Recent Advances in Example-Based Machine Translation
General Material Designation
[Book]
First Statement of Responsibility
edited by Michael Carl, Andy Way.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Dordrecht
Name of Publisher, Distributor, etc.
Springer Netherlands
Date of Publication, Distribution, etc.
2003
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
(520 pages)
SERIES
Series Title
Text, speech, and language technology, 21.
CONTENTS NOTE
Text of Note
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.
SUMMARY OR ABSTRACT
Text of Note
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.