Recent Advances in Example-Based Machine Translation

Framsida
M. Carl, Andy Way
Springer Science & Business Media, 30 juni 2003 - 482 sidor

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.

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An Overview of EBMT
3
What is ExampleBased Machine Translation?
59
ExampleBased Machine Translation in a Controlled Environment
83
EBMT Seen as Casebased Reasoning
115
Runtime Approaches to EBMT
155
Formalizing Translation memory
157
EBMT Using DPMatching Between Word Sequences
189
A Hybrid Rule and ExampleBased Method for Machine Translation
211
Clustered Transfer Rule Induction for ExampleBased Translation
287
Translation Patterns Linguistic Knowledge and Complexity in EBMT
307
Inducing Translation Grammars from Bracketed Alignments
339
EBMT and Derivation Trees
363
Extracting Translation Knowledge from Parallel Corpora
365
Finding Translation Patterns from Dependency Structures
397
A BestFirst Alignment Algorithm for Extraction of Transfer Mappings
421
Translating with Examples The LFGDOT Models of Translation
443

EBMT OF POSTagged Sentences via Inductive Learning
225
TemplateDriven EBMT
253
Learning Translation Templates from Bilingual Translation Examples
255

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