I Foundations of EBMT -- 1 An Overview of EBMT -- 2 What is Example-Based Machine Translation? -- 3 Example-Based Machine Translation in a Controlled Environment -- 4 EBMT Seen as Case-based Reasoning -- II Run-time Approaches to EBMT -- 5 Formalizing Translation Memory -- 6 EBMT Using DP-Matching Between Word Sequences -- 7 A Hybrid Rule and Example-Based Method for Machine Translation -- 8 EBMT of POS-Tagged Sentences via Inductive Learning -- III Template-Driven EBMT -- 9 Learning Translation Templates from Bilingual Translation Examples -- 10 Clustered Transfer Rule Induction for Example-Based Translation -- 11 Translation Patterns, Linguistic Knowledge and Complexity in EBMT -- 12 Inducing Translation Grammars from Bracketed Alignments -- IV EBMT and Derivation Trees -- 13 Extracting Translation Knowledge from Parallel Corpora -- 14 Finding Translation Patterns from Dependency Structures -- 15 A Best-First Alignment Algorithm for Extraction of Transfer Mappings -- 16 Translating with Examples: The LFG-DOT Models of Translation.