Title	Recent Advances in Example-Based Machine Translation [electronic resource] / edited by Michael Carl, Andy Way
Imprint	Dordrecht : Springer Netherlands : Imprint: Springer, 2003
Connect to	http://dx.doi.org/10.1007/978-94-010-0181-6
Descript	XXXI, 482 p. online resource

Recent Advances in Example-Based Machine Translation is of relevance to researchers and program developers in the field of Machine Translation and especially Example-Based Machine Translation, bilingual text processing and cross-linguistic information retrieval. It is also of interest to translation technologists and localisation professionals. Recent Advances in Example-Based Machine Translation fills a void, because it is the first book to tackle the issue of EBMT in depth. It gives a state-of-the-art overview of EBMT techniques and provides a coherent structure in which all aspects of EBMT are embedded. Its contributions are written by long-standing researchers in the field of MT in general, and EBMT in particular. This book can be used in graduate-level courses in machine translation and statistical NLP

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