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 CzechâInclusion 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
|