Abstract is missing.
- An n-gram Approach to Exploiting a Monolingual Corpus for Machine TranslationToni Badia, Gemma Boleda, Maite Melero, Antoni Oliver 0001. 1-7 [doi]
- Context-sensitive Retrieval for Example-based TranslationRalf Brown. 9-15 [doi]
- Reversible Template-based Shake & Bake GenerationMichel Carl, Paul Schmidt, Jörg Schütz. 17-25 [doi]
- Learning Translation Templates with Type ConstraintsIlyas Cicekli. 27-33 [doi]
- The Influence of Example-data Homogeneity on EBMT QualityEtienne Denoual. 35-42 [doi]
- METISII: Example-based Machine Translation Using Monolingual CorporaSystem DescriptionPeter Dirix, Ineke Schuurman, Vincent Vandeghinste. 43-50 [doi]
- Graph-based Retrieval for Example-based Machine Translation Using Edit-distanceTakao Doi, Hirofumi Yamamoto, Eiichiro Sumita. 51-58 [doi]
- Assembling a Parallel Corpus from RSS News FeedsJohn Fry. 59-62 [doi]
- Towards a Definition of Example-based Machine TranslationJohn Hutchins. 63-70 [doi]
- EBMT by Tree-Phrasing: a Pilot StudyPhilippe Langlais, Fabrizio Gotti, Didier Bourigault, Claude Coulombe. 71-80 [doi]
- The 'purest' EBMT System Ever Built: No Variables, No Templates, No Training, Examples, Just Examples, Only ExamplesYves Lepage, Etienne Denoual. 81-90 [doi]
- Monolingual Corpus-based MT Using ChunksStella Markantonatou, Sokratis Sofianopoulos, Vassiliki Spilioti, Yiorgos Tambouratzis, Marina Vassiliou, Olga Yannoutsou, Nikos Ioannou. 91-98 [doi]
- Dependency Treelet Translation: The Convergence of Statistical and Example-based Machine-translation?Arul Menezes, Chris Quirk. 99-108 [doi]
- An Example-Based Approach to Translating Sign LanguageSara Morrissey, Andy Way. 109-116 [doi]
- A Machine Learning Approach to Hypotheses Selection of Greedy Decoding for SMTMichael Paul, Eiichiro Sumita, Seiichi Yamamoto. 117-124 [doi]
- A Semantics-based English-Bengali EBMT System for Translating News HeadlinesDiganta Saha, Sivaji Bandyopadhyay. 125-133 [doi]
- Example-based Translation Without Parallel Corpora: First Experiments on a PrototypeVincent Vandeghinste, Peter Dirix, Ineke Schuurman. 135-142 [doi]