Toni Badia, Gemma Boleda, Maite Melero and Antoni Oliver
An n-gram approach to exploiting a monolingual corpus for Machine Translation
Ralf Brown
Context-Sensitive Retrieval for Example-Based Translation
Michael Carl, Paul Schmidt, and Jörg Schütz
Reversible Template-based Shake & Bake Generation
Ilyas Cicekli
Learning Translation Templates with Type Constraints
Etienne Denoual
The influence of example-data homogeneity on EBMT quality
Peter Dirix, Ineke Schuurman, and Vincent Vandeghinste
METIS-II: Example-based machine translation using monolingual corpora - System description Takao Doi, Hirofumi Yamamoto, and Eiichiro Sumita
Graph-based Retrieval for Example-based Machine
Translation Using Edit Distance
John Fry
Assembling a parallel corpus
from RSS news feeds
John Hutchins Towards a definition of example-based machine translation
Philippe Langlais, Fabrizio Gotti, Didier Bourigault and Claude Coulombe
EBMT by Tree-Phrasing: a Pilot Study
Yves Lepage and Etienne Denoual The purest EBMT system ever built: no variables, no templates, no training, examples, just examples, only examples
Stella Markantonatou, Sokratis Sofianopoulos,
Vassiliki Spilioti,Yiorgos Tambouratzis, Marina Vassiliou, Olga
Yannoutsou, Nikos Ioannou
Monolingual Corpus-based MT using Chunks
Arul Menezes and Chris Quirk
Dependency Treelet Translation:
The convergence of statistical and example-based machine-translation?
Sara Morrissey and Andy Way
An Example-Based Approach to Translating Sign Language
Michael Paul, Eiichiro Sumita and Seiichi Yamamoto
A Machine Learning Approach to Hypotheses Selection of Greedy Decoding for SMT
Diganta Saha and Sivaji Bandyopadhyay
A Semantics-based English-Bengali EBMT System for translating News Headlines
Vincent Vandeghinste, Peter Dirix, and Ineke
Schuurman
Example-based Translation without Parallel
Corpora: First experiments on a prototype