Papers for Relevance Assessment by Yang Liu

Research Question: Training procedure. Which methods can be used to estimate model scaling factors?

Paper ID
(Link to PDF)

Title

Author(s)

J04-4002

The Alignment Template Approach to Statistical Machine Translation

Franz Josef Och; Hermann Ney

22-874

Automatic Learning of Language Model Structure

Kevin Duh and Katrin Kirchhoff

W05-0836

Training and Evaluating Error Minimization Decision Rules for Statistical Machine Translation

Ashish Venugopal; Andreas Zollmann; Alex Waibel

C94-2178

K-vec: A New Approach for Aligning Parallel Texts

Pascale Fung; Kenneth Ward Church

H05-1099

Comparing and Combining Finite-State and Context-Free Parsers

Kristy Hollingshead; Seeger Fisher; Brian Roark

H93-1021

ADAPTIVE LANGUAGE MODELING USING THE MAXIMUM ENTROPY PRINCIPLE

Raymond Lau; Ronald Rosenfeld; Salim Roukos

W96-0113

A Re-estimation Method for Stochastic Language Modeling from Ambiguous Observations

Mikio Yamamoto

P93-1002

ALIGNING SENTENCES IN BILINGUAL CORPORA USING LEXICAL INFORMATION

Stanley F. Chen

C02-2005

Scaled Log Likelihood Ratios for the Detection of Abbreviations in Text Corpora

Tibor Kiss; Jan Strunk

P03-1041

Effective Phrase Translation Extraction from Alignment Models

Ashish Venugopal; Stephan Vogel; Alex Waibel

P91-1022

ALIGNING SENTENCES IN PARALLEL CORPORA

Peter F. Brown; Jennifer C. Lai; Robert L. Mercer

P05-2021

Speech Recognition of Czechâ€”Inclusion of Rare Words Helps

Petr Podvesky; Pavel Machek

W97-0120

A Self-Organizing Japanese Word Segmenter using Heuristic Word Identification and Re-estimation

Masaaki Nagata

J99-2002

Decomposable Modeling in Natural Language Processing

Rebecca F. Bruce; Janyce M. Wiebe

J94-4005

Training and Scaling Preference Functions for Disambiguation

Hiyan Alshawi; David Carter