extraction

Fumiyo Fukumoto; Yoshimi Suzuki

W03-1104

A Differential LSI Method for Document Classification

Liang Chen; Naoyuki Tokuda; Akira Nagai

C96-2134

Document Classification Using Domain Specific Kanji Characters Extracted by X2 Method

Yasuhiko Watanabe; Masaki Murata; Masahito Takeuchi; Makoto Nagao

C94-1091

CLASSIFIER ASSIGNMENT BY CORPUS-BASED APPROACH

Virach Sornlertlamvanich; Wantanee Pantachat; Surapant Meknavin

C02-1155

Multi-Dimensional Text Classification

Thanaruk Theeramunkong; Verayuth Lertnattee

W99-0604

Improved Alignment Models for Statistical Machine Translation

Franz Josef Och; Christoph Tillmann; Hermann Ney

P00-1056

Improved Statistical Alignment Models

Franz Josef Och; Hermann Ney

J03-1002

A Systematic Comparison of Various Statistical Alignment Models

Franz Josef Och; Hermann Ney