Recent Advances in Example-Based Machine Translation: 21 - Brossura

Carl, M.

Brossura

ISBN 10: 1402014015 ISBN 13: 9781402014017

Casa editrice: Springer, 2003

Riassunto

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.

Su questo libro

Recensione

Michael Carl and Andy Way have done the field of MT and that of natural language processing in general a big favor by producing this collection. This is the first (fat) book-sized collection of current research in this fascinating area of MT, and it contains a number of chapters that will bring anyone interested quickly up to speed in this research area. ...

I would recommend this book to everyone active or interested in MT, and especially the papers of the foundational part I to computational linguistics researchers in general.

Reviewed by:
Walter Daelemans, University of Antwerp
in: Computational Linguistics, Volume 30, Number 4

Contenuti

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.

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2003
• Lingua: Inglese
• ISBN 10: 1402014015
• ISBN 13: 9781402014017
• Rilegatura: Copertina flessibile
• Numero di pagine: 516
• Redattore: Way Andy
• Contatto del produttore: non disponibile
• Persona responsabile: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania